Question

In: Statistics and Probability

For this assignment, we will replicate the DD study by Gruber & Poterba (1994) [`a la...

For this assignment, we will replicate the DD study by Gruber & Poterba (1994) [`a la Donald & Lang, 2007]. In their study, they estimate the impact of TRA86 on health insurance take-up of ‘self-employed’ workers. The policy intervention they use is a tax subsidy on health insurance purchase for the self-employed introduced in the Tax Reform Act of 1986. There treatment group are the self-employed workers and their control group are the other workers who are employed. In particular, they look at the aggregate insurance rates of these two groups.

Table 1: Aggregate Insurance Rates

Year Self-Employed Employed

1982 68.9 88.6

1983 72.0 88.9

1984 68.9 88.1

1985 68.6 88.0

1986 70.1 88.0

1987 76.1 86.8

1988 73.2 86.1

1989 73.5 84.5

Source: Table IV of GP1994

Question:

Write out a DD regression equation which would include all the years. Run this regression and explain the difference from Question 1. [Hint: create a dummy variable for pre- and post-TRA86]

Data for Analysis is below:

Group Year Insurance_Rate Group_Dummy Time_Dummy Group_Time_Dummy
Self_emp 1982 68.9 1 0 0
Self_emp 1983 72 1 0 0
Self_emp 1984 68.9 1 0 0
Self_emp 1985 68.6 1 0 0
Self_emp 1986 70.1 1 0 0
Self_emp 1987 76.1 1 1 1
Self_emp 1988 73.2 1 1 1
Self_emp 1989 73.5 1 1 1
Employed 1982 88.6 0 0 0
Employed 1983 88.9 0 0 0
Employed 1984 88.1 0 0 0
Employed 1985 88 0 0 0
Employed 1986 88 0 0 0
Employed 1987 86.8 0 1 0
Employed 1988 86.1 0 1 0
Employed 1989 84.5 0 1 0

Solutions

Expert Solution

The DD regression equation is:

y = 91.9867 - 21.2867*x1 - 1.1867*x2 + 7.0867*x3 - 0.3333*t

The time variable is included in the model. The regression analysis is:

0.987
Adjusted R² 0.983
R   0.994
Std. Error   1.120
n   16
k   4
Dep. Var. Insurance_Rate
ANOVA table
Source SS   df   MS F p-value
Regression 1,072.8814 4   268.2203 213.67 2.40E-10
Residual 13.8080 11   1.2553
Total 1,086.6894 15  
Regression output confidence interval
variables coefficients std. error    t (df=11) p-value 95% lower 95% upper
Intercept 91.9867
Group_Dummy -21.2867 1.9620 -10.849 3.25E-07 -25.6050 -16.9683
Time_Dummy -1.1867 1.2273 -0.967 .3544 -3.8880 1.5147
Group_Time_Dummy 7.0867 1.1571 6.124 .0001 4.5398 9.6335
t -0.3333 0.2287 -1.458 .1729 -0.8367 0.1700

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