Consider that you want to apply the difference-in-differences approach to evaluate the Health Insurance Subsidy Program (HISP). In this scenario, you have two rounds of data on two groups of households: one group that enrolled in the program, and another that did not. You know that you cannot compare the average health expenditures of the two groups because of selection bias, thus you decide to compare change in health expenditures as follows: Table 7.2 Evaluating HISP: Difference-in-Differences Comparison of Means After Before (follow-up) (baseline) Difference Enrolled 7.84 14.49 -6.65 Nonenrolled 22.30 20.79 1.51

EBK HEALTH ECONOMICS AND POLICY
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Chapter6: Population Health
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Consider that you want to apply the difference-in-differences approach to evaluate the
Health Insurance Subsidy Program (HISP). In this scenario, you have two rounds of data
on two groups of households: one group that enrolled in the program, and another that
did not. You know that you cannot compare the average health expenditures of the two
groups because of selection bias, thus you decide to compare change in health
expenditures as follows:
Table 7.2 Evaluating HISP: Difference-in-Differences Comparison of Means
After
Before
(baseline)
(follow-up)
Difference
Enrolled
7.84
14.49
-6.65
Nonenrolled
22.30
20.79
1.51
Difference
DD = -6.65 – 1.51 = -8.16
Note: The table presents mean household health expenditures (in dollars) for enrolled and
nonenrolled households, before and after the introduction of HISP.
How should you interpret this difference ($USD -8.16)? What are the basic assumptions
required to accept this result from difference-in-differences?
Transcribed Image Text:Consider that you want to apply the difference-in-differences approach to evaluate the Health Insurance Subsidy Program (HISP). In this scenario, you have two rounds of data on two groups of households: one group that enrolled in the program, and another that did not. You know that you cannot compare the average health expenditures of the two groups because of selection bias, thus you decide to compare change in health expenditures as follows: Table 7.2 Evaluating HISP: Difference-in-Differences Comparison of Means After Before (baseline) (follow-up) Difference Enrolled 7.84 14.49 -6.65 Nonenrolled 22.30 20.79 1.51 Difference DD = -6.65 – 1.51 = -8.16 Note: The table presents mean household health expenditures (in dollars) for enrolled and nonenrolled households, before and after the introduction of HISP. How should you interpret this difference ($USD -8.16)? What are the basic assumptions required to accept this result from difference-in-differences?
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