a) Interpret the two estimated coefficients. b) The researcher finds out that some of the families in the control group received food stamps. Explain whether we can interpret the estimated OLS coefficient on F as the causal effect of food stamps on child health?

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Question 1
The government of a developing country wants to implement a program where poor
families receive food stamps that can be used to purchase prepackaged foods with high
nutritional value. The government decides to set up an experiment where 500 families
(each with 1 child) are randomly assigned to a treatment group (eligible for food stamps, T; =
1) and to a control group (ineligible for food stamps, Ti = 0). The government has hired a
researcher to investigate the effect of food stamps on the probability that a child has poor
health.
After the experiment, the researcher performs a regression of H; (a binary variable that
equals 1 if a child has poor health) on Fi (a binary variable that equals 1 if a family
received food stamps). She obtains the following OLS estimation results.
regress H F, robust
Linear regression
H
F
cons
Coef.
-.2090787
.6538462
Robust-
Std. Err.
0466629
0381663
t
-4.48
17.13
P>|t|
Number of obs =
F( 1,
Prob> F
498)
R-squared
Root MSE
0.000
0.000
500
20.08
0.0000
0.0375
.49141
[95% Conf. Interval]
-.3007592
1.5788593
-.1173983
728833
a) Interpret the two estimated coefficients.
b) The researcher finds out that some of the families in the control group received food
stamps. Explain whether we can interpret the estimated OLS coefficient on F as the
causal effect of food stamps on child health?
Transcribed Image Text:Question 1 The government of a developing country wants to implement a program where poor families receive food stamps that can be used to purchase prepackaged foods with high nutritional value. The government decides to set up an experiment where 500 families (each with 1 child) are randomly assigned to a treatment group (eligible for food stamps, T; = 1) and to a control group (ineligible for food stamps, Ti = 0). The government has hired a researcher to investigate the effect of food stamps on the probability that a child has poor health. After the experiment, the researcher performs a regression of H; (a binary variable that equals 1 if a child has poor health) on Fi (a binary variable that equals 1 if a family received food stamps). She obtains the following OLS estimation results. regress H F, robust Linear regression H F cons Coef. -.2090787 .6538462 Robust- Std. Err. 0466629 0381663 t -4.48 17.13 P>|t| Number of obs = F( 1, Prob> F 498) R-squared Root MSE 0.000 0.000 500 20.08 0.0000 0.0375 .49141 [95% Conf. Interval] -.3007592 1.5788593 -.1173983 728833 a) Interpret the two estimated coefficients. b) The researcher finds out that some of the families in the control group received food stamps. Explain whether we can interpret the estimated OLS coefficient on F as the causal effect of food stamps on child health?
The researcher decides to estimate the effect of food stamps using an instrumental
variable approach. She uses assignment to the treatment group as instrument for the
actual receipt of food stamps. She obtains the following first stage estimation results.
regress F T, robust noheader
F
T
cons
Coef.
. 624
.376
Robust
Std. Err.
.0306963
. 0306963
t
E [Hi/Ti = x]
E[Fi/Ti = x]
20:33
12.25
P>|t|
Ti = 1
0.476
1
0.000
0.000
[95% Conf. Interval]
c) Do you think that the instrument relevance condition holds? Is T'a weak instru- ment?
d) Do you think that the instrument exogeneity condition holds?
e) The following table shows the averages of Hi and Fi for those assigned to treatment
group (T; = 1) and for those assigned to the control group (T; = 1). Use the results in
the table below to obtain the instrumental variable estimate of the effect of food
stamps on the probability that a child has poorhealth.
Ti = 0
0.544
0.376
. 5636897
3156897
.6843103
.4363103
Transcribed Image Text:The researcher decides to estimate the effect of food stamps using an instrumental variable approach. She uses assignment to the treatment group as instrument for the actual receipt of food stamps. She obtains the following first stage estimation results. regress F T, robust noheader F T cons Coef. . 624 .376 Robust Std. Err. .0306963 . 0306963 t E [Hi/Ti = x] E[Fi/Ti = x] 20:33 12.25 P>|t| Ti = 1 0.476 1 0.000 0.000 [95% Conf. Interval] c) Do you think that the instrument relevance condition holds? Is T'a weak instru- ment? d) Do you think that the instrument exogeneity condition holds? e) The following table shows the averages of Hi and Fi for those assigned to treatment group (T; = 1) and for those assigned to the control group (T; = 1). Use the results in the table below to obtain the instrumental variable estimate of the effect of food stamps on the probability that a child has poorhealth. Ti = 0 0.544 0.376 . 5636897 3156897 .6843103 .4363103
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