Brookings/ICF Long-Term Care Financing Model: Programmer's/Operator's Manual

02/01/1992

U.S. Department of Health and Human Services

Brookings/ICF Long Term Care Financing Model: Programmer's/Operator's Manual

Peter Robertshaw and Lisa Maria B. Alecxih

February 1992

PDF Version (69 PDF pages)


This report was prepared under contract #HHS-100-94-0016 between the U.S. Department of Health and Human Services (HHS), Office of Disability, Aging and Long-Term Care Policy (DALTCP) and the Lewin Group. For additional information about the study, you may visit the DALTCP home page at http://aspe.hhs.gov/_/office_specific/daltcp.cfm or contact the ASPE Project Officer, John Drabek, at HHS/ASPE/DALTCP, Room 424E, H.H. Humphrey Building, 200 Independence Avenue, SW, Washington, DC 20201. His e-mail address is: John.Drabek@hhs.gov.


TABLE OF CONTENTS

OVERVIEW OF THE PROJECT

PREFACE

INTRODUCTION

I. MODEL DESCRIPTION

A. Overview

B. Code Structure

C. FORTRAN Subroutines

D. Assembler Subroutines

II. INPUT DATA SETS

III. OUTPUT DATAFILES

IV. RUNNING THE MODEL

A. Preparing to Run the Model

B. Running the Model

V. JOB CONTROL FILE

VI. UTILITY PROGRAMS

A. CHEKFL

B. TABLE2

VII. GENERATING A PERSON LEVEL FILE FOR TABULATIONS

ATTACHMENTS (separate file)

ATTACHMENT 1: DISLIFE.NEW -- Purchase probabilities

ATTACHMENT 2: DB.NEW -- Death benefits

ATTACHMENT 3: RPU.NEW -- Reduced paid up options

ATTACHMENT 4: PRE.NEW -- Monthly premium rates

ATTACHMENT 5: LAPSE.NEW -- Pension lapse rates

ATTACHMENT 6: Memo on Computer Budget for NIH Account

LIST OF FIGURES

FIGURE 1. Program Logic at the Subroutine Level

TABLE 1. Subroutine Descriptions

TABLE 2. Assembler Subroutine Descriptions

TABLE 3. Model Input Data Sets

TABLE 4. Summary of Model Output Files

TABLE 5. Example JCL for Model Execution

TABLE 6. Example DCL for Model Execution

TABLE 7. Sample Job Control File

TABLE 8. Sample Command Files for CHEKFL

TABLE 9. Input Parameters for the TABLE2 Utility

TABLE 10. Sample JCL and DCL for TABLE2

TABLE 11. Record Layout for Output Data File

OVERVIEW OF THE PROJECT

In September of 1988, the Office of the Assistant Secretary for Planning and Evaluation (ASPE) contracted with Lewin-ICF and the Brookings Institution to develop a public use version of the Brookings/ICF Long Term Care Financing Model. Using microsimulation techniques, the model projects the utilization and sources of financing for nursing home and home care services among the elderly to the year 2020.

Under this contract, many of the assumptions used in the model were revised to reflect data and findings that had recently become available. As the need for alternative policy simulations arose, the capabilities of the model were expanded. Examples of the types of simulations modeled include: the purchase of new private long term care insurance products; the use of pension funds to purchase long term care insurance; and publicly sponsored programs, such as the long term care benefits proposed by the Pepper Commission.

One of the products of this project is a public use version of the model code and accompanying documentation. The documentation includes:

Model Assumptions, which presents the assumptions used in developing the model.

Designing and Using Model Simulations, which presents assumptions used in modeling alternative proposals and using the results of the model.

A User's Guide to Specifying Simulations, which details how to specify simulations using the model's parameters.

A Programmer's/Operator's Manual, which shows the code structure and operation of the model.

PREFACE

This report is one of four related to the Brookings/ICF Long Term Care Financing Model. It outlines the programming logic, input and output data sets, and running the model. The three other documents discuss: 1) the assumptions used in developing the model; 2) assumptions used in modeling alternative proposals; and 3) using the results of the model, and how to specify simulations using the model's parameters.

This documentation was prepared by Peter Robertshaw, a subcontractor to Lewin-ICF and Lisa Maria B. Alecxih of Lewin-ICF. John Drabek, serving as the project officer, and Paul Gayer of the Office of the Assistant Secretary for Planning and Evaluation provided invaluable comments.

This report was developed as part of the documentation of a public use version of the Brookings/ICF Long Term Care Financing Model for the Office of the Assistant Secretary for Planning and Evaluation. Other reports in this series include:

Copies of the reports may be obtained by writing to:     Brenda Veazey     Department of Health and Human Services     Room 424E, Humphrey Building     200 Independence Avenue, S.W.     Washington, D.C. 20201

PROGRAMMERS/OPERATORS MANUAL

This document is intended to assist programmers/operators in the use of the Brookings/ICF Long Term Financing Model. Section I of this document is a description of the model. This description presents a brief overview of the model's purpose and a brief description of the programming logic at a subroutine level.

Section II and Section III of this document describe in detail the input and output data sets used by the model. Section IV discusses the editing, compiling, linking and running of the model from an operator's viewpoint. Sample JCL and DCL batch files are included to assist in the setup of the model. Section V gives details on the job control file (LTC2.CON) which is used to control important user-variable aspects of the simulation.

Section VI describes two utility programs for use with the model. The first is a table extraction utility, which gives the user the ability to extract a specified list of tables, suitable for printing or down-loading and importing into a PC-based spreadsheet. The second utility checks two parameter files and reports any differences between them.

Finally, Section VII describes a FORTRAN program that converts an optional data set produced by the model into a person level file from which tabulations may be produced.

I. MODEL DESCRIPTION

A. Overview

The Brookings/ICF Long Term Care (LTC) simulation model simulates the utilization and financing of both institutional and noninstitutional long-term care services for elderly individuals through the year 2020. Institutional services include nursing home care provided by skilled nursing facilities and intermediate care facilities. Noninstitutional services include home health, homemaker, choremaker, personal care, and meal preparation services. The model simulates the number of individuals receiving these services and the costs of these services as financed by various public and private sources. The overall objective of the model is to simulate the effects of various financing and organizational reform options on future public and private expenditures for nursing home and home care services.

The model begins with a nationally representative sample of the adult U.S. population. Each member of this sample population is assigned a weight value which, when aggregated, will approximate the total U.S. population in terms of both number of persons and demographic (i.e. age, sex, etc.) characteristics. Each record in the sample database contains information on a person's age, sex, marital status, income, assets, and other characteristics. The model simulates changes for each individual in the sample population from 1986 to 2020, simulating changes in age, economic status, disability status, utilization of long term care, and method of paying for such care.

The model uses a Monte Carlo simulation methodology. The model simulates changes in an individual's status by drawing a random number between zero and one and comparing it to the fixed probability of that event occurring for an individual with a given set of socio-demographic characteristics. In order to produce consistent results between runs, the random numbers used are drawn from a permanent datafile so that each time the model is run, the same random number is used for each decision made.

The model can be used to simulate long-term care financing assuming changes in private payment methods (such as increased purchase of private long-term care insurance), or new public financing programs. These simulations are greatly affected by the choice of assumptions about the economy (such as the rate of growth of the overall economy and nursing home prices) and individual behavior (such as rates of nursing home utilization and insurance purchase). The model can be used to make estimates using alternative assumptions to show how sensitive the results are to the assumptions chosen. Many of the possible assumptions and options are parameterized to allow for easy model operation.

B. Code Structure

The code structure for the Brookings/ICF Long Term Care Financing model is relatively straight forward. At its simplest level, the program consists of the main line program which calls a variety of subroutines to perform specific tasks. The main line program may be broken down into three sections (see Figure 1): initialization, data processing and reporting.

The initializing step sets up many of the arrays used in the model calculations, including defining tax rates, inflation factors, and poverty levels. Arrays used for accumulating and reporting functions are initialized to zero in this step.

The next step is the data processing loop. This loop is executed once for each record in the database. Intermediate arrays are initialized and then the annual cost loop is entered. This loop is performed for each individual for every year from 1980 to 2025. Within each year the routine checks for nursing home use, sets up random numbers used in the simulation, performs any 'special case' scenarios, checks for insurance availability, calls the costs calculation routines, stores costs in appropriate arrays, and calls the table accumulation routines.

The final step in the program is the reporting step. In this step, the main line programs calls a series of subroutines which total the accumulation arrays and print out the summary tables to the output file. This step is executed after processing the last record in the database.

C. FORTRAN Subroutines

The following tables describe the main line and each of the FORTRAN subroutines in the model. The description includes a listing of which routines call, or are called by, each subroutine. The main line program description is first, followed by each of the subroutines in alphabetical order.

