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

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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