Hi everyone!
I am trying to use the twostepweakiv command in Stata to get weak-iv robust confidence intervals for an IV model with two endogenous regressors and two instrumental variables.
I am struggling to interpret the output of the twostepweakiv command.
For one endogenous regressor, the output does not report the upper and lower bound of the confidence interval. Only the lower bound is reported, while the upper bound is reported as "...".
For the second endogenous regressor, instead of the upper and lower bound of the confidence interval, the expression "entire grid" appears.
The command produced a full confidence set in other specifications using different endogenous regressors.
I tried to specify different values using the gridpoints() option, but the output does not seem to change.
Any help with the interpretation of this output and suggestion on how to get the command to produce a full confidence set would be extremely welcome.
Thanks a lot in advance!
I am trying to use the twostepweakiv command in Stata to get weak-iv robust confidence intervals for an IV model with two endogenous regressors and two instrumental variables.
I am struggling to interpret the output of the twostepweakiv command.
For one endogenous regressor, the output does not report the upper and lower bound of the confidence interval. Only the lower bound is reported, while the upper bound is reported as "...".
For the second endogenous regressor, instead of the upper and lower bound of the confidence interval, the expression "entire grid" appears.
HTML Code:
Projection-based inference: Variable: bigfrp25_l7d Test Conf. level Confidence Set ----------------------------------------------------------------------- LC_2sls 95% [ .000322, ... ] ----------------------------------------------------------------------- Wald 95% [ .000505, .001971] ----------------------------------------------------------------------- Wald confidence set for the parameter of interest is based on 2sls point estimate and its standard error, rather than grid search. LC test gamma_min is 5%; distortion cutoff is 11% based on the given grid, obtained by 10^6 simulation draws. Variable: bigfrp25_l7dfarm Test Conf. level Confidence Set ----------------------------------------------------------------------- LC_2sls 95% entire grid ----------------------------------------------------------------------- Wald 95% [-.004249, -.00065] ----------------------------------------------------------------------- Wald confidence set for the parameter of interest is based on 2sls point estimate and its standard error, rather than grid search. LC test gamma_min is 5%; distortion cutoff is 10% based on the given grid, obtained by 10^6 simulation draws.
The command produced a full confidence set in other specifications using different endogenous regressors.
I tried to specify different values using the gridpoints() option, but the output does not seem to change.
Any help with the interpretation of this output and suggestion on how to get the command to produce a full confidence set would be extremely welcome.
Thanks a lot in advance!