Computer Graphic
TABLE 1. Subroutine Descriptions
Routine Description Calls:
Main (LTC2) This routine performs data initialization, then loops over (i.e. reads) every record in the database. For each record, this routine loops over every year from 1980 to 2025. Within each year of the simulation, the routine checks for nursing home use, sets up random numbers used in the simulation, performs any 'special case' scenarios (hard coded), checks for insurance availability, calls the cost calculation routines, stores costs in appropriate arrays, and calls the table accumulation routines. After processing all the records in the database, this routine calls the table printing routines and then ends the program Called By: -
Calls: PARAINRWJXXXSETUPZILCH1ZILCH3ZIL256DPPAXTAB38NISPRBTAB44RINDVFIXPFIXNIFIXSMOVRMOVRNIGETRANGETASTTAXCLCSMIWEIGHTINSUREHAWCCSSIYRCOSTTBL256HAWACCTBLPJAW2020WRITRACCUMOUTERSSACSSOUTZILCH2HAWTABOOPSOUT256TABLESTBLPJO
AARPA Subroutine AARPA accumulates data reported in Table 30, 35 and 36. Called By: ACCUM
Calls: WEIGHT
AARPT Subroutine AARPT prints out Tables 30, 35 and 36. Called By: PERTAB
Calls: PRUDU
ACCUM Subroutine ACCUM accumulates data for many of the nursing home tables (i.e. Tables 1-10). Initiates calls to various other accumulation routines. Called By: MAIN
Calls: PERACCGAYACCAARPAWEIGHTOUTERBACCUM
ACCYR Subroutine ACCYR accumulates both nursing home and non-institutionalized monthly costs into an annual data grid. Called By: YRCOST
Calls: -
BACCUM Subroutine BACCUM accumulates data for many of the non-institutionalized tables (i.e. Tables 11-20). Called By: ACCUM
Calls: WEIGHTOUTER
CAPG Subroutine CAPG calculates capital gains tax liability. Called By: TAXCLC
Calls: -
CATAVL Subroutine CATAVL determines the amount of income and assets that is available for nursing home payments under the catastrophic coverage act of 1989. Called By: MMCOST
Calls: -
CCGRID Subroutine CCGRID controls the monthly calculation of costs for both nursing home and non-institutionalized services. The routine loops over the months in the year, collects information on whether or not the individual is covered by insurance, checks against deductibles/maximums as applicable, adjusts assets, and calls the routines that do the actual cost calculations. The routine then assigns all costs to the appropriate data grids. Called By: YRCOST
Calls: SSIPUBLICMMCOS2MMCOST
CHKNUM Subroutine CHKNUM checks input parameters that are required to be within specified ranges. Called By: PARAIN
Calls: -
COMMA Character function COMMA is used to format output fields with embedded commas. Called By: All tabling routines
Calls: -
CRDOUT Subroutine CRDOUT is used to dump out individual and spouse data for the credited contribution scenarios. Not currently called by the model (used for debugging purposes only). Called By: -
Calls: -
DPPAX Subroutine DPPAX initializes, accumulates and prints out Table 37 (distribution of pension plan assets by age and family income for 1990). Called By: Main
Calls: -
ENTRY Subroutine ENTRY parses each line of the users input parameter file. This routine is called once for every line in the file. Called By: PARAIN
Calls: IDIG
FIXNI Subroutine FIXNI initializes the non-institutional data array for each year of the simulation. Called By: MAIN
Calls: -
FIXP Subroutine FIXP initializes the individuals data array for each record. Called By: MAIN
Calls: -
FIXS Subroutine FIXS initializes the spouses data array for each record. Called By: MAIN
Calls: -
GAYACC Subroutine GAYACC accumulates data for tables G1 through G5, comparing average income and social security income between nursing home residents, non-residents and all elderly. Called By: ACCUM
Calls: WEIGHT
GAYOUT Subroutine GAYOUT prints out Tables G1 through G5. Called By: PERTAB
Calls: -
GETAST Subroutine GETAST uses the 1984 SIPP databases to impute financial and home equity assets to each individual and spouse. It is called once per record when the individual reaches age 65. Called By: MAIN
Calls: -
GETLOS Subroutine GETLOS fills in the nursing home length of stay array and disability arrays used throughout the model. Called By: RINDV
Calls: -
GETRAN Subroutine GETRAN looks up an array of pseudo-random numbers seeded by the individuals index number. Called By: MAIN
Calls: -
HAWACC Subroutine HAWACC accumulates population counts, incomes, and health care expenditures for reporting in Tables A, B, C and D. Called By: MAIN
Calls: -
HAWCC Subroutine HAWCC calculates credited and non-credited contribution amounts for the credited contribution universal scenario. Called By: MAIN
Calls: WEIGHT
HAWFIL Subroutine HAWFIL constructs a replacement person from the current record. Called By: RINDV
Calls: -
HAWTAB Subroutine HAWTAB creates totals and prints out Tables A, B, C and D. Called By: MAIN
Calls: WEIGHT
HAWYES Subroutine HAWYES sets flags which are used to determine whether or not a replacement person is to be constructed from the current record. Called By: RINDV
Calls: -
IDIG Integer function IDIG checks to see if a character is a valid numeric. It is used in the parsing of the input parameter file. Called By: ENTRY
Calls: -
INGRID Subroutine INGRID constructs part of the data grid used to report the annual non-institutionalized costs. Called By: YRCOST
Calls: -
INSURE Subroutine INSURE determines the insurance status of the individual/spouse. If a person does not have insurance, the routine determines if they are eligible to buy, looks up the appropriate premium, checks for reduced premiums and tax credits, looks up the probability of buying insurance based on asset level, worker status, and percent of income of premium, adjusts the probability by any underwriting function or poor elderly assumptions, then compares this probability to a random number to determine whether insurance is purchased. After purchase, the routine defines benefits for every year from the purchase year to 2025. If a person already has insurance, the routine will determine whether they keep it by checking the current premium against the defined lapse probabilities. Called By: MAIN
Calls: -
ITABON Integer function ITABON checks whether or not to print out a given table (depends on input parameters). Called By: Many tabling
Calls: -
ITEM Subroutine ITEM looks up itemized deductions in the calculation of federal tax liability. Called By: TAXCLC
Calls: -
MKGRD2 Subroutine MKGRD2 completes the construction of the data grid used to report the annual non-institutionalized costs. Called By: YRCOST
Calls: -
MKGRID Subroutine MKGRID constructs part of the data grid used to report the annual nursing home costs, including distributing the length of stay over the required number of months, and assigning days covered by Medicare to each month. Called By: YRCOST
Calls: -
MMCOS2 Subroutine MMCOS2 calculates the monthly cost of a non-institutionalized visit. The routine sets the monthly cost and then determines how that cost is divided between public policy payments, long term care insurance, Medicare, cash, assets, other payor and Medicaid. The routine is called once for every month a person is receiving non-institutionalized services. Called By: CCGRID
Calls: -
MMCOST Subroutine MMCOST calculates the monthly cost of a nursing home stay. The routine sets the monthly costs, and then determines how that cost is divided between public policy payments, long term care insurance, Medicare, cash, assets, and Medicaid. The routine is called once for every month a person is in a nursing home. Called By: CCGRID
Calls: CATAVL
MOVR Subroutine MOVR moves nursing home data into position before processing. Called By: MAIN
Calls: -
MOVRNI Subroutine MOVRNI moves non-institutional data into position before processing. Called By: MAIN
Calls: -
NEWTAB Subroutine NEWTAB prints out Tables 21, 22, and 23. Called By: TABLEB
Calls: PERTAB
NISPRB Subroutine NISPRB determines whether or not an individual/spouse uses formal or informal non-institutionalized services. The probability of use is based on age, marital status, family income, disability status and sex of the person. The routine defines what type of non-institutionalized services are received, how long (days) they are received for, type of payments used for financing the visits, and number of visits. Called By: MAIN
Calls: -
OOPS Subroutine OOPS initializes, accumulates, and prints Tables 51-53. Called By: MAIN
Calls: -
OUT256 Subroutine OUT256 performs calculations on the arrays containing data for Tables 25 and 26. Called By: MAIN
Calls: -
OUTER Subroutine OUTER dumps out personal data, nursing home data and non-institutional data for an individual. It is used for debugging purposes. Called By: MAINPERACC
Calls: ACCUMBACCUM
PARAIN Subroutine PARAIN reads in the users input parameter file. Each line of data entered is checked for validity and against pre-defined ranges. Logic checks between parameters are also performed. Called By: MAIN
Calls: ENTRYCHKNUMPERCENT
PERACC Subroutine PERACC accumulates data reported in Tables 24 through 29. Called By: ACCUM
Calls: WEIGHTOUTER
PERTAB Subroutine PERTAB prints out tables 24 through 29. Called By: NEWTAB
Calls: GAYOUTAARPT
PERCNT Subroutine PERCNT checks input parameters that are required to add to 100% Called By: PARAIN
Calls: -
PRUDU Subroutine PRUDU prints out Tables 31, 32, 33, and 34. Called By: AARPT
Calls: -
PUBLIC Subroutine PUBLIC determines whether or not an individual is eligible for public programs. The routine checks against age and availability, deductibles, and maximum dollar amounts. Called By: CCGRID
Calls: -
RANSET Subroutine RANSET reads in the random number database and stores it in two arrays which are ready for access from the model. Called By: SETUP
Calls: -
READAS Subroutine READAS reads in the asset and home equity databases as well as the probability database used to assign assets and home equity to individuals. The assets, home equity and probability databases were created from the 1984 SIPP. Called By: SETUP
Calls: -
REAGE Subroutine REAGE initializes the individual and spouse pension income arrays, and then calculates annual pension incomes based on information in the PRISM defined benefit and defined contribution arrays. Called By: RINDV
Calls: -
RINDV Subroutine RINDV reads in the input database file (i.e. the output file from the PRISM model). This routine also initiates the construction of the replacement population set (i.e. synthetic person level data for person aged less then 25 in 1979) if required by the input parameters. Called By: MAIN
Calls: REAGEGETLOSHAWFILHAWYES
RWJXXX Subroutine RWJXXX initializes, accumulates and prints tables RWJ1 and RWJ4. It is used in a special case that adjusted each individuals assigned weight according to age, sex, marital status, nursing home use, disability status, and average social security benefit at age 65. Called By: MAIN
Calls: -
SETD Subroutine SETD initializes double precision arrays to a given value (usually zero). Called By: Many routines
Calls: -
SETUP Subroutine SETUP initializes many of the arrays used in the model calculations, including defining tax rates, inflation factors, and poverty rates. It includes the calls to read in the asset level and probability files, and set-up of the random numbers. Called By: MAIN
Calls: READASRANSETTAXSET
SMI Subroutine SMI calculates additional taxes. Called By: MAIN
Calls: -
SSAC Subroutine SSAC initializes, accumulates and prints the income/assets of the aged tables (Table 45-48) Called By: MAIN
Calls: SETD
SSI Subroutine SSI calculates federal and state monthly SSI income. Called By: MAIN
Calls: CCGRID
SSOUT Subroutine SSOUT converts the model output to a special format required for use with TPL. Called By: MAIN
Calls: -
STCALL Subroutine STCALL calculates an individuals state tax liability given a federal tax liability. Called By: TAXCLC
Calls: -
TAB38 Subroutine TAB38 initializes, accumulates and prints out Tables 38 through 43. Called By: MAIN
Calls: -
TAB44 Subroutine TAB44 initializes, accumulates and prints out Table 44. Called By: MAIN
Calls: -
TABLEB Subroutine TABLEB prints out many of the non-institutionalized tables (i.e. tables 11 through 20). Called By: TABLES
Calls: ZILCH2NEWTAB
TABLES Subroutine TABLES prints out many of the nursing home tables (i.e. Tables 1-10). It initiates call to non-institutionalized table routines. Called By: MAIN
Calls: ZILCH2TABLEB
TAXCLC Subroutine TAXCLC begins the process of looking up the tax liability of the individual and spouse. Called By: MAIN
Calls: CAPGITEMTAXSTCALL
TAXSET Subroutine TAXSET creates the tax tables that are used to calculate federal and state income taxes based on income level. Called By: SETUP
Calls: -
TAX Subroutine TAX uses the tax tables created in TAXSET to look up an individuals tax liability for the current year. Called By: TAXCLC
Calls: -
TBL256 Subroutine TBL256 accumulates data for reporting in Table 25 and 26. Called By: MAIN
Calls: -
TBLPJA Subroutine TBLPJA accumulates data for reporting in the PJE series of tables. Called By: MAIN
Calls: -
TBLPJO Subroutine TBLPJO prints out the PJE series of tables. Called By: MAIN
Calls: -
W2020 Subroutine W2020 adjusts length of stays for persons entering nursing homes in 2019 and 2020. Called By: MAIN
Calls: -
WEIGHT Subroutine WEIGHT multiplies an individuals PRISM weight by adjustment factors to make population totals match 1986 base year data and projected data. Includes division of weight as required by the iteration parameter. Called By: MAINHAWCCPERACCGAYACCAARPAACCUMBACCUMHAWTAB
Calls: -
WRITR Subroutine WRITR writes out personal data, nursing home data and non-institutional data for an individual to the optional output data file. Called By: MAIN
Calls: -
WTBAFF Subroutine WTBAFF dumps out specified common block data. It is not currently called in the model (it is used for debugging purposes only and produces large quantities of output). Called By: -
Calls: -
WTGRD2 Subroutine WTGRD2 dumps out information on each persons non-institutionalized stay each year. It is used only for de-bugging purposes. Called By: YRCOST
Calls: -
WTGRID Subroutine WTGRID dumps out information on each persons nursing home stay each year. It is used only for de-bugging purposes. Called By: YRCOST
Calls: -
YRCOST Subroutine YRCOST begins the process of calculating the annual cost of staying in a nursing home or receiving non-institutionalized services. It is called once per year per individual. Called By: MAIN
Calls: INGRIDMKGRIDMKGRD2WTGRD2WTGRIDCCGRIDACCYR
ZIL256 Subroutine ZIL256 initializes a series of output table accumulation arrays to zero. Called By: MAIN
Calls: -
ZILCH1 Subroutine ZILCH1 initializes a series of output table accumulation arrays to zero. Called By: MAIN
Calls: -
ZILCH2 Subroutine ZILCH2 initializes a series of output table accumulation arrays to zero. Called By: MAIN
Calls: TABLEBTABLES
ZILCH3 Subroutine ZILCH3 initializes a series of output table accumulation arrays to zero. Called By: MAIN
Calls: -

D. Assembler Subroutines

In addition to the FORTRAN subroutines described above, the model also makes extensive use of three assembler language subroutines described in Table 2. IBM and VAX versions of these routines currently exist.

TABLE 2. Assembler Subroutine Descriptions
Routine Description Calls:
RDCH77 This routine performs a very fast, unformatted read. This routine is invoked with: CALL RDCH77 (I,A,LEN,*900), where I is the logical unit number to which the data set to be read is attached, A is an array with sufficient dimensions to hold a record of data, LEN is the length of the record read by RDCH77 (i.e. the subroutine returns this value), and 900 is the FORTRAN statement number that is executed after an end-of-file return code is received. Called By: RINDV
Calls: -
RJS201 This routine performs a byte copy operation on the specified arrays. This routine is invoked as follows: CALL RJS201 (NB,A1,NS1,A2,NS2), where NB is the number of bytes to be copied, A1 is the array from which the bytes are to be copied, NS1 is the starting byte for the copy operation, A2 is the array to which the bytes are copied, and NS2 determines the position in A2 to which to bytes are copied. Called By: MOVRMOVRNIWRITRW2020GETRAN
Calls: -
SETX This routine initializes an array to a specified value. The call for this routine is: CALL SETX(A,N,V), where A is the name of the array to be initialized, N is the number of words to be initialized, and V is the value to which the array is to be initialized. Note that A and V can be either real or integer. Called By: MAINRINDVSETUPYRCOSTCCGRIDFIXPFIXSFIXNITAXSETREAGEPARAINENTRYACCUMBACCUMPERACCWEIGHTAARPARWJXXX
Calls: -

II. INPUT DATA SETS

Table 3 lists the input data sets required to run the model.

TABLE 3. Model Input Data Sets
Dataset Name UnitNumber Description Size(kBytes)
NATADJ.DAT(2) 3 This data set is used to calibrate model weights to in order to approximate U.S. population aggregates. It is used only when replacement population is created. 13
NIHPROB4.PRN(1) 4 These probability factors are used to calculate nursing home induced demand. Factors are determined by age, marital status, disability status and prior nursing home use. 14
TAXR.DAT(1) 8 This is the table of tax rates by income bracket and filing status. 18
FAMLIFE.DATA(1) (generally on tape or cartridge) 9 This is the input data file containing approximately 44,000 person records. It is the output file from the PRISM run. 156,640
FAMSUB.DATA(1) 9 This is the input data file containing the first 500 person records. It is used for testing purposes. 1,780
RANDOM.NUM(1) 11 This is the random number database used to make all 'random' decisions in the model. 426
LTC2.CON(1) 12 This is the job control file, used to control user-variable aspects of the simulation. See Section 6 for more details 1
DISLIFE.NEW(2) 17 These are purchase probability tables. Probabilities are presented by age, premium to income ratio, and disabled/non-disabled. 8
DB.NEW(2) 40 These are death benefit tables by issue age, attained age and 12 options. 68
RPU.NEW(2) 41 These are reduced paid-up options tables by issue age, duration and indexing. 9
PRE.NEW(2) 42 These are monthly premium rates by option, issue age and employment status. 9
LAPSE.NEW(2) 43 These are pension lapse rates by policy year, age group, and type of pension. 8
BASE.PRB(1) 67 This is the parameter file in which the user can define insurance, public policy, deductibles, and many other options. If altered, it should be saved under a different name. 84
ASSET1A.DAT(1) 80 This is the first of three asset databases. Assets are stored by age, marital status, and pension status, and are assigned by income level. These asset tables were created from the 1984 Survey of Income and Program Participation. This file contains assets for age group 65-67. 85
ASSET2A.DAT(1) 81 This is the asset database for age group 68-74. 85
ASSET3A.DAT(1) 82 This is the asset database for age group 75+. 85
HOME1A.DAT(1) 83 This is the first of three home equity databases. Data are stored in the same format as asset database above. These tables were created from the 1984 SIPP. This file contains home equities for the 65-67 age group. 85
HOME2A.DAT(1) 84 This is the home equity database for age group 68-74. 85
HOME3A.DAT(1) 85 This is the home equity database for age group 75+. 85
PROB1A.DAT(1) 86 This is the first of three probability databases. These probability tables are stored by age, marital status, pension status and income level. These tables are used to assign the financial and home equity assets described above. This file contains probabilities for age group 65-67. 85
PROB2A.DAT(1) 87 This is the probability database for age group 68-74. 85
PROB3A.DAT(1) 88 This is the probability database for age group 75+. 85
(1) = Required dataset(2) = Optional dataset (depends on input parameters)

III. OUTPUT DATAFILES

Table 4 contains a listing and description of each output datafile the model creates.

TABLE 4. Summary of Model Output Files(1)
Dataset Name UnitNumber Description Size(kBytes)
BASE.PRT 6 This file contains various information about the run including dumps of setup variables. 292
BASE.OUT 10 This is an optional output datafile which contains annual information for each person in the database. 60,000
BASE.TAB 20 This file contains the output tables from the run. 2,550
BASE.DMP 21 This is a dump of annual person, nursing home, and non-institutional data for the first 100 persons who receive services. 292
(1) = Dataset names used here are examples only.

IV. RUNNING THE MODEL

A. Preparing to Run the Model

The Brookings/ICF Long Term Financing Model is composed of 80 subroutines. In order to run the model, each subroutine must be compiled and linked into an executable module. This can either be done by 1) compiling each subroutine separately and then link-editing all the routines together, 2) or by combining all the subroutines into one file and compiling and linking that one file.

All the input datasets indicated as required [(1) = required dataset] in Table 2 must be available to the model when it begins running. In addition, any of the optional datasets called for in the parameter file must also be available. The output files from the model require approximately three megabytes of disk space, excluding the optional output datafile (see unit number 10 in Table 4). Approximately six megabytes of disk space are required to store both the input data bases and the output table file.

Finally, one tape drive is needed to read the input data base. See Attachment Six for a discussion of the cost of running the model at the National Institute on Health Computer Center.

B. Running the Model

Link-editing and executing this model requires approximately five megabytes of memory. Required run-time of the model depends on the type of computer being used. For example, cpu time on a VAX 8650 is approximately 95 minutes, and on an IBM 3090E cpu time is approximately 15 minutes. If the replacement population option is specified, these run times are approximately doubled.

Table 5 shows an example JCL batch file to execute the model on an IBM 3090E. Table 6 shows the equivalent DCL code to run the model on a VAX system.

