HI,
I would appreciate some advice regarding the suitability of conventional fixed-effects 2SLS for my panel data analysis.
My dependent variable (y) is continuous, while my potentially endogenous explanatory variable (w) is a dummy variable (0/1). My baseline regression includes firm and year fixed effects, with standard errors clustered at the firm level.
I am considering the following conventional fixed-effects 2SLS specification:
ivreghdfe y x1 x2 ... xK (w = z), /// absorb(id year) cluster(id) first endog(w)
where z is the excluded instrumental variable and x1 to xK are the control variables.
My question is whether conventional fixed-effects 2SLS is appropriate when the endogenous explanatory variable is binary (0/1), given that the first stage is linear rather than probit.
Would this specification be econometrically appropriate, with firm and year fixed effects incorporated in both stages, or would a nonlinear first-stage approach be preferable?
Thank you very much for your time and guidance.
Best regards,
Hussein Bataineh
I would appreciate some advice regarding the suitability of conventional fixed-effects 2SLS for my panel data analysis.
My dependent variable (y) is continuous, while my potentially endogenous explanatory variable (w) is a dummy variable (0/1). My baseline regression includes firm and year fixed effects, with standard errors clustered at the firm level.
I am considering the following conventional fixed-effects 2SLS specification:
ivreghdfe y x1 x2 ... xK (w = z), /// absorb(id year) cluster(id) first endog(w)
where z is the excluded instrumental variable and x1 to xK are the control variables.
My question is whether conventional fixed-effects 2SLS is appropriate when the endogenous explanatory variable is binary (0/1), given that the first stage is linear rather than probit.
Would this specification be econometrically appropriate, with firm and year fixed effects incorporated in both stages, or would a nonlinear first-stage approach be preferable?
Thank you very much for your time and guidance.
Best regards,
Hussein Bataineh

Comment