Content by Keyword: Healthcare/Long-Term Care Financing

Per capita measures of state government expenditures are used to investigate how per capita health expenditure affects state government finances for the period 1992-2004. Table 14 provides descriptive statistics for these variables. The changes over time in the outcomes and also in per capita health care expenditure are now analyzed for each of

First, a cross-sectional analysis is carried out using data from all 50 states for the year 2004 – the most recent year for which data are available on the variables in the analysis. Table 12 provides descriptive statistics for these variables.

Finally, state level data across several years are used to investigate how rising health care costs affect state government finances. As for the analysis involving aggregate economic indicators, the measure of health care cost is per capita health expenditure, and the specific outcomes examined are per capita state government expenditures on healt

Finally, the estimates from the full model (reported in columns (7) – (9) of Table 10) are used to predict the percentage changes in employment and value added that would have occurred for a slower (zero growth) or faster (3% per annum) growth in health care costs compared to the actual, observed growth of 2% per annum. These predictions are gen

To further build upon the graphical analysis presented above, multivariate regression models were estimated. The key explanatory variable in the model is the interaction between the log of medical care price index and benefit share in 1987.

It is expected that industries with a larger share of benefits in total compensation will be affected more by the growth in health care costs. Table 9 provides a detailed list of industries by quartiles of the benefit share in total compensation in 1987.

Standard economic models predict that an increase in employee health care costs would be financed by an equivalent reduction in cash wages (Summers, 1989; Gruber, 1994). In this model, total compensation remains unchanged even if health care costs rise, and health care cost inflation has no effect on employment or output.

For the longitudinal analysis, data on all 50 states over a period of 20 years (1985-2004) are used to examine how the increase in per capita health expenditure affects per capita GSP and unemployment rate. Table 5 provides descriptive statistics for these variables.

We first use data on all 50 states for the year 2004 (the most recent year for which these data are available) and examine the association between health care costs and aggregate economic indicators including per capita gross state product (GSP) and unemployment rate.  Table 3 provides descriptive statistics for these variables.

First, state level data across several years are used to investigate the effect of rising health care costs on aggregate economic indicators. The measure of health care cost is per capita health expenditure, and the specific outcomes examined are per capita gross state product and state unemployment rate.

This section analyzes how health care cost growth affects the economy using available secondary data from a variety of sources. The quantitative analysis described below examines effects on three sectors: aggregate economic indicators, industries, and state governments. The analyses involving aggregate economic indicators and state government fina

As spending on health care accounts for a higher percentage of GDP, the health sector is a major and rapidly growing source of employment for U.S. workers.  According to the Bureau of Labor Statistics (2006), and as shown in Table 2 below, the health care sector employed over 10 million workers in 2006.  Over the period 1998 to 2006, employment

There is some evidence that rising health care expenditures have led to a rise in uninsurance rates among U.S. households.  Evidence from recent surveys also indicates that a significant proportion of consumers, especially the uninsured, are burdened by debt due to medical bills and sometimes forego needed medical care and other spending due to h

Rapid growth in health insurance premiums also affects households.  Firms faced with rising health care costs may limit wage increases, reduce health insurance benefits or require employees to pay a greater share of costs, or increase the number of hours worked (Goldman, Sood & Leibowitz, 2005; Cutler and Madrian 1996).  Goldman, Sood &

The share of health care expenditures borne by federal, state and local governments has increased over time. There is some evidence that governments are cutting down on health expenditures by reducing reimbursement to providers, increasing patient cost sharing, reducing eligibility and generosity of public insurance and reducing expenditures on ot

For many years, the public sector has faced health care costs that are rising more rapidly than revenues.

There is little empirical research on how health care costs affect profits, revenues, output, or competitiveness of U.S. employers. There is some evidence that rising health care costs can lead to a decline in employment.Economists are divided in their opinion as to how health spending growth affects wages, employment, and output.

In the U.S., the private sector bears a large part of the burden of rapidly rising health care costs because about three-fifths of all Americans have employer-sponsored health insurance. The popularity of employer provided insurance in the US partly stems from the fact that employer contributions to health insurance premiums are exempt from income

Anecdotal evidence suggests that rising health care costs have a negative effect on the U.S. economy. However, there are no empirically rigorous studies that have examined the causal impact of health care cost growth on aggregate economic outcomes. Studies that examine the association between per capita income or GDP and health care costs almost a

By 2014, 18.7% of GDP could be spent on health care (Heffler et al., 2005); this could rise to 27% of GDP by 2040 (Warshawsky, 1999). Is such a high share of spending on health care affordable or sustainable?