TABLE 5. Example JCL for Model Execution
//IIILTC JOB (AAAA,406,C,40000,2000),YOURNAME/*KEYWORD=ZZZ/*ROUTE PRINT HOLD/*NOTIFY III/*ROUTE XEQ TAPE/*ROUTE XEQ VECTOR/*MESSAGE 012345,R;/*DISCOUNT//S1 EXEC FORVCOMP, CORE=4500K,// OPTIONS='OPT(3),VECTOR,NOMAP,NOXREF,NOSOURCE'//COMP.SYSIN DD DSN=AAAAIII.LTC2N.FORT,DISP=SHR,//UNIT=FILE,FOL=SER=FILE37//S2 EXEC FORVLKGO//LOAD.SYSLIN DD//DD DSN=AAAAIII.OBJLIB(RDCH77),DISP=SHR,UNIT=FILE,VOL=SER=FILE37//DD DSN=AAAAIII.OBJLIB(RJS201),DISP=SHR,UNIT=FILE,VOL=SER=FILE37 //DD DSN=AAAAIII.OBJLIB(SETX),DISP=SHR,UNIT=FILE,VOL=SER=FILE37//GO.FT08F001 DD DSN=AAAAIII.TAXR.DAT,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//GO.FT09F001 DD DSN=AAAAIII.FAMILIFE1.DATA,DISP=(OLD,KEEP),// UNIT=3480,VOL=SER=012345,LABEL=(1,SL,,IN),// DCB=(RECFM=VB,LRECL=30404,BLKSIZE=30408)//GO.FT12F001 DD DSN=AAAAIII.LTC2.CON,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//GO.FT20F001 DD DSN=AAAAIII.BASE.TAB,DISP=(NEW,KEEP),// UNIT=FILE,VOL=SER=FILE37,SPACE=(TRK,(80,2),RLSE),// DCB=(LRECL=133,RECFM=FB,BLKSIZE=13300)//GO.FT21F001 DD DSN=AAAAIII.BASE.DMP,DISP=(NEW,KEEP),// UNIT=FILE,VOL=SER=FILE37,SPACE=(TRK,(80,2),RLSE),// DCB=(LRECL=80,RECFM=FB,BLKSIZE=8000)//GO.FT67F001 DD DSN=AAAAIII.BASE.PRB,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//GO.FT80F001 DD DSN=AAAAIII.ASSET1A.DAT,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT81F001 DD DSN=AAAAIII.ASSET2A.DAT,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT82F001 DD DSN=AAAAIII.ASSET3A.DAT,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT83F001 DD DSN=AAAAIII.HOME1A.DAT,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT84F001 DD DSN=AAAAIII.HOME2A.DAT,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT85F001 DD DSN=AAAAIII.HOME3A.DAT,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT86F001 DD DSN=AAAAIII.PROB1A.DAT,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT87F001 DD DSN=AAAAIII.PROB2A.DAT,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT88F001 DD DSN=AAAAIII.PROB3A.DAT,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT11F001 DD DSN=AAAAIII.RANDOM.NUM,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT03F001 DD DSN=AAAAIII.NATADJ.DAT,DIS=SHR,// UNIT=FILE,VOL=SER-FILE37//GO.FT04F001 DD DSN=AAAAIII.NIHPROB4.PRN,DISP=SHR,// UNIT=FILE,VOL=SER-FILE37
TABLE 6. Example DCL for Model Execution
$PMOUNT PAC1$@LTCLINK$PURGE$ON ERROR THEN GOTO FIXUP$ON CONTROL_C THEN GOTO FIXUP$ASSIGN NATADJ.DAT FOR003$ASSIGN NIHPROB4.PRN FOR004$ASSIGN BASE.PRT FOR006$ASSIGN SYS$OUTPUT FOR007$ASSIGN TAXR.DAT FOR008$ASSIGN PAC1:BLOCK1.DAT FOR009$!ASSIGN BASE.OUT FOR010$ASSIGN LTC2.CON FOR012$ASSIGN BASE.TAB FOR020$ASSIGN BASE.DMP FOR021$ASSIGN BASE.PRB FOR067$ASSIGN ASSET1A.DAT FOR080$ASSIGN ASSET2A.DAT FOR081$ASSIGN ASSET3A.DAT FOR082$ASSIGN HOME1A.DAT FOR083$ASSIGN HOME2A.DAT FOR084$ASSIGN HOME3A.DAT FOR085$ASSIGN PROB1A.DAT FOR086$ASSIGN PROB2A.DAT FOR087$ASSIGN PROB3A.DAT FOR088$ASSIGN RANDOM.NUM FOR011$RUN LTC2$FIXUP:$ON ERROR THEN GOTO END$DEASSIGN ALL$END:$PURGE$PRINT BASE.TAB$PRINT BASE.DMP

V. JOB CONTROL FILE

The job control file is a small ASCII file that contains important parameters used to control the simulation. Table 7 shows an example job control file, and each of the 11 parameters in the file are described below.

TABLE 7. Sample Job Control File
1   IPART: SAMPLE RUN (1 = RUN WHOLE DBASE, 4=RUN 25%)
0   IWRITE: WRITE OUT THE OUTPUT FILE (0=NO, 1=YES)
0   ICASE: SPECIAL CASE FLAG (0 = NO SPECIAL CASE)
0   IHMTOS: COVERT HOME EQUITY (0=NO, 1 = YES)
1.0   SSILEV: SSI LEVEL MULTIPLIER FOR TRANSFER OF INCOME
2   IBASE: BASE CASE (0=PRE 1989, 1 = 1989, 2=POST 1989)
0   IPDMP: RECORD DUMP (0=NO, 1= DUMP 150 RECORDS)
999999   IMAX: NUMBER OF RECORDS TO PROCESS
0   LVLTST: LEVEL OF TESTING (LEAVE AT 0)
0   IHAW: <25 REPLACE POP (0=NO, 1 =HAWAII, 2=NATIONAL)
2   IIT: NUMBER OF ITERATIONS (2 = STANDARD RUN)
IPART:   This parameter controls what proportion of the database will actually be run through the simulation. Entering a 1 indicates that the entire database will be used. (For example, entering a 2 will instruct the program to perform the simulation on every second record, and multiply each persons weight by 2. Entering a 3 will instruct the program to perform the simulation on every third record, and multiply each persons weight by 3, etc.). This parameter is normally set equal to 1.
IWRITE:   This parameter is an on/off switch for the output datafile attached to unit number 10 (see Table 4). Entering 0 will prevent file creation, 1 will enable it. This parameter is normally set to 0.
ICASE:   This parameter is used for programs that can not be simulated using the available input parameters and requires "hard-coding" into the model. Currently, cases 1 through 18 are defined in the model and should not be re-used. For simulations defined using parameters only, this parameter should be set to 0.
IHMTOS:   This parameter was included for a special case scenario that involved conversion of home equity to financial assets. Should be set to 0.
SSILEV:   This parameter is a multiplier that is applied to the SSI level for transfer of income from nursing home residents to their spouses. (For example, 1.0 means transfer income at SSI income level, while 2.0 means transfer at 2.0 times the SSI income level). This parameter only applies to simulations using the pre-1989 (catastrophic coverage act) scenario, and should therefore be set to 1.0 when the parameter [BASE is greater than 0 (see below).
IBASE:   This parameter determines how the model deals with spousal impoverishment scenarios. Entering 0 will cause the model to use the pre-1989 conditions for the entire simulation period. Entering a 1 will cause the model to use the spousal impoverishment conditions in the 1989 Catastrophic Coverage Act for years 1989 through 2020. Entering a 2 will cause the model to use the Catastrophic Coverage Act for 1989, and then to use only the non-repealed portions of the Act for years 1990 through 2020. All future simulations should be run with this parameter set to 2.
IPDMP:   This parameter is used to dump out 150 records into the file attached to unit 21 (see Table 4). These records are used for debugging purposes only, and therefore this parameter should be set to 0 for all runs.
IMAX:   This parameter sets the maximum number of input records to process through the simulation. To process the entire database, enter a large number (e.g. 999999). IMAX should be set to a smaller number for test cases.
LVLTST:   This parameter is used for model debugging. Setting it to any number above 0 will cause large amount of intermediate data to be dumped to files attached to unit 6 and 21. LVILTST should be set to 0.
IHAW:   This parameter determines whether or not a synthetic replacement population is generated for persons under the age of 25 in 1979. These persons are not included in the original database, as they would not reach age 65 before the end of the simulation. However, some insurance scenarios may require this population to be available for premium payment. Entering 0 will cause no population replacement. Entering 1 will invoke population replacement and a reweighting of the database to simulation Hawaii's population and demographics. Entering a 2 will invoke population replacement at a national level.
IIT:   This parameter determines the number of iterations of the model (i.e. how many times each input record is passed through the simulation). During each iteration, the input record is processed with a different set of "random" numbers, effectively increasing the size of the sample population and reducing problems with small cell sizes in some of the output tables, but at the expense of increase CPU requirements for running the model. A standard run uses 2 iterations on each record.

VI. UTILITY PROGRAMS

Two utility programs, CHEKFL and TABLE2, are available to assist the user in the parameter setup and analysis of the model output. These utilities are described below.

A. CHEKFL

The CHEKFL program is a utility that allows the user to compare two input parameter files and report on any differences between them. The input parameter file is a fairly large file and when running multiple scenarios it sometimes may become difficult to check that only the desired parameters have been changed between two runs. CHEKFL can be used to compare the parameters for a new simulation against the base case or against a previous simulation scenario.

In addition, CHEKFL performs all logic, total, and data range checks on the input parameters that are required for a full model run. Sample JCL and DCL files to setup and run CHEKFL are shown in Table 8.

TABLE 8. Sample Command Files for CHEKFL
Sample JCL Sample DCL
//PR4LTC JOB (VWA1,406,A),YOURNAME/*KEYWORD=ZZZ/*ROUTE PRINT HOLD/*NOTIFY III//S1 EXECFORVCOMP,OPTIONS='NOMAP,NOXREF,NOSOURCE'//COMP.SYSIN DD DSN=AAAAIII.CHEKFL.FOR,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//S2 EXEC FORVLKGO//GO.FT04F001 DD DSN=AAAAIII.NIHPROB4.PRN,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//GO.FT67F001 DD DSN=AAAAIII.BASE1.PRB,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//GO.FT68F001 DD DSN=AAASZ4.BASE2.PRB,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//GO.FT20F001 DD DSN=AAAAIII.OUTPUTA.DAT,DISP=(NEW,KEEP),// UNIT=FILE,VOL=SER=FILE37,SPACE=(TRK,(80,2),RLSE),// DCB=(LRECL=133,RECFM=FB,BLKSIZE=13300)//GO.FT21F001 DD DSN=AAAAIII.OUTPUT2.DAT,DISP=(NEW,KEEP),// UNIT=FILE,VOL=SER=FILE37,SPACE=(TRK,(80,2),RLSE),// DCB=(LRECL=80,RECFM=FB,BLKSIZE=8000) $ ASSIGN BASE1.PRB    FOR067$ ASSIGN BASE2.PRB    FOR068$ ASSIGN OUTPUT1.DAT  FOR020$ ASSIGN OUTPUT2.DAT  FOR021$ ASSIGN NIHPROB4.PRN FOR004$ RUN CHEKFL$ PUR OUTPUT*.DAT

B. TABLE2

The TABLE2 utility program allows the user to define and extract a set of tables from the large table output file. The extracted file can be printed on the host computer, or download to a PC and printed locally. There is also an option to create a file that can be imported directly into a PC spreadsheet program.

A sample input control file for TABLE2 is shown in Table 9. The first line determines whether or not the optional Lotus readable output file is created (0=no, 1 =yes). The next lines are a list of the tables which are to be extracted (a maximum of 10 lines). The program reads in these lines and searches the table file for exact character string matches, and then copies the following records until the end of the current page is reached.

For example, entering TABLE 1 in the input file would cause the output of tables 1, 10, 11, 12, 13, ...,19. If you wanted table 1 only, you would enter TABLE 1# (the # identifier only works for tables 1-9). Table 10 shows example JCL and DCL files for compiling, linking, and executing the program.

TABLE 9. Input Parameters for the TABLE2 Utility
0TABLE 1#TABLE 2#TABLE 11TABLE 12TABLE 41.1.3TABLE PJE4
TABLE 10. Sample JCL and DCL for TABLE2
JCL DCL
//PR4LTC JOB (VWA1,406,A),YOURNAME/*KEYWORD=ZZZ/*ROUTE PRINT HOLD/*NOTIFY III//S1 EXEC FORVCOMP,OPTIONS='NOMAP,NOXREF,NOSOURCE'//COMP.SYSIN DD DSN=AAAAIII.TABLE2.FOR,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//S2 EXEC FORVLKGO//GO.FT08F001 DD DSN=AAAAIII.BASE.TAB,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//GO.FT11F001 DD DSN=AAAAIII.TABLE2.INP,DISP=SHR,// UNIT=FILE,VOL=SER=FILE37//GO.FT09F001 DD DSN=AAAAIII.BASE.TB1,DISP=(NEW,KEEP),// UNIT=FILE,VOL=SER=FILE37,SPACE=(TRK,(80,2),RLSE),// DCB=(LRECL=133,RECFM=FB,BLKSIZE=13300)//GO.FT10F001 DD DSN=AAAAIII.BASE.WK0,DISP=(NEW,KEEP),// UNIT=FILE,VOL=SER=FILE37,SPACE=(TRK,(80,2),RLSE),// DCB=(LRECL=80,RECFM=FB,BLKSIZE=8000) $LINK TABLE2,IOUTIL/LIB$ASSIGN BASE.TAB FOR008$ASSIGN BASE.TB1 FOR009$ASSIGN BASE.WK0 FOR010$ASSIGN TABLE2.INP FOR011$ASSIGN SYS$OUTPUT FOR007$RUN TABLE2$ DEASSIGN FOR007$ DEASSIGN FOR008$ DEASSIGN FOR009$ DEASSIGN FOR010$ DEASSIGN FOR011

VII. GENERATING A PERSON LEVEL FILE FOR TABULATIONS

The output dataset BASE.OUT may be converted into an ASCII/EBCIDIC person level file which can be used to produce additional tabulations. BASEOUT is written by the subroutine WRITR and is only produced when specified in the Job Control File through the parameter IWRITE. LTCCONV.FOR is a FORTRAN program that transforms arrays from BASE.OUT into a single record for every year after a person turns age 65 with demographic, economic, and long term care use information. The record layout for the converted database is shown in Table 11.

