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e-in-differences estimator Consider the following general model that can be used to analyze the effect of a treatment on the treatment group relative to a control group, where the data set is a pooled cross section from one time period before the treatment and one time period after the treatment: y Po+ 6o d2 +Pi dTr + di d2 dT + other factors where, for a control group C and a treatment group T: dT -1 for those in the treatment, and 0 otherwise d2 -1 for the second, post-treatment time period, and 0 otherwise other factors = a set of other independent variables that influence the dependent variable True or False: A simple way of estimating the difference-in-differences estimator, without running the actual regression, is B- (G27-.1)-(52c-5.c), where the bar denotes the average. The first subscript denotes the time period, with 1 corresponding to the time period before the treatment and 2 corresponding to the time period after the treatment. The second subscript denotes the group, with T corresponding to the treatment group and C corresponding to the control group. True False

e-in-differences estimator Consider the following general model that can be used to analyze the effect of a treatment on the treatment group relative to a control group, where the data set is a pooled cross section from one time period before the treatment and one time period after the treatment: y Po+ 6o d2 +Pi dTr + di d2 dT + other factors where, for a control group C and a treatment group T: dT -1 for those in the treatment, and 0 otherwise d2 -1 for the second, post-treatment time period, and 0 otherwise other factors = a set of other independent variables that influence the dependent variable True or False: A simple way of estimating the difference-in-differences estimator, without running the actual regression, is B- (G27-.1)-(52c-5.c), where the bar denotes the average. The first subscript denotes the time period, with 1 corresponding to the time period before the treatment and 2 corresponding to the time period after the treatment. The second subscript denotes the group, with T corresponding to the treatment group and C corresponding to the control group. True False

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter4: Calculating The Derivative
Section4.CR: Chapter 4 Review
Problem 88CR
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4. Difference-in-differences estimator II Consider the following general model that can be used to analyze the effect of a treatment on the treatment group relative to a control group, where the data set is a pooled cross section from one time period before the treatment and one time period after the treatment: y = po + 6o d2 + Pi dT + õi d2 dT + other factors where, for a control group C and a treatment group T: dT =1 for those in the treatment, and -0 otherwise d2 =1 for the second, post-treatment time period, and =0 otherwise other factors = a set of other independent variables that influence the dependent variable True or False: A simple way of estimating the difference-in-differences estimator, without running the actual regression, is ổ = (52r-7.r) - (G2c-.c), where the bar denotes the average. The first subscript denotes the time period, with 1 corresponding to the time period before the treatment and 2 corresponding to the time period after the treatment. The second subscript denotes the group, with T corresponding to the treatment group and C corresponding to the control group. True O False
Transcribed Image Text:4. Difference-in-differences estimator II Consider the following general model that can be used to analyze the effect of a treatment on the treatment group relative to a control group, where the data set is a pooled cross section from one time period before the treatment and one time period after the treatment: y = po + 6o d2 + Pi dT + õi d2 dT + other factors where, for a control group C and a treatment group T: dT =1 for those in the treatment, and -0 otherwise d2 =1 for the second, post-treatment time period, and =0 otherwise other factors = a set of other independent variables that influence the dependent variable True or False: A simple way of estimating the difference-in-differences estimator, without running the actual regression, is ổ = (52r-7.r) - (G2c-.c), where the bar denotes the average. The first subscript denotes the time period, with 1 corresponding to the time period before the treatment and 2 corresponding to the time period after the treatment. The second subscript denotes the group, with T corresponding to the treatment group and C corresponding to the control group. True O False
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