Xtlogit Robust Standard Errors. Standard errors in Stata correspond to what sandwich from the package of the same name computes. However cluster is not a required option in most non -xt- commands.
Huber and Halbert White. Mohr December 24 2018 Although heteroskedasticity does not produce biased OLS estimates it leads to a bias in the variance-covariance matrix. Aug 20 2016 Robust standard errors is a technique to obtain unbiased standard errors of OLS coefficients under heteroscedasticity.
Variation is small relative to the between-person variation the standard errors of the fixed effects coefficients may be too large to tolerate Conditional logitfixed effects models can be used for things besides Panel Studies.
Stata reports the intraclass correlation as 0636. Feb 15 2019 How to obtain robust standard error in -xtlogit fe-. The topic of heteroscedasticity-consistent standard errors arises in statistics and econometrics in the context of linear regression and time series analysis. If you check other commands eg -reg- that is what it will say.