TABLE 11. Record Layout for Output Data File
Variable Length Field VariableDefinitions
Demographic Variables
1 1 1 RACE1 = White2 = Nonwhite
2 1 2 SEX1 = Male2 = Female
3 3 3-5 AGEDTHAge in last year alive (65: 108)
4 10 6-15 WEIGHTSample weight to be used in all tabulations
5 3 16-18 AGEAge of individual in simulation year (65: 108)
6 1 19 MARITMarital Status1 = Married2 = Unmarried
7 1 20 DISABDisability status in year1 = Disabled2 = Not Disabled
8 4 21-24 YEARYear of simulation (1986: 2020)
Family Income Variables (in 1989 $s)
9 5 25-29 POVTotal family income as a percent of the poverty threshold in year
10 10 30-39 FEARNFamily earnings income in year
11 10 40-49 FPENFamily pension income in year
12 10 50-59 FIRAFamily IRA income in year
13 10 60-69 FSOCFamily social security income in year
14 10 70-79 FASSINCFamily income from financial assets in year
15 10 80-89 FSSIFamily income from SSI and state supplements in year
Individual Income Variables (in 1989 $s)
16 10 90-99 IEARNIndividual earnings income in year
17 10 100-109 IPENIndividual pension income in year
18 10 110-119 IIRAIndividual IRA income in year
19 10 120-129 ISOCIndividual social security income in year
20 10 130-139 IASSETIndividual income from assets in year
21 10 140-149 ISSIIndividual income from SSI and state supplements in year
Family Assets Variables (in 1989 $s)*** Family assets at end of year ***
22 10 150-159 FASSETValue of family financial assets in year (non-housing assets)
23 10 160-169 HASSETValue of family equity in home0 = Non-homeowner> = Homeowner
Utilization of Institutional Care
24 3 170-172 IDAYSDays of institutional care in year
25 1 173 ISTART0 = Not in institution1 = Admitted to institution in year2 = Discharged during year3 = Both admitted and discharged during year4 = Other institutionalized
26 1 174 ITERMNursing home visit will terminate as:0 = Not in institution1 = Death termination2 = Live termination
27 4 175-178 TENUREDays in institution from date of admissions through end of year
28 4 179-182 LENGTHTotal length of stay: i.e., days in institution from date admitted through day of discharge
Insitutional Expenses During Year (in 1989 ($s)*** Includes institutional expenses from start of year through end of year ***
29 5 183-87 IMCRYRAmount paid by Medicare in year
30 5 188-192 IMCDYRAmount paid by Medicaid in year
31 5 193-197 IOPCYRAmount paid out-of-pocket from cash resources in year
32 5 198-202 IOPAYRAmount paid out-of-pocket from asset resources in year
33 5 203-207 ILTCYRAmount paid by long-term care insurance in year (this will always be zero in the base case)
Institutional Expenses Through End of Year (in 1989 $s)*** Includes institutional expenses from date of admission through end of year ***
34 6 208-213 IMCRTDAmount paid by Medicare through end of year
35 6 214-219 IMCDTDAmount paid by Medicaid through end of year
36 6 220-225 IOPCTDAmount paid out-of-pocket from cash resources through end of year
37 6 226-231 IOPATDAmount paid out-of-pocket from assets through end of year
38 6 232-237 ILTCTDAmount paid by long-term care insurance through end of year (this will always be zero in the base case)
Institutional Expenses from Duration of Visit (in 1989 $s)**Includes expenses for instituional care from date of admission through date of discharge**
39 6 238-243 IMCRAmount paid by Medicare for entire visit
40 6 244-249 IMCDAmount paid by Medicaid for entire visit
41 6 250-255 IOPCAmount paid out-of-pocket from cash resources for entire visit
42 6 256-261 IOPAAmount paid out-of-pocket from asset resources for entire visit
43 6 262-267 ILTCAmount paid by long-term care insurance for entire visit (this will always be zero in the base case)
Utilization of Non-Institutional Care
44 3 268-270 FDAYSDays of formal care in year
45 3 271-273 INDAYSDays of informal care in year
46 3 274-276 FVISITSNumber of formal visits in year
47 3 277-279 INVISITSNumber of informal visits in year
48 1 280 NSTART0 = Not receiving non-institutional care1 = Started receiving care in year2 = Care terminates in year3 = Care both starts and terminates during year4 = Other recipients of non-institutional care
49 1 281 NTERMNon-institutional care will terminate as:0 = Not receiving non-institutional services1 = Death termination2 = Live termination3 = Enters nursing home
50 4 282-285 FTENDays receiving formal non-institutional care from date care starts through end of year
51 4 286-289 INTENDays receiving informal non-institutional care from date care starts through end of year
52 5 290-294 FVTENFormal care visits from date care starts through end of year
53 5 295-299 INVTENInformal care visits from date care starts through end of year
54 5 300-304 FLENDuration of formal care: i.e., days receiving formal care from date care starts through date care terminates
55 5 305-309 INLENDuration of informal care: i.e., days receiving informal care from date care starts through date care terminates
56 5 310-314 FVTOTTotal formal care visits from the date formal care starts through the date care terminates
57 5 315-319 INVTOTTotal informal care visits from the date informal care starts through the date care terminates
Non-institutional Expenses During Year (in 1989 $s)*** Includes non-institutional expenses from start of year through end of year ***
58 5 320-324 NMCRYRAmount paid by Medicare in year
59 5 325-329 NMCDYRAmount paid by Medicaid in year
60 5 330-33 NOPCYRAmount paid out-of-pocket from cash resources in year
61 5 335-339 NOPAYRAmount paid out-of-pocket from asset resources in year
62 5 340-344 NLTCYRAmount paid by long-term care insurance in year (zero in base case)
63 5 345-349 NOTHYRAmount paid by other sources in year
Non-Institutional Expenses Through End of Year (in 1989 $s)*** Includes non-institutional expenses from the date care started through the end of year ***
64 6 350-355 NMCRTDAmount paid by Medicare through end of year
65 6 356-361 NMCDTDAmount paid by Medicaid through end of year
66 6 362-367 NOPCTDAmount paid out-of-pocket from cash resources through end of year
67 6 368-373 NOPATDAmount paid out-of-pocket from asset resources through end of year
68 6 374-379 NLTCTDAmount paid by long-term care insurance through end of year (zero in base case)
69 6 380-385 NOTHTDAmount paid by other sources through end of year
Non-institutional Expenses for Duration of Visit (in 1989 $s)*** Includes non-institutional expenses from the date care started through the date care terminated ***
70 6 386-391 NMCRAmount paid by Medicare for entire visit
71 6 392-397 NMCDAmount paid by Medicaid for entire visit
72 6 398-403 NOPCAmount paid out-of-pocket from cash resources for entire visit
73 6 404-409 NOPAAmount paid out-of-pocket from asset resources for entire visit
74 6 410-415 NLTCAmount paid by long-term care insurance for entire visit (zero in base case)
75 6 416-421 NOTHAmount paid by other sources for entire visit
Family Tax Payments in Year (in 1989 $s)
76 10 422-431 FEDTAXFederal income tax payments
77 10 432-441 STATETAXState income tax payments
78 10 442-451 LTCAMTAmount of LTC funding specific
Additional Income and Asset Variables (in 1989 $s)*** Values at entry to LTC ***
79 10 452-461 BNHINCFamily income at entry to nursing home
80 10 462-471 BNHASTFamily financial assets at entry to nursing home
81 10 472-481 BHHASTFamily income at entry to home health
82 10 482-491 BHHASTFamily financial assets at entry to home health
83 3 492-494 SPAGEAge of spouse

Brookings/ICF Long Term Care Financing Model: Programmer's/Operator's Manual

 

TABLE OF CONTENTS

ATTACHMENT 1: DISLIFE.NEW -- Purchase probabilities

TABLE 1.1. Purchase Probabilities: Disability Based Probability of Purchase

TABLE 1.2. Purchase Probabilities: Life Based Purchase Probabilities

ATTACHMENT 2: DB.NEW -- Death benefits

TABLE 2.1. Death Benefits: Individual Policies, 365-day Lifetime Maximum, and No Indexing

TABLE 2.2. Death Benefits: Individual Policies, 730-Day Lifetime Maximum, and No Indexing

TABLE 2.3. Death Benefits: Individual Policies, 1,825-Day Lifetime Maximum, and No Indexing

TABLE 2.4. Death Benefits: Individual Policies, 365-Day Lifetime Maximum, and 5%/Year Indexing

TABLE 2.5. Death Benefits: Individual Policies, 730-Day Lifetime Maximum, and 5%/Year Indexing

TABLE 2.6. Death Benefits: Individual Policies, 1,825-Day Lifetime Maximum, and 5%/Year Indexing

TABLE 2.7. Death Benefits: Employee Policies, 365-Day Lifetime Maximum, and No Indexing

TABLE 2.8. Death Benefits: Employee Policies, 730-Day Lifetime Maximum, and No Indexing

TABLE 2.9. Death Benefits: Employee Policies, 1,825-Day Lifetime Maximum, and No Indexing

TABLE 2.10. Death Benefits: Employee Policies, 365-Day Lifetime Maximum, and 5%/Year Indexing

TABLE 2.11. Death Benefits: Employee Policies, 730-Day Lifetime Maximum, and 5%/Year Indexing

TABLE 2.12. Death Benefits: Employee Policies, 1,825-Day Lifetime Maximum, and 5%/Year Indexing

ATTACHMENT 3: RPU.NEW -- Reduced paid up options

TABLE 3.A. % of Benefits Payable Under a Reduced Paid-Up Option by Duration: No Indexing

TABLE 3.B. % of Benefits Payable Under a Reduced Paid-Up Option by Duration: Indexing

ATTACHMENT 4: PRE.NEW -- Monthly premium rates

TABLE 1.A. Monthly Premium Rates: Individual Policies

TABLE 1.B. Monthly Premium Rates: Employee Policies

TABLE 1.C. Monthly Premium Rates: Retired Policies

TABLE 4.A. Monthly Premium Rates: Generic Policies

ATTACHMENT 5: LAPSE.NEW -- Pension lapse rates

Graduated Select Lapse Rates: Term Life Insurance

Graduated Select Lapse Rates: Pension Life Insurance

Graduated Select Lapse Rates: High Early-Cash-Value Insurance

ATTACHMENT 6: Memo on Computer Budget for NIH Account

 

ATTACHMENT 1. DISLIFE.NEW

Purchase probability tables. Probabilities by age and premium to income ratio, for disability based products and life insurance based products.

TABLE 1.1. Purchase Probabilities: Disability Based Probability of Purchase
Premium to Income Ratio Age Bracket
25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-80
0 to .01 0.00288 0.00627 0.01141 0.01809 0.02676 0.03838 0.05374 0.07220 0.09766 0.13143 0.18268
.01 to .02 0.00067 0.00179 0.00500 0.01108 0.01838 0.02654 0.04032 0.04954 0.07021 0.10230 0.13607
.02 to .03 0.00019 0.00064 0.00171 0.00173 0.00488 0.01117 0.02573 0.04238 0.03480 0.07336 0.09830
.03 to .04 0.00002 0.00001 0.00025 0.00057 0.00377 0.00287 0.00417 0.00691 0.01577 0.02575 0.02950
.04 to .05 0.00001 0.00001 0.00000 0.00003 0.00000 0.00038 0.00136 0.00103 0.00243 0.00855 0.00642
.05 to .06 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00012 0.00000 0.00016 0.00000 0.00000
.06 to .07 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00012 0.00000 0.00016 0.00000 0.00000
.07 to .08 0.00000 0.00000 0.00000 0.00000 0.00002 0.00000 0.00000 0.00000 0.00001 0.00011 0.00000
.08 to .09 0.00000 0.00000 0.00000 0.00000 0.00009 0.00000 0.00000 0.00000 0.00000 0.00033 0.00026
.09 to .10 0.00000 0.00000 0.00000 0.00001 0.00002 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000
.10 to .11 0.00000 0.00000 0.00001 0.00001 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000
.11 to .12 0.00000 0.00000 0.00000 0.00003 0.00010 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000
.12 to .13 0.00000 0.00000 0.00000 0.00002 0.00029 0.00007 0.00000 0.00000 0.00000 0.00000 0.00000
.13 to .14 0.00000 0.00000 0.00000 0.00001 0.00022 0.00024 0.00000 0.00000 0.00000 0.00000 0.00000
.14 to .15 0.00000 0.00000 0.00000 0.00000 0.00004 0.00014 0.00002 0.00000 0.00000 0.00000 0.00002
.15 to .16 0.00000 0.00000 0.00000 0.00000 0.00004 0.00014 0.00002 0.00000 0.00000 0.00000 0.00002
.16 to .17 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00002 0.00003 0.00005 0.00001 0.00000
.17 to .18 0.00001 0.00000 0.00000 0.00000 0.00000 0.00000 0.00002 0.00005 0.00002 0.00000 0.00000
.18 to .19 0.00001 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00010 0.00001 0.00000 0.00000
.19 to .20 0.00002 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00012 0.00000 0.00000 0.00000
.20 to .21 0.00002 0.00001 0.00000 0.00000 0.00000 0.00000 0.00000 0.00011 0.00002 0.00000 0.00000
.21 to .22 0.00003 0.00002 0.00000 0.00000 0.00000 0.00000 0.00000 0.00005 0.00004 0.00000 0.00000
.22 to .23 0.00002 0.00002 0.00000 0.00000 0.00000 0.00000 0.00000 0.00001 0.00002 0.00000 0.00000
.23 to .24 0.00002 0.00002 0.00000 0.00000 0.00000 0.00000 0.00000 0.00001 0.00002 0.00000 0.00000
.24 to .25 0.00002 0.00002 0.00001 0.00000 0.00000 0.00000 0.00000 0.00000 0.00003 0.00004 0.00000
.25 to .26 0.00002 0.00002 0.00001 0.00000 0.00000 0.00000 0.00000 0.00000 0.00005 0.00043 0.00050
.26 to .27 0.00001 0.00002 0.00001 0.00000 0.00000 0.00000 0.00000 0.00000 0.00005 0.000.72 0.00129
.27 to .28 0.00001 0.00002 0.00001 0.00001 0.00000 0.00000 0.00000 0.00000 0.00005 0.00090 0.00189
.28 to .29 0.00000 0.00001 0.00001 0.00001 0.00000 0.00000 0.00000 0.00000 0.00005 0.00103 0.00230
.29 or more 0.00001 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00007 0.00138 0.00326

 

TABLE 1.2. Life Based Purchase Probabilities
Premium to Income Ratio Age Bracket
25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-80
0 to .01 0.00001 0.00014 0.00061 0.00149 0.00259 0.00362 0.00418 0.00393 0.00250 0.00026 0.00000
.01 to .02 0.00002 0.00002 0.00002 0.00004 0.00004 0.00007 0.00007 0.00020 0.00044 0.00015 0.00011
.02 to .03 0.00029 0.00031 0.00027 0.00016 0.00014 0.00006 0.00013 0.00014 0.00023 0.00023 0.00023
.03 to .04 0.00021 0.00074 0.00098 0.00119 0.00060 0.00030 0.00038 0.00087 0.00125 0.00019 0.00025
.04 to .05 0.00009 0.00043 0.00144 0.00181 0.00224 0.00174 0.00251 0.00476 0.00563 0.00160 0.00410
.05 to .06 0.00008 0.00021 0.00160 0.00218 0.00244 0.00145 0.00372 0.00170 0.00164 0.00895 0.01068
.06 to .07 0.00008 0.00021 0.00160 0.00218 0.00244 0.00145 0.00372 0.00170 0.00164 0.00895 0.01068
.07 to .08 0.00011 0.00017 0.00134 0.00195 0.00146 0.00191 0.00496 0.00264 0.00162 0.00435 0.00820
.08 to .09 0.00011 0.00015 0.00086 0.00128 0.00065 0.00201 0.00548 0.00314 0.00222 0.00141 0.00207
.09 to .10 0.00009 0.00012 0.00043 0.00061 0.00037 0.00159 0.00530 0.00321 0.00255 0.00093 0.00099
.10 to .11 0.00007 0.00007 0.00015 0.00024 0.00014 0.00100 0.00452 0.00292 0.00246 0.00068 0.00054
.11 to .12 0.00005 0.00002 0.00001 0.00000 0.00000 0.00055 0.00339 0.00239 0.00207 0.00070 0.00079
.12 to .13 0.00004 0.00001 0.00000 0.00000 0.00000 0.00031 0.00222 0.00176 0.00161 0.00087 0.00129
.13 to .14 0.00004 0.00001 0.00000 0.00000 0.00000 0.00022 0.00130 0.00119 0.00128 0.00107 0.00149
.14 to .15 0.00005 0.00001 0.00000 0.00000 0.00000 0.00011 0.00078 0.00086 0.00108 0.00118 0.00130
.15 to .16 0.00005 0.00001 0.00000 0.00000 0.00000 0.00011 0.00078 0.00086 0.00108 0.00118 0.00130
.16 to .17 0.00005 0.00002 0.00000 0.00000 0.00000 0.00006 0.00056 0.00077 0.00098 0.00119 0.00103
.17 to .18 0.00004 0.00003 0.00001 0.00000 0.00000 0.00006 0.00046 0.00074 0.00096 0.00106 0.00089
.18 to .19 0.00001 0.00007 0.00003 0.00000 0.00000 0.00008 0.00045 0.00073 0.00095 0.00093 0.00099
.19 to .20 0.00000 0.00008 0.00009 0.00001 0.00000 0.00015 0.00050 0.00073 0.00094 0.00093 0.00117
.20 to .21 0.00000 0.00008 0.00014 0.00008 0.00006 0.00026 0.00056 0.00076 0.00095 0.00105 0.00138
.21 to .22 0.00000 0.00006 0.00015 0.00014 0.00015 0.00035 0.00063 0.00080 0.00096 0.00119 0.00159
.22 to .23 0.00000 0.00004 0.00014 0.00018 0.00023 0.00044 0.00067 0.00081 0.00098 0.00131 0.00178
.23 to .24 0.00000 0.00004 0.00014 0.00018 0.00023 0.00044 0.00067 0.00081 0.00098 0.00131 0.00178
.24 to .25 0.00000 0.00002 0.00012 0.00021 0.00028 0.00049 0.00068 0.00080 0.00098 0.00139 0.00192
.25 to .26 0.00000 0.00001 0.00010 0.00022 0.00032 0.00053 0.00067 0.00075 0.00097 0.00144 0.00203
.26 to .27 0.00000 0.00001 0.00009 0.00022 0.00034 0.00053 0.00062 0.00069 0.00094 0.00147 0.00210
.27 to .28 0.00000 0.00001 0.00010 0.00022 0.00035 0.00052 0.00057 0.00063 0.00092 0.00150 0.00216
.28 to .29 0.00000 0.00001 0.00011 0.00023 0.00036 0.00049 0.00050 0.00058 0.00089 0.00151 0.00221
.29 or more 0.00007 0.00009 0.00016 0.00025 0.00036 0.00041 0.00043 0.00052 0.00085 0.00154 0.00235

 

ATTACHMENT 2. DB.NEW

Death benefit tables by issue age, attained age and 12 options.

