Download “jtrain.dta” from Canvas. It contains data for 157 companies observed over two years (1987 and 1988). This dataset is originally from the Wooldridge website (http://fmwww.bc.edu/ec-p/data/wooldridge/jtrain.des), with 1989 observations dropped. All variable definitions can be found on the website. I have generated a variable “treatment” that equals one if the firm has received or will receive a government grant (it is the same for two years) for employee training.
The same DID analysis can be conducted using the panel nature of this data. (Hint: You only need to replace the “treatment” fixed effect with the fixed effects for each firm, leaving the year fixed effect and the interaction term unchanged.)
(Note that the first-stage regression is the DID analysis in question 1. The “cgrant” variable is the same as the interaction term in DID. This is an example of IV with DID as the first stage. The reduced form regression is actually another DID analysis.)
In the following hypothetical studies, identified 1) the appropriate model(s) to be used; 2) what marginal effects should be reported; 3) the mathematical expression for the marginal effects on observation i; 4) the Stata command that produces each marginal effect.
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