The Effects of Trigger Events on Changes in Children's Health Insurance Coverage. E. Prior Events


Our principal findings with respect to the importance of individual trigger events in predicting changes in coverage are obtained from a logistic regression analysis that we present in the next section. The regression results are particularly useful in describing the relative strengths of individual events as predictors of changes in coverage, but they do not convey an intuitive sense of the overall importance of trigger events. To provide a context for viewing the regression results, we have prepared estimates of the frequency with which individual events and sets of events were found to have occurred in the months preceding recorded changes in health insurance coverage. After listing the events that we examined, we present these findings here. The results also give us additional information with which to assess the plausibility of some of the more surprising aspects of the transitions documented earlier.

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