TABLE 2.1. Death Benefits: Individual Policies, 365-day Lifetime Maximum, and No Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 827 0 0 0 0 0 0 0
26 827 0 0 0 0 0 0 0
27 827 0 0 0 0 0 0 0
28 827 0 0 0 0 0 0 0
29 827 0 0 0 0 0 0 0
30 1,655 0 0 0 0 0 0 0
31 1,655 0 0 0 0 0 0 0
32 1,655 0 0 0 0 0 0 0
33 1,655 0 0 0 0 0 0 0
34 1,655 0 0 0 0 0 0 0
35 2,482 1,019 0 0 0 0 0 0
36 2,482 1,019 0 0 0 0 0 0
37 2,482 1,019 0 0 0 0 0 0
38 2,482 1,019 0 0 0 0 0 0
39 2,482 1,019 0 0 0 0 0 0
40 3,310 2,039 0 0 0 0 0 0
41 3,475 2,243 279 0 0 0 0 0
42 3,641 2,447 558 0 0 0 0 0
43 3,806 2,650 838 0 0 0 0 0
44 3,972 2,854 1,117 0 0 0 0 0
45 4,137 3,058 1,396 0 0 0 0 0
46 4,302 3,262 1,675 0 0 0 0 0
47 4,468 3,466 1,955 0 0 0 0 0
48 4,633 3,670 2,234 0 0 0 0 0
49 4,799 3,874 2,513 0 0 0 0 0
50 4,964 4,078 2,792 0 0 0 0 0
51 5,130 4,281 3,072 426 0 0 0 0
52 5,295 4,485 3,351 852 0 0 0 0
53 5,461 4,689 3,630 1,278 0 0 0 0
54 5,626 4,893 3,909 1,704 0 0 0 0
55 5,792 5,097 4,189 2,131 0 0 0 0
56 5,957 5,301 4,468 2,557 549 0 0 0
57 6,123 5,505 4,747 2,983 1,099 0 0 0
58 6,288 5,709 5,026 3,409 1,648 0 0 0
59 6,454 5,913 5,306 3,835 2,197 0 0 0
60 6,619 6,116 5,585 4,261 2,747 0 0 0
61 6,785 6,320 5,864 4,687 3,296 731 0 0
62 6,950 6,524 6,143 5,113 3,846 1,461 0 0
63 7,116 6,728 6,423 5,540 4,395 2,192 0 0
64 7,281 6,932 6,702 5,966 4,944 2,923 0 0
65 7,447 7,136 6,981 6,392 5,494 3,653 0 0
66 6,851 6,606 6,534 6,136 5,439 3,946 909 0
67 6,222 6,035 6,032 5,795 5,274 4,092 1,616 0
68 5,560 5,423 5,473 5,369 4,999 4,092 2,122 0
69 4,865 4,771 4,859 4,858 4,615 3,946 2,425 0
70 4,137 4,078 4,189 4,261 4,120 3,653 2,526 0
71 3,376 3,344 3,463 3,579 3,516 3,215 2,425 565
72 2,581 2,569 2,681 2,812 2,802 2,630 2,122 847
73 1,754 1,753 1,843 1,960 1,978 1,900 1,616 847
74 894 897 949 1,023 1,044 1,023 909 565
75 0 0 0 0 0 0 0 0

 

TABLE 2.2. Death Benefits: Individual Policies, 730-Day Lifetime Maximum, and No Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 938 0 0 0 0 0 0 0
26 938 0 0 0 0 0 0 0
27 938 0 0 0 0 0 0 0
28 938 0 0 0 0 0 0 0
29 938 0 0 0 0 0 0 0
30 1,877 0 0 0 0 0 0 0
31 1,877 0 0 0 0 0 0 0
32 1,877 0 0 0 0 0 0 0
33 1,877 0 0 0 0 0 0 0
34 1,877 0 0 0 0 0 0 0
35 2,815 1,229 0 0 0 0 0 0
36 2,815 1,229 0 0 0 0 0 0
37 2,815 1,229 0 0 0 0 0 0
38 2,815 1,229 0 0 0 0 0 0
39 2,815 1,229 0 0 0 0 0 0
40 3,754 2,459 0 0 0 0 0 0
41 3,941 2,705 361 0 0 0 0 0
42 4,129 2,951 722 0 0 0 0 0
43 4,317 3,196 1,083 0 0 0 0 0
44 4,504 3,442 1,444 0 0 0 0 0
45 4,692 3,688 1,805 0 0 0 0 0
46 4,880 3,934 2,166 0 0 0 0 0
47 5,067 4,180 2,528 0 0 0 0 0
48 5,255 4,426 2,889 0 0 0 0 0
49 5,443 4,672 3,250 0 0 0 0 0
50 5,630 4,918 3,611 0 0 0 0 0
51 5,818 5,163 3,972 586 0 0 0 0
52 6,006 5,409 4,333 1,172 0 0 0 0
53 6,193 5,655 4,694 1,758 0 0 0 0
54 6,381 5,901 5,055 2,344 0 0 0 0
55 6,569 6,147 5,416 2,930 0 0 0 0
56 6,756 6,393 5,777 3,516 778 0 0 0
57 6,944 6,639 6,138 4,103 1,556 0 0 0
58 7,132 6,885 6,499 4,689 2,334 0 0 0
59 7,320 7,131 6,861 5,275 3,112 0 0 0
60 7,507 7,376 7,222 5,861 3,890 0 0 0
61 7,695 7,622 7,583 6,447 4,668 1,058 0 0
62 7,883 7,868 7,944 7,033 5,446 2,116 0 0
63 8,070 8,114 8,305 7,619 6,224 3,174 0 0
64 8,258 8,360 8,666 8,205 7,002 4,233 0 0
65 8,446 8,606 9,027 8,791 7,780 5,291 0 0
66 7,770 7,967 8,449 8,440 7,702 5,714 1,344 0
67 7,057 7,278 7,799 7,971 7,468 5,926 2,388 0
68 6,306 6,540 7,077 7,385 7,079 5,926 3,135 0
69 5,518 5,754 6,283 6,681 6,535 5,714 3,583 0
70 4,692 4,918 5,416 5,861 5,835 5,291 3,732 0
71 3,829 4,032 4,477 4,923 4,979 4,656 3,583 856
72 2,928 3,098 3,466 3,868 3,968 3,809 3,135 1,283
73 1,989 2,115 2,383 2,696 2,801 2,751 2,388 1,283
74 1,013 1,082 1,228 1,407 1,478 1,481 1,344 856
75 0 0 0 0 0 0 0 0

 

TABLE 2.3. Death Benefits: Individual Policies, 1,825-Day Lifetime Maximum, and No Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 1,119 0 0 0 0 0 0 0
26 1,119 0 0 0 0 0 0 0
27 1,119 0 0 0 0 0 0 0
28 1,119 0 0 0 0 0 0 0
29 1,119 0 0 0 0 0 0 0
30 2,238 0 0 0 0 0 0 0
31 2,238 0 0 0 0 0 0 0
32 2,238 0 0 0 0 0 0 0
33 2,238 0 0 0 0 0 0 0
34 2,238 0 0 0 0 0 0 0
35 3,357 1,562 0 0 0 0 0 0
36 3,357 1,562 0 0 0 0 0 0
37 3,357 1,562 0 0 0 0 0 0
38 3,357 1,562 0 0 0 0 0 0
39 3,357 1,562 0 0 0 0 0 0
40 4,476 3,124 0 0 0 0 0 0
41 4,700 3,436 488 0 0 0 0 0
42 4,924 3,748 976 0 0 0 0 0
43 5,147 4,061 1,464 0 0 0 0 0
44 5,371 4,373 1,953 0 0 0 0 0
45 5,595 4,685 2,441 0 0 0 0 0
46 5,819 4,998 2,929 0 0 0 0 0
47 6,043 5,310 3,417 0 0 0 0 0
48 6,266 5,622 3,905 0 0 0 0 0
49 6,490 5,935 4,393 0 0 0 0 0
50 6,714 6,247 4,882 0 0 0 0 0
51 6,938 6,560 5,370 827 0 0 0 0
52 7,162 6,872 5,858 1,654 0 0 0 0
53 7,385 7,184 6,346 2,480 0 0 0 0
54 7,609 7,497 6,834 3,307 0 0 0 0
55 7,833 7,809 7,322 4,134 0 0 0 0
56 8,057 8,121 7,811 4,961 1,119 0 0 0
57 8,281 8,434 8,299 5,788 2,238 0 0 0
58 8,504 8,746 8,787 6,614 3,357 0 0 0
59 8,728 9,058 9,275 7,441 4,476 0 0 0
60 8,952 9,371 9,763 8,268 5,594 0 0 0
61 9,176 9,683 10,251 9,095 6,713 1,543 0 0
62 9,400 9,996 10,740 9,922 7,832 3,086 0 0
63 9,623 10,308 11,228 10,748 8,951 4,629 0 0
64 9,847 10,620 11,716 11,575 10,070 6,172 0 0
65 10,071 10,933 12,204 12,402 11,189 7,715 0 0
66 9,265 10,120 11,423 11,906 11,077 8,333 1,984 0
67 8,415 9,246 10,544 11,244 10,741 8,641 3,528 0
68 7,520 8,309 9,568 10,418 10,182 8,641 4,630 0
69 6,580 7,309 8,494 9,426 9,399 8,333 5,292 0
70 5,595 6,247 7,322 8,268 8,392 7,715 5,512 0
71 4,566 5,123 6,053 6,945 7,161 6,790 5,292 1,279
72 3,491 3,936 4,686 5,457 5,706 5,555 4,630 1,919
73 2,372 2,686 3,222 3,803 4,028 4,012 3,528 1,919
74 1,209 1,374 1,660 1,984 2,126 2,160 1,984 1,279
75 0 0 0 0 0 0 0 0

 

TABLE 2.4. Death Benefits: Individual Policies, 365-Day Lifetime Maximum, and 5%/Year Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 1,793 0 0 0 0 0 0 0
26 1,793 0 0 0 0 0 0 0
27 1,793 0 0 0 0 0 0 0
28 1,793 0 0 0 0 0 0 0
29 1,793 0 0 0 0 0 0 0
30 4,081 0 0 0 0 0 0 0
31 4,081 0 0 0 0 0 0 0
32 4,081 0 0 0 0 0 0 0
33 4,081 0 0 0 0 0 0 0
34 4,081 0 0 0 0 0 0 0
35 7,002 2,336 0 0 0 0 0 0
36 7,002 2,336 0 0 0 0 0 0
37 7,002 2,336 0 0 0 0 0 0
38 7,002 2,336 0 0 0 0 0 0
39 7,002 2,336 0 0 0 0 0 0
40 10,729 5,317 0 0 0 0 0 0
41 11,590 6,006 587 0 0 0 0 0
42 12,494 6,729 1,203 0 0 0 0 0
43 13,443 7,488 1,850 0 0 0 0 0
44 14,440 8,286 2,529 0 0 0 0 0
45 15,486 9,123 3,242 0 0 0 0 0
46 16,585 10,001 3,991 0 0 0 0 0
47 17,739 10,924 4,778 0 0 0 0 0
48 18,950 11,893 5,603 0 0 0 0 0
49 20,222 12,911 6,470 0 0 0 0 0
50 21,558 13,979 7,381 0 0 0 0 0
51 22,960 15,101 8,337 838 0 0 0 0
52 24,433 16,278 9,340 1,718 0 0 0 0
53 25,979 17,515 10,394 2,642 0 0 0 0
54 27,603 18,814 11,500 3,613 0 0 0 0
55 29,307 20,177 12,662 4,632 0 0 0 0
56 31,097 21,609 13,882 5,701 1,004 0 0 0
57 32,976 23,112 15,163 6,825 2,059 0 0 0
58 34,950 24,690 16,508 8,004 3,166 0 0 0
59 37,022 26,348 17,920 9,242 4,329 0 0 0
60 39,197 28,088 19,403 10,543 5,550 0 0 0
61 41,481 29,915 20,960 11,908 6,832 1,208 0 0
62 43,880 31,833 22,595 13,342 8,178 2,476 0 0
63 46,398 33,848 24,311 14,847 9,591 3,808 0 0
64 49,043 35,963 26,114 16,428 11,075 5,206 0 0
65 51,820 38,184 28,006 18,087 12,633 6,674 0 0
66 49,261 36,464 26,994 17,847 12,842 7,394 1,334 0
67 46,237 34,371 25,664 17,328 12,790 7,867 2,430 0
68 42,707 31,875 23,989 16,506 12,454 8,073 3,270 0
69 38,631 28,941 21,943 15,359 11,811 7,991 3,832 0
70 33,965 25,535 19,493 13,858 10,837 7,596 4,094 0
71 28,660 21,618 16,609 11,976 9,505 6,864 4,032 740
72 22,667 17,151 13,256 9,683 7,786 5,767 3,620 1,138
73 15,932 12,090 9,396 6,945 5,651 4,279 2,830 1,167
74 8,397 6,390 4,992 3,730 3,067 2,367 1,634 797
75 0 0 0 0 0 0 0 0

 

TABLE 2.5. Death Benefits: Individual Policies, 730-Day Lifetime Maximum, and 5%/Year Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 2,038 0 0 0 0 0 0 0
26 2,038 0 0 0 0 0 0 0
27 2,038 0 0 0 0 0 0 0
28 2,038 0 0 0 0 0 0 0
29 2,038 0 0 0 0 0 0 0
30 4,640 0 0 0 0 0 0 0
31 4,640 0 0 0 0 0 0 0
32 4,640 0 0 0 0 0 0 0
33 4,640 0 0 0 0 0 0 0
34 4,640 0 0 0 0 0 0 0
35 7,960 2,709 0 0 0 0 0 0
36 7,960 2,709 0 0 0 0 0 0
37 7,960 2,709 0 0 0 0 0 0
38 7,960 2,709 0 0 0 0 0 0
39 7,960 2,709 0 0 0 0 0 0
40 12,197 6,167 0 0 0 0 0 0
41 13,176 6,966 698 0 0 0 0 0
42 14,204 7,804 1,431 0 0 0 0 0
43 15,283 8,685 2,201 0 0 0 0 0
44 16,416 9,610 3,009 0 0 0 0 0
45 17,606 10,580 3,858 0 0 0 0 0
46 18,855 11,600 4,749 0 0 0 0 0
47 20,166 12,670 5,684 0 0 0 0 0
48 21,544 13,794 6,667 0 0 0 0 0
49 22,990 14,974 7,698 0 0 0 0 0
50 24,508 16,213 8,781 0 0 0 0 0
51 26,102 17,514 9,919 1,039 0 0 0 0
52 27,776 18,880 11,113 2,130 0 0 0 0
53 29,534 20,314 12,366 3,276 0 0 0 0
54 31,379 21,820 13,683 4,479 0 0 0 0
55 33,317 23,402 15,065 5,742 0 0 0 0
56 35,352 25,062 16,517 7,068 1,283 0 0 0
57 37,489 26,805 18,041 8,460 2,629 0 0 0
58 39,732 28,636 19,641 9,922 4,043 0 0 0
59 42,087 30,558 21,321 11,457 5,528 0 0 0
60 44,561 32,576 23,085 13,069 7,087 0 0 0
61 47,158 34,695 24,938 14,762 8,720 1,613 0 0
62 49,884 36,921 26,883 16,539 10,443 3,307 0 0
63 52,747 39,257 28,925 18,405 12,247 5,086 0 0
64 55,754 41,710 31,070 20,365 14,142 6,954 0 0
65 58,910 44,286 33,321 22,422 16,132 8,915 0 0
66 56,002 42,291 32,117 22,124 16,399 9,877 1,869 0
67 52,564 39,864 30,534 21,480 16,332 10,509 3,405 0
68 48,551 36,969 28,542 20,462 15,903 10,785 4,582 0
69 43,917 33,566 26,107 19,039 15,082 10,674 5,370 0
70 38,612 29,615 23,192 17,179 13,838 10,147 5,737 0
71 32,582 25,073 19,761 14,846 12,137 9,168 5,650 1,090
72 25,769 19,892 15,771 12,003 9,943 7,704 5,072 1,676
73 18,112 14,022 11,179 8,610 7,216 5,716 3,966 1,718
74 9,546 7,411 5,939 4,624 3,917 3,162 2,290 1,175
75 0 0 0 0 0 0 0 0

 

TABLE 2.6. Death Benefits: Individual Policies, 1,825-Day Lifetime Maximum, and 5%/Year Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 2,689 0 0 0 0 0 0 0
26 2,689 0 0 0 0 0 0 0
27 2,689 0 0 0 0 0 0 0
28 2,689 0 0 0 0 0 0 0
29 2,689 0 0 0 0 0 0 0
30 6,120 0 0 0 0 0 0 0
31 6,120 0 0 0 0 0 0 0
32 6,120 0 0 0 0 0 0 0
33 6,120 0 0 0 0 0 0 0
34 6,120 0 0 0 0 0 0 0
35 10,500 3,712 0 0 0 0 0 0
36 10,500 3,712 0 0 0 0 0 0
37 10,500 3,712 0 0 0 0 0 0
38 10,500 3,712 0 0 0 0 0 0
39 10,500 3,712 0 0 0 0 0 0
40 16,090 8,449 0 0 0 0 0 0
41 17,381 9,544 991 0 0 0 0 0
42 18,737 10,692 2,031 0 0 0 0 0
43 20,160 11,899 3,124 0 0 0 0 0
44 21,655 13,166 4,271 0 0 0 0 0
45 23,224 14,496 5,476 0 0 0 0 0
46 24,872 15,892 6,740 0 0 0 0 0
47 26,602 17,359 8,068 0 0 0 0 0
48 28,419 18,898 9,463 0 0 0 0 0
49 30,326 20,515 10,927 0 0 0 0 0
50 32,329 22,212 12,464 0 0 0 0 0
51 34,432 23,995 14,078 1,517 0 0 0 0
52 36,640 25,866 15,773 3,111 0 0 0 0
53 38,959 27,831 17,553 4,784 0 0 0 0
54 41,394 29,895 19,421 6,540 0 0 0 0
55 43,950 32,061 21,383 8,385 0 0 0 0
56 46,634 34,336 23,444 10,321 1,904 0 0 0
57 49,452 36,725 25,607 12,355 3,903 0 0 0
58 52,411 39,233 27,878 14,490 6,002 0 0 0
59 55,519 41,866 30,263 16,732 8,207 0 0 0
60 58,781 44,631 32,767 19,086 10,521 0 0 0
61 62,207 47,534 35,396 21,557 12,951 2,409 0 0
62 65,804 50,583 38,157 24,153 15,503 4,938 0 0
63 69,581 53,784 41,056 26,878 18,182 7,593 0 0
64 73,546 57,145 44,100 29,739 20,995 10,382 0 0
65 77,710 60,674 47,296 32,743 23,949 13,309 0 0
66 73,874 57,941 45,586 32,308 24,345 14,745 2,810 0
67 78,006 61,443 48,757 35,289 27,276 17,650 5,760 0
68 82,344 65,119 52,087 38,419 30,354 20,700 8,857 0
69 86,899 68,980 55,583 41,706 33,585 23,903 12,110 0
70 91,682 73,034 59,254 45,157 36,978 27,266 15,525 0
71 96,704 77,290 63,109 48,780 40,540 30,797 19,111 3,718
72 101,977 81,759 67,156 52,585 44,281 34,505 22,876 7,622
73 107,514 86,451 71,406 56,580 48,209 38,398 26,829 11,721
74 113,327 91,379 75,868 60,775 52,333 42,485 30,980 16,025
75 119,432 96,552 80,553 65,179 56,663 46,777 35,339 20,544

 

TABLE 2.7. Death Benefits: Employee Policies, 365-Day Lifetime Maximum, and No Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 626 0 0 0 0 0 0 0
26 626 0 0 0 0 0 0 0
27 626 0 0 0 0 0 0 0
28 626 0 0 0 0 0 0 0
29 626 0 0 0 0 0 0 0
30 1,253 0 0 0 0 0 0 0
31 1,253 0 0 0 0 0 0 0
32 1,253 0 0 0 0 0 0 0
33 1,253 0 0 0 0 0 0 0
34 1,253 0 0 0 0 0 0 0
35 1,879 808 0 0 0 0 0 0
36 1,879 808 0 0 0 0 0 0
37 1,879 808 0 0 0 0 0 0
38 1,879 808 0 0 0 0 0 0
39 1,879 808 0 0 0 0 0 0
40 2,506 1,615 0 0 0 0 0 0
41 2,631 1,777 231 0 0 0 0 0
42 2,756 1,938 462 0 0 0 0 0
43 2,881 2,100 693 0 0 0 0 0
44 3,007 2,261 924 0 0 0 0 0
45 3,132 2,423 1,155 0 0 0 0 0
46 3,257 2,584 1,386 0 0 0 0 0
47 3,383 2,746 1,617 0 0 0 0 0
48 3,508 2,907 1,848 0 0 0 0 0
49 3,633 3,069 2,079 0 0 0 0 0
50 3,758 3,230 2,310 0 0 0 0 0
51 3,884 3,392 2,541 364 0 0 0 0
52 4,009 3,553 2,772 728 0 0 0 0
53 4,134 3,715 3,003 1,092 0 0 0 0
54 4,260 3,876 3,234 1,456 0 0 0 0
55 4,385 4,038 3,465 1,820 0 0 0 0
56 4,510 4,200 3,696 2,184 476 0 0 0
57 4,635 4,361 3,927 2,548 952 0 0 0
58 4,761 4,523 4,158 2,912 1,428 0 0 0
59 4,886 4,684 4,389 3,276 1,904 0 0 0
60 5,011 4,846 4,620 3,640 2,380 0 0 0
61 5,136 5,007 4,851 4,004 2,856 640 0 0
62 5,262 5,169 5,082 4,368 3,331 1,280 0 0
63 5,387 5,330 5,313 4,731 3,807 1,920 0 0
64 5,512 5,492 5,544 5,095 4,283 2,559 0 0
65 5,638 5,653 5,775 5,459 4,759 3,199 0 0
66 5,187 5,233 5,405 5,241 4,712 3,455 801 0
67 4,711 4,781 4,990 4,950 4,569 3,583 1,424 0
68 4,209 4,296 4,528 4,586 4,331 3,583 1,869 0
69 3,683 3,780 4,019 4,149 3,998 3,455 2,136 0
70 3,132 3,230 3,465 3,640 3,569 3,199 2,225 0
71 2,556 2,649 2,864 3,057 3,046 2,815 2,136 497
72 1,954 2,035 2,218 2,402 2,427 2,303 1,869 745
73 1,328 1,389 1,525 1,674 1,713 1,664 1,424 745
74 677 711 785 874 904 896 801 497
75 0 0 0 0 0 0 0 0

 

TABLE 2.8. Death Benefits: Employee Policies, 730-Day Lifetime Maximum, and No Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 729 0 0 0 0 0 0 0
26 729 0 0 0 0 0 0 0
27 729 0 0 0 0 0 0 0
28 729 0 0 0 0 0 0 0
29 729 0 0 0 0 0 0 0
30 1,458 0 0 0 0 0 0 0
31 1,458 0 0 0 0 0 0 0
32 1,458 0 0 0 0 0 0 0
33 1,458 0 0 0 0 0 0 0
34 1,458 0 0 0 0 0 0 0
35 2,187 1,001 0 0 0 0 0 0
36 2,187 1,001 0 0 0 0 0 0
37 2,187 1,001 0 0 0 0 0 0
38 2,187 1,001 0 0 0 0 0 0
39 2,187 1,001 0 0 0 0 0 0
40 2,916 2,002 0 0 0 0 0 0
41 3,062 2,202 306 0 0 0 0 0
42 3,208 2,402 612 0 0 0 0 0
43 3,353 2,602 918 0 0 0 0 0
44 3,499 2,802 1,224 0 0 0 0 0
45 3,645 3,002 1,531 0 0 0 0 0
46 3,791 3,203 1,837 0 0 0 0 0
47 3,937 3,403 2,143 0 0 0 0 0
48 4,082 3,603 2,449 0 0 0 0 0
49 4,228 3,803 2,755 0 0 0 0 0
50 4,374 4,003 3,061 0 0 0 0 0
51 4,520 4,203 3,367 509 0 0 0 0
52 4,666 4,404 3,673 1,019 0 0 0 0
53 4,811 4,604 3,980 1,528 0 0 0 0
54 4,957 4,804 4,286 2,038 0 0 0 0
55 5,103 5,004 4,592 2,547 0 0 0 0
56 5,249 5,204 4,898 3,056 683 0 0 0
57 5,395 5,404 5,204 3,566 1,366 0 0 0
58 5,540 5,604 5,510 4,075 2,049 0 0 0
59 5,686 5,805 5,816 4,585 2,733 0 0 0
60 5,832 6,005 6,122 5,094 3,416 0 0 0
61 5,978 6,205 6,429 5,603 4,099 936 0 0
62 6,124 6,405 6,735 6,113 4,782 1,872 0 0
63 6,269 6,605 7,041 6,622 5,465 2,808 0 0
64 6,415 6,805 7,347 7,132 6,148 3,744 0 0
65 6,561 7,006 7,653 7,641 6,832 4,680 0 0
66 6,036 6,485 7,163 7,335 6,763 5,054 1,192 0
67 5,482 5,925 6,612 6,928 6,558 5,242 2,119 0
68 4,899 5,324 6,000 6,418 6,217 5,242 2,782 0
69 4,287 4,684 5,326 5,807 5,739 5,054 3,179 0
70 3,645 4,003 4,592 5,094 5,124 4,680 3,311 0
71 2,974 3,283 3,796 4,279 4,372 4,118 3,179 757
72 2,274 2,522 2,939 3,362 3,484 3,370 2,782 1,135
73 1,545 1,721 2,020 2,343 2,459 2,434 2,119 1,135
74 787 881 1,041 1,223 1,298 1,310 1,192 757
75 0 0 0 0 0 0 0 0

 

TABLE 2.9. Death Benefits: Employee Policies, 1,825-Day Lifetime Maximum, and No Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 895 0 0 0 0 0 0 0
26 895 0 0 0 0 0 0 0
27 895 0 0 0 0 0 0 0
28 895 0 0 0 0 0 0 0
29 895 0 0 0 0 0 0 0
30 1,790 0 0 0 0 0 0 0
31 1,790 0 0 0 0 0 0 0
32 1,790 0 0 0 0 0 0 0
33 1,790 0 0 0 0 0 0 0
34 1,790 0 0 0 0 0 0 0
35 2,686 1,307 0 0 0 0 0 0
36 2,686 1,307 0 0 0 0 0 0
37 2,686 1,307 0 0 0 0 0 0
38 2,686 1,307 0 0 0 0 0 0
39 2,686 1,307 0 0 0 0 0 0
40 3,581 2,614 0 0 0 0 0 0
41 3,760 2,875 423 0 0 0 0 0
42 3,939 3,136 845 0 0 0 0 0
43 4,118 3,398 1,268 0 0 0 0 0
44 4,297 3,659 1,691 0 0 0 0 0
45 4,476 3,920 2,113 0 0 0 0 0
46 4,655 4,182 2,536 0 0 0 0 0
47 4,834 4,443 2,958 0 0 0 0 0
48 5,013 4,704 3,381 0 0 0 0 0
49 5,192 4,966 3,804 0 0 0 0 0
50 5,371 5,227 4,226 0 0 0 0 0
51 5,550 5,489 4,649 728 0 0 0 0
52 5,729 5,750 5,072 1,457 0 0 0 0
53 5,908 6,011 5,494 2,185 0 0 0 0
54 6,087 6,273 5,917 2,913 0 0 0 0
55 6,266 6,534 6,340 3,641 0 0 0 0
56 6,445 6,795 6,762 4,370 992 0 0 0
57 6,624 7,057 7,185 5,098 1,985 0 0 0
58 6,804 7,318 7,608 5,826 2,977 0 0 0
59 6,983 7,579 8,030 6,555 3,969 0 0 0
60 7,162 7,841 8,453 7,283 4,961 0 0 0
61 7,341 8,102 8,875 8,011 5,954 1,375 0 0
62 7,520 8,364 9,298 8,739 6,946 2,749 0 0
63 7,699 8,625 9,721 9,468 7,938 4,124 0 0
64 7,878 8,886 10,143 10,196 8,931 5,498 0 0
65 8,057 9,148 10,566 10,924 9,923 6,873 0 0
66 7,412 8,468 9,890 10,487 9,824 7,423 1,769 0
67 6,732 7,736 9,129 9,905 9,526 7,698 3,145 0
68 6,016 6,952 8,284 9,176 9,030 7,698 4,128 0
69 5,264 6,116 7,354 8,302 8,335 7,423 4,717 0
70 4,476 5,227 6,340 7,283 7,442 6,873 4,914 0
71 3,652 4,286 5,241 6,118 6,351 6,048 4,717 1,135
72 2,793 3,293 4,057 4,807 5,061 4,949 4,128 1,702
73 1,898 2,248 2,789 3,350 3,572 3,574 3,145 1,702
74 967 1,150 1,437 1,748 1,885 1,924 1,769 1,135
75 0 0 0 0 0 0 0 0

 

TABLE 2.10. Death Benefits: Employee Policies, 365-Day Lifetime Maximum, and 5%/Year Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 1,528 0 0 0 0 0 0 0
26 1,528 0 0 0 0 0 0 0
27 1,528 0 0 0 0 0 0 0
28 1,528 0 0 0 0 0 0 0
29 1,528 0 0 0 0 0 0 0
30 3,479 0 0 0 0 0 0 0
31 3,479 0 0 0 0 0 0 0
32 3,479 0 0 0 0 0 0 0
33 3,479 0 0 0 0 0 0 0
34 3,479 0 0 0 0 0 0 0
35 5,969 2,036 0 0 0 0 0 0
36 5,969 2,036 0 0 0 0 0 0
37 5,969 2,036 0 0 0 0 0 0
38 5,969 2,036 0 0 0 0 0 0
39 5,969 2,036 0 0 0 0 0 0
40 9,146 4,634 0 0 0 0 0 0
41 9,880 5,234 521 0 0 0 0 0
42 10,651 5,864 1,067 0 0 0 0 0
43 11,460 6,525 1,641 0 0 0 0 0
44 12,309 7,220 2,244 0 0 0 0 0
45 13,201 7,950 2,877 0 0 0 0 0
46 14,138 8,715 3,542 0 0 0 0 0
47 15,121 9,520 4,239 0 0 0 0 0
48 16,154 10,364 4,972 0 0 0 0 0
49 17,238 11,251 5,741 0 0 0 0 0
50 18,377 12,181 6,549 0 0 0 0 0
51 19,572 13,159 7,397 754 0 0 0 0
52 20,828 14,185 8,288 1,545 0 0 0 0
53 22,146 15,263 9,223 2,376 0 0 0 0
54 23,530 16,395 10,205 3,249 0 0 0 0
55 24,983 17,583 11,236 4,165 0 0 0 0
56 26,508 18,830 12,318 5,127 908 0 0 0
57 28,110 20,140 13,455 6,137 1,861 0 0 0
58 29,792 21,516 14,648 7,197 2,863 0 0 0
59 31,559 22,960 15,901 8,311 3,914 0 0 0
60 33,413 24,476 17,217 9,480 5,017 0 0 0
61 35,360 26,068 18,598 10,708 6,176 1,096 0 0
62 37,405 27,740 20,049 11,997 7,393 2,246 0 0
63 39,552 29,495 21,572 13,351 8,671 3,455 0 0
64 41,806 31,339 23,171 14,772 10,013 4,723 0 0
65 44,173 33,274 24,851 16,264 11,421 6,055 0 0
66 41,992 31,775 23,952 16,048 11,610 6,708 1,210 0
67 39,414 29,952 22,772 15,581 11,563 7,138 2,205 0
68 36,405 27,776 21,286 14,843 11,259 7,325 2,966 0
69 32,931 25,220 19,470 13,811 10,678 7,250 3,476 0
70 28,953 22,251 17,297 12,461 9,797 6,892 3,714 0
71 24,431 18,838 14,737 10,769 8,593 6,227 3,657 668
72 19,322 14,946 11,762 8,707 7,039 5,233 3,283 1,027
73 13,581 10,536 8,338 6,245 5,109 3,882 2,567 1,053
74 7,158 5,568 4,429 3,354 2,773 2,148 1,482 719
75 0 0 0 0 0 0 0 0

 

TABLE 2.11. Death Benefits: Employee Policies, 730-Day Lifetime Maximum, and 5%/Year Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 1,754 0 0 0 0 0 0 0
26 1,754 0 0 0 0 0 0 0
27 1,754 0 0 0 0 0 0 0
28 1,754 0 0 0 0 0 0 0
29 1,754 0 0 0 0 0 0 0
30 3,994 0 0 0 0 0 0 0
31 3,994 0 0 0 0 0 0 0
32 3,994 0 0 0 0 0 0 0
33 3,994 0 0 0 0 0 0 0
34 3,994 0 0 0 0 0 0 0
35 6,852 2,380 0 0 0 0 0 0
36 6,852 2,380 0 0 0 0 0 0
37 6,852 2,380 0 0 0 0 0 0
38 6,852 2,380 0 0 0 0 0 0
39 6,852 2,380 0 0 0 0 0 0
40 10,499 5,417 0 0 0 0 0 0
41 11,342 6,119 623 0 0 0 0 0
42 12,226 6,855 1,278 0 0 0 0 0
43 13,155 7,629 1,965 0 0 0 0 0
44 14,130 8,441 2,686 0 0 0 0 0
45 15,154 9,293 3,444 0 0 0 0 0
46 16,230 10,189 4,239 0 0 0 0 0
47 17,359 11,129 5,075 0 0 0 0 0
48 18,544 12,116 5,952 0 0 0 0 0
49 19,789 13,153 6,873 0 0 0 0 0
50 21,096 14,241 7,840 0 0 0 0 0
51 22,468 15,384 8,855 939 0 0 0 0
52 23,909 16,583 9,921 1,924 0 0 0 0
53 25,422 17,843 11,040 2,959 0 0 0 0
54 27,010 19,166 12,215 4,046 0 0 0 0
55 28,679 20,555 13,449 5,187 0 0 0 0
56 30,430 22,014 14,745 6,385 1,164 0 0 0
57 32,269 23,545 16,106 7,643 2,387 0 0 0
58 34,200 25,153 17,534 8,964 3,670 0 0 0
59 36,227 26,841 19,034 10,351 5,018 0 0 0
60 38,356 28,614 20,609 11,808 6,433 0 0 0
61 40,592 30,475 22,263 13,337 7,919 1,469 0 0
62 42,939 32,430 24,000 14,942 9,479 3,012 0 0
63 45,403 34,482 25,823 16,628 11,117 4,632 0 0
64 47,991 36,637 27,737 18,398 12,838 6,332 0 0
65 50,708 38,899 29,747 20,257 14,644 8,118 0 0
66 48,205 37,147 28,672 19,988 14,886 8,994 1,700 0
67 45,245 35,015 27,259 19,406 14,825 9,570 3,099 0
68 41,791 32,472 25,481 18,487 14,436 9,820 4,169 0
69 37,803 29,483 23,307 17,201 13,691 9,720 4,886 0
70 33,236 26,013 20,705 15,520 12,561 9,239 5,220 0
71 28,045 22,023 17,642 13,413 11,017 8,349 5,141 986
72 22,181 17,472 14,080 10,844 9,025 7,015 4,615 1,516
73 15,590 12,317 9,980 7,779 6,551 5,205 3,608 1,555
74 8,217 6,509 5,302 4,178 3,555 2,879 2,083 1,063
75 0 0 0 0 0 0 0 0

 

TABLE 2.12. Death Benefits: Employee Policies, 1,825-Day Lifetime Maximum, and 5%/Year Indexing
Attained
Age
Issue Age
20 30 40 50 55 60 65 70
25 2,355 0 0 0 0 0 0 0
26 2,355 0 0 0 0 0 0 0
27 2,355 0 0 0 0 0 0 0
28 2,355 0 0 0 0 0 0 0
29 2,355 0 0 0 0 0 0 0
30 5,360 0 0 0 0 0 0 0
31 5,360 0 0 0 0 0 0 0
32 5,360 0 0 0 0 0 0 0
33 5,360 0 0 0 0 0 0 0
34 5,360 0 0 0 0 0 0 0
35 9,195 3,303 0 0 0 0 0 0
36 9,195 3,303 0 0 0 0 0 0
37 9,195 3,303 0 0 0 0 0 0
38 9,195 3,303 0 0 0 0 0 0
39 9,195 3,303 0 0 0 0 0 0
40 14,090 7,520 0 0 0 0 0 0
41 15,221 8,493 893 0 0 0 0 0
42 16,408 9,516 1,830 0 0 0 0 0
43 17,654 10,590 2,815 0 0 0 0 0
44 18,963 11,717 3,848 0 0 0 0 0
45 20,337 12,901 4,933 0 0 0 0 0
46 21,780 14,143 6,073 0 0 0 0 0
47 23,296 15,448 7,269 0 0 0 0 0
48 24,887 16,819 8,525 0 0 0 0 0
49 26,557 18,257 9,845 0 0 0 0 0
50 28,311 19,768 11,230 0 0 0 0 0
51 30,153 21,354 12,684 1,379 0 0 0 0
52 32,086 23,020 14,211 2,827 0 0 0 0
53 34,117 24,769 15,814 4,347 0 0 0 0
54 36,249 26,605 17,498 5,944 0 0 0 0
55 38,487 28,533 19,265 7,620 0 0 0 0
56 40,838 30,558 21,121 9,380 1,737 0 0 0
57 43,306 32,683 23,070 11,228 3,560 0 0 0
58 45,897 34,915 25,117 13,169 5,474 0 0 0
59 48,618 37,259 27,265 15,206 7,485 0 0 0
60 51,475 39,720 29,521 17,345 9,595 0 0 0
61 54,475 42,304 31,890 19,592 11,812 2,201 0 0
62 57,625 45,017 34,377 21,950 14,139 4,512 0 0
63 60,932 47,865 36,989 24,427 16,582 6,939 0 0
64 64,405 50,856 39,731 27,027 19,148 9,487 0 0
65 68,051 53,997 42,611 29,758 21,842 12,163 0 0
66 64,692 51,565 41,071 29,362 22,203 13,475 2,563 0
67 60,720 48,606 39,047 28,508 22,112 14,337 4,671 0
68 56,085 45,075 36,499 27,157 21,531 14,713 6,285 0
69 50,732 40,926 33,385 25,269 20,420 14,563 7,365 0
70 44,604 36,109 29,658 22,800 18,736 13,843 7,868 0
71 37,638 30,571 25,270 19,703 16,433 12,509 7,749 1,498
72 29,767 24,254 20,168 15,930 13,462 10,511 6,956 2,303
73 20,922 17,097 14,296 11,427 9,770 7,798 5,439 2,361
74 11,027 9,036 7,595 6,137 5,303 4,314 3,140 1,614
75 0 0 0 0 0 0 0 0

 

ATTACHMENT 3. RPU.NEW

Reduced paid-up option tables by issue age, duration and indexing.

TABLE 3.A. % of Benefits Payable Under a Reduced Paid-Up Option by Duration: No Indexing
Duration Issue Age
20 30 40 50 55 60 65 70 75 79
1 0 0 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 0 25
6 0 0 0 26 28 30 30 30 30 30
7 25 28 30 33 34 35 35 35 35 35
8 28 34 36 38 40 40 40 40 40 40
9 29 39 41 44 45 45 45 45 45 45
10 30 40 46 48 50 50 50 50 50 50
11 31 41 50 53 54 55 55 55 55 55
12 32 42 52 56 58 59 58 59 59 57
13 33 43 53 60 61 61 62 62 62 60
14 34 44 54 53 64 64 64 65 64 63
15 35 45 55 65 67 67 67 67 65 66
16 36 46 56 66 69 69 69 69 67 69
17 37 47 57 67 71 71 71 71 69 73
18 38 48 58 68 73 73 73 72 72 78
19 39 49 59 69 74 75 74 73 74 83
20 40 50 60 70 75 78 77 75 77 90
21 40 50 60 70 75 78 77 76 77 90
22 40 50 60 70 75 78 77 75 77 90
23 40 50 60 70 75 78 77 75 77 90
24 40 50 60 70 75 78 77 75 77 90
25 45 55 65 75 80 83 83 88 82 0
26 45 55 65 75 80 83 83 88 82 0
27 45 55 65 75 80 83 83 88 82 0
28 45 55 65 75 80 83 83 88 82 0
29 45 55 65 75 80 83 83 88 82 0
30 50 60 70 80 85 87 90 90 87 0
31 50 60 70 80 85 87 90 90 87 0
32 50 60 70 80 85 87 90 90 87 0
33 50 60 70 80 85 87 90 90 87 0
34 50 60 70 80 85 87 90 90 87 0
35 55 65 75 85 89 90 0 0 90 0
36 55 65 75 85 89 90 0 0 90 0
37 55 65 75 85 89 90 0 0 90 0
38 55 65 75 85 89 90 0 0 90 0
39 55 65 75 85 89 90 0 0 90 0
40 60 70 80 89 90 0 0 0 0 0
41 60 70 80 89 90 0 0 0 0 0
42 60 70 80 89 90 0 0 0 0 0
43 60 70 80 89 90 0 0 0 0 0
44 60 70 80 89 90 0 0 0 0 0
45 65 75 85 90 0 0 0 0 0 0
46 65 75 85 90 0 0 0 0 0 0
47 65 75 85 90 0 0 0 0 0 0
48 65 75 85 90 0 0 0 0 0 0
49 65 75 85 90 0 0 0 0 0 0
50 70 80 89 0 0 0 0 0 0 0

 

TABLE 3.B. % of Benefits Payable Under a Reduced Paid-Up Option by Duration: Indexing
Duration Issue Age
20 30 40 50 55 60 65 70 75 79
1 0 0 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0 0
5 25 25 25 25 25 25 25 25 25 25
6 30 30 30 30 30 30 30 30 30 30
7 35 35 35 35 35 35 35 35 35 35
8 40 40 40 40 40 40 40 40 40 40
9 45 45 45 45 45 45 45 45 45 45
10 50 50 50 50 50 50 50 50 50 50
11 55 55 55 55 55 55 55 55 55 55
12 60 60 60 60 60 60 60 60 60 60
13 65 65 65 65 65 65 65 65 65 65
14 70 70 70 70 70 70 70 70 70 68
15 75 75 75 75 75 75 75 75 74 70
16 80 80 80 80 80 80 80 80 75 73
17 85 85 85 85 85 85 85 82 77 77
18 90 90 90 90 90 90 87 83 79 80
19 95 95 95 95 95 91 88 83 80 85
20 100 100 100 100 97 93 89 84 82 93
21 100 100 100 100 97 93 89 84 82 93
22 100 100 100 100 97 93 89 84 82 93
23 100 100 100 100 97 93 89 84 82 93
24 100 100 100 100 97 93 89 84 82 93
25 100 100 100 100 100 95 92 92 87 98
26 100 100 100 100 100 95 92 92 87 98
27 100 100 100 100 100 95 92 92 87 98
28 100 100 100 100 100 95 92 92 87 98
29 100 100 100 100 100 95 92 92 87 98
30 100 100 100 100 100 97 96 97 92 100
31 100 100 100 100 100 97 96 97 92 100
32 100 100 100 100 100 97 96 97 92 100
33 100 100 100 100 100 97 96 97 92 100
34 100 100 100 100 100 97 96 97 92 100
35 100 100 100 100 100 98 100 100 97 0
36 100 100 100 100 100 98 100 100 97 0
37 100 100 100 100 100 98 100 100 97 0
38 100 100 100 100 100 98 100 100 97 0
39 100 100 100 100 100 98 100 100 97 0
40 100 100 100 100 100 100 0 0 100 0
41 100 100 100 100 100 100 0 0 100 0
42 100 100 100 100 100 100 0 0 100 0
43 100 100 100 100 100 100 0 0 100 0
44 100 100 100 100 100 100 0 0 100 0
45 100 100 100 100 0 0 0 0 0 0
46 100 100 100 100 0 0 0 0 0 0
47 100 100 100 100 0 0 0 0 0 0
48 100 100 100 100 0 0 0 0 0 0
49 100 100 100 100 0 0 0 0 0 0
50 100 100 100 0 0 0 0 0 0 0

 

ATTACHMENT 4. PRE.NEW

Monthly premium rates by option, issue age and employment status.

TABLE 1.A. Monthly Premium Rates: Individual Policies
Issue Age Option
1 2 3 4 5 6
20 13.79 15.64 18.65 27.04 30.74 40.55
30 16.99 20.49 26.03 35.23 40.86 55.98
40 23.27 30.09 40.68 48.90 58.18 82.58
50 35.51 48.84 68.90 69.85 86.59 126.45
55 45.78 64.83 93.24 83.70 106.88 158.67
60 60.89 88.18 128.59 100.65 134.45 200.72
65 84.19 124.40 183.74 123.49 173.04 260.15
70 117.61 178.25 266.49 154.19 227.13 344.26
75 164.42 255.30 387.34 195.88 303.61 465.55
79 220.98 345.77 527.52 246.69 391.78 604.49
KEY:
Option 1: $90/day maximum nursing home benefit; $60/day maximum home care benefit; 20% coinsurance on home care; 365-day lifetime maximum; Inability to perform 2 of 6 ADLs; 30-day elimination period (NH counts towards HC); 6-month waiting period for preexisting condition; Waiver of premium after 30 covered NH or HC days; Return-of-premium benefit up to age 65, less 10%/year thereafter; Reduced paid-up after 5 years.
Option 2: Same as Option #1, BUT 730-day lifetime maximum.
Option 3: Same as Option #1, BUT 1,825-day lifetime maximum.
Options 4-6: Correspond to Options 1-3, AND 5%/year indexing on benefits and premiums; Reduced paid-up after 4 years.

 

TABLE 1.B. Monthly Premium Rates: Employee Policies
Issue Age Option
1 2 3 4 5 6
20 10.44 12.15 14.92 23.05 26.46 35.51
30 13.46 16.68 21.78 30.70 35.89 49.82
40 19.25 25.51 35.22 43.39 51.94 74.40
50 30.33 42.45 60.69 62.81 78.23 114.92
55 39.66 56.93 82.69 75.67 97.02 144.71
60 53.32 78.00 114.55 91.32 122.43 183.43
65 74.18 110.38 163.79 112.02 157.45 237.33
70 103.51 157.65 236.41 139.11 205.46 213.01
75 143.14 223.00 339.02 174.35 270.84 415.87
79 188.47 295.61 451.58 215.84 343.39 530.34
KEY:
Option 1: $90/day maximum nursing home benefit; $60/day maximum home care benefit; 20% coinsurance on home care; 365-day lifetime maximum; Inability to perform 2 of 6 ADLs; 30-day elimination period (NH counts towards HC); 6-month waiting period for preexisting condition; Waiver of premium after 30 covered NH or HC days; Return-of-premium benefit up to age 65, less 10%/year thereafter; Reduced paid-up after 5 years.
Option 2: Same as Option #1, BUT 730-day lifetime maximum.
Option 3: Same as Option #1, BUT 1,825-day lifetime maximum.
Options 4-6: Correspond to Options 1-3, AND 5%/year indexing on benefits and premiums; Reduced paid-up after 4 years.

 

TABLE 1.C. Monthly Premium Rates: Retired Policies
Issue Age Option
1 2 3 4 5 6
20 12.36 14.07 16.85 24.76 28.17 37.22
30 15.35 18.58 23.68 32.35 37.55 51.48
40 21.14 27.39 37.10 44.99 53.54 76.00
50 32.23 44.35 62.59 64.35 79.76 116.46
55 41.54 58.81 84.56 77.16 98.50 146.19
60 55.17 79.84 116.39 92.77 123.88 184.88
65 79.01 112.21 165.62 113.46 158.90 238.78
70 105.38 159.51 238.28 140.62 206.97 313.52
75 145.13 224.99 341.01 176.00 272.49 417.52
79 190.69 297.83 453.81 217.68 345.24 532.19
KEY:
Option 1: $90/day maximum nursing home benefit; $60/day maximum home care benefit; 20% coinsurance on home care; 365-day lifetime maximum; Inability to perform 2 of 6 ADLs; 30-day elimination period (NH counts towards HC); 6-month waiting period for preexisting condition; Waiver of premium after 30 covered NH or HC days; Return-of-premium benefit up to age 65, less 10%/year thereafter; Reduced paid-up after 5 years.
Option 2: Same as Option #1, BUT 730-day lifetime maximum.
Option 3: Same as Option #1, BUT 1,825-day lifetime maximum.
Options 4-6: Correspond to Options 1-3, AND 5%/year indexing on benefits and premiums; Reduced paid-up after 4 years.

 

TABLE 4.A. Monthly Premium Rates: Generic Policies
Issue Age Option
1 2 3 4 5 6
20 8.14 5.62 7.36 0 0 0
30 10.21 7.61 9.32 0 0 0
40 14.70 11.85 13.54 0 0 0
50 24.18 20.64 22.32 0 0 0
55 33.36 29.07 30.75 0 0 0
60 47.72 42.11 43.81 0 0 0
65 70.76 62.78 64.51 0 0 0
70 106.02 93.80 95.61 0 0 0
75 158.40 138.65 140.59 0 0 0
79 214.96 185.46 187.55 0 0 0
KEY:
Option 1: $80/day maximum nursing home benefit; $40/day maximum home care benefit; 20% coinsurance on home care; 1,460-day lifetime maximum; Inability to perform 3 of 6 ADLs; 90-day elimination period (NH counts towards HC); 6-month waiting period for preexisting condition; INDIVIDUAL POLICY EXPENSES.
Option 2: Same as Option #1, BUT EMPLOYEE POLICY EXPENSES.
Option 3: Same as Option #1, BUT RETIRED POLICY EXPENSES.

 

ATTACHMENT 5. LAPSE.NEW

Pension lapse rates by policy year, age group, and type of pension.

Graduated Select Lapse Rates: Term Life Insurance
  Policy Year
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
0 .1330 .1051 .0731 .0591 .0508 .0417 .0373 .0341 .0318 .0298 .0214 .0183 .0149 .0131 .0127
1 .1771 .1108 .0796 .0643 .0532 .0412 .0359 .0330 .0319 .0305 .0212 .0179 .0144 .0127 .0129
2-4 .2201 .1162 .0757 .0581 .0500 .0413 .0370 .0342 .0325 .0313 .0236 .0204 .0172 .0166 .0201
5-9 .2184 .1179 .0710 .0511 .0439 .0381 .0350 .0335 .0338 .0354 .0334 .0364 .0353 .0353 .0485
10-14 .1746 .1045 .0543 .0388 .0383 .0391 .0421 .0437 .0451 .0472 .0491 .0444 .0375 .0372 .0392
15-19 .2864 .0134 .0878 .0684 .0715 .0611 .0548 .0496 .0469 .0462 .0449 .0415 .0360 .0335 .0317
20-24 .3198 .1513 .1231 .0968 .0867 .0647 .0570 .0517 .0486 .0460 .0411 .0342 .0272 .0248 .0244
25-29 .2371 .1289 .1047 .0847 .0757 .0580 .0525 .0496 .0489 .0486 .0463 .0395 .0319 .0286 .0239
30-34 .1990 .1220 .0907 .0749 .0689 .0554 .0512 .0480 .0460 .0447 .0418 .0376 .0315 .0248 .0188
35-39 .1797 .1122 .0831 .0688 .0619 .0500 .0459 .0430 .0417 .0414 .0392 .0364 .0306 .0244 .0197
40-44 .1634 .1101 .0751 .0630 .0574 .0482 .0454 .0436 .0435 .0433 .0416 .0383 .0333 .0283 .0264
45-49 .1615 .1070 .0756 .0660 .0612 .0510 .0481 .0475 .0469 .0485 .0504 .0490 .0458 .0437 .0502
50-54 .1660 .1042 .0754 .0698 .0696 .0600 .0595 .0585 .0584 .0577 .0602 .0518 .0430 .0477 .0506
55-59 .1617 .984 .0705 .0692 .0741 .0699 .0725 .0703 .0659 .0585 .0471 .0334 .0262 .0258 .0249
60-64 .1365 .1124 .0918 .0825 .0786 .0597 .0533 .0486 .0441 .0385 .0279 .0212 .0173 .0167 .0163
65-69 .1323 .0990 .0714 .0656 .0641 .0546 .0508 .0452 .0388 .0331 .0226 .0191 .0190 .0163 .0153
70-99 .1749 .1257 .1044 .0850 .0717 .0550 .0504 .0464 .0413 .0353 .0239 .0180 .0138 .0117 .0117

 

Graduated Select Lapse Rates: Pension Life Insurance
  Policy Year
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
0 .1520 .1410 .1250 .1160 .1110 .0190 .1070 .1060 .1080 .1110 .1140 .1170 .1190 .1200 .1200
1 .1540 .1390 .1270 .1200 .1170 .1150 .1140 .1130 .1150 .1170 .1190 .1210 .1230 .1230 .1220
2-4 .1520 .1370 .1250 .1180 .1140 .1120 .1100 .1100 .1110 .1130 .1160 .1190 .1220 .1240 .1260
5-9 .1540 .1440 .1260 .1160 .1120 .1100 .1090 .1090 .1110 .1140 .1180 .1200 .1210 .1200 .1160
10-14 .1520 .1430 .1250 .1150 .1100 .1070 .1060 .1060 .1080 .1120 .1170 .1200 .1240 .1250 .1250
15-19 .2590 .2160 .1660 .1340 .1170 .1070 .1000 .0960 .0990 .1060 .1150 .1220 .1270 .1270 .1240
20-24 .2260 .1460 .1140 .0920 .0800 .0720 .0660 .0630 .0630 .0670 .0720 .0770 .0810 .0820 .0820
25-29 .2180 .1060 .0930 .0850 .0790 .0750 .0720 .0690 .0680 .0680 .0680 .0670 .0660 .0630 .0600
30-34 .1900 .1500 .1550 .1510 .1400 .1270 .1150 .1030 .0890 .0750 .0620 .0520 .0450 .0440 .0460
35-39 .1710 .1480 .1430 .1400 .1380 .1370 .1370 .1380 .1400 .1430 .1470 .1520 .1580 .1650 .1730
40-44 .1610 .1230 .1200 .1180 .1170 .1170 .1170 .1190 .1210 .1240 .1270 .1320 .1370 .1430 .1490
45-49 .1580 .1210 .1180 .1150 .1130 .1120 .1130 .1150 .1180 .1220 .1290 .1370 .1460 .1590 .1730
50-54 .1520 .1020 .1050 .1060 .1060 .1080 .1120 .1200 .1290 .1400 .1550 .1740 .1970 .2250 .2580
55-59 .1400 .1140 .1100 .1170 .1320 .1470 .1580 .1660 .1740 .1800 .1800 .1720 .1560 .1290 .0920
60-64 .1490 .1140 .1320 .1400 .1400 .1360 .1320 .1270 .1200 .1120 .1040 .0990 .0970 .1000 .1070
65-69 .1770 .1310 .1200 .1120 .1080 .1050 .1040 .1040 .1050 .1080 .1120 .1170 .1210 .1260 .1300
70-99 .1430 .1340 .1250 .1190 .1160 .1140 .1130 .1130 .1150 .1170 .1200 .1230 .1260 .1280 .1300

 

Graduated Select Lapse Rates: High Early-Cash-Value Insurance
  Policy Year
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
0 .1020 .0830 .0980 .1010 .0880 .0710 .0570 .0460 .0390 .0340 .0330 .0330 .0320 .0320 .0450
1 .1030 .0840 .0980 .1010 .0880 .0710 .0570 .0460 .0390 .0340 .0330 .0330 .0320 .0320 .0450
2-4 .1070 .0840 .0970 .1010 .0880 .0710 .0570 .0460 .0390 .0340 .0330 .0330 .0320 .0320 .0450
5-9 .1020 .0820 .0970 .1010 .0880 .0710 .0570 .0460 .0390 .0340 .0330 .0330 .0320 .0320 .0450
10-14 .1000 .0800 .1020 .1000 .0870 .0700 .0560 .0460 .0390 .0340 .0330 .0330 .0320 .0320 .0440
15-19 .1080 .0770 .1180 .0990 .0870 .0700 .0560 .0460 .0390 .0350 .0330 .0330 .0320 .0330 .0440
20-24 .1880 .0790 .1010 .0960 .0840 .0680 .0550 .0450 .0380 .0340 .0330 .0330 .0320 .0320 .0440
25-29 .1290 .0950 .1150 .1060 .0920 .0740 .0590 .0480 .0400 .0360 .0340 .0340 .0330 .0340 .0460
30-34 .0890 .0990 .1160 .1060 .0920 .0730 .0580 .0460 .0380 .0340 .0320 .0320 .0310 .0320 .0450
35-39 .0800 .0730 .0920 .1000 .0870 .0690 .0540 .0430 .0630 .0320 .0300 .0300 .0290 .0300 .0420
40-44 .0700 0.810 .0840 .1020 .0880 .0710 .0560 .0460 .0380 .0340 .0320 .0320 .0320 .0320 .0440
45-49 .0710 .0670 .0600 .0850 .0760 .0630 .0520 .0440 .0390 .0360 .0350 .0350 .0340 .0340 .0430
50-54 .0700 .0780 .0800 .0780 .0700 .0590 .0500 .0440 .0930 .0370 .0360 .0360 .0350 .0350 .0430
55-59 .0800 .0850 .1120 .0790 .0710 .0600 .0520 .0450 .0410 .0380 .0370 .0370 .0370 .0370 .0440
60-64 .0900 .0750 .0790 .0980 .0860 .0700 .0560 .0460 .0390 .0350 .0340 .0340 .0330 .0330 .0450
65-69 .1030 .0740 .1130 .1000 .0870 .0700 .0560 .0460 .0390 .0350 .0330 .0330 .0330 .0330 .0450
70-99 .1020 .0820 .1030 .1000 .0870 .0700 .0560 .0460 .0390 .0340 .0330 .0330 .0320 .0320 .0440

 

ATTACHMENT 6. Memo on Computer Budget for NIH Account

MEMORANDUM

DATE: May 10, 1991
TO: John Drabek
FROM: Dave Kennell, Lisa Alecxih
SUBJECT: Computer Budget for NIH Account

As you requested, we have estimated the potential computer costs for various activities that may be undertaken using the Brookings/ICF Long Term Care Financing Model during the reminder of the fiscal year. We have categorized these estimates into policy simulations, new base case development, and development and maintenance of a public use version of the model. We expect that the computer costs for the remainder of the fiscal year to total $15,000.

POLICY SIMULATIONS

During off-peak hours, each simulation of the model costs approximately $500 (if a simulation is run with replacements for the younger cohorts -- e.g., to simulate tax implications for all age groups -- the cost is approximately double). However, because we typically run the model with replacement persons and because we often need to run simulations twice, a better average costs is $1,000. Assuming we will run seven policy simulations, we estimate the policy simulation computer costs to be $7,000.

NEW BASE CASE DEVELOPMENT

We have estimated the computer costs related to developing and benchmarking a new base case under the assumption that an additional PRISM run will not be necessary. The computer costs for activities related to benchmarking are estimated to be $7,000. If it were necessary to rerun PRISM, the computer cost would increase to $15,000 for both PRISM and benchmarking.

PUBLIC USE MODEL

We estimate the development and maintenance of a public use version of the model to be approximately $200 per month, which would total $1,000 for the remainder of the fiscal year.

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