”Robust” standard errors is a technique to obtain unbiased standard errors of OLS coefficients under heteroscedasticity. In contrary to other statistical software, such as R for instance, it is rather simple to calculate robust standard errors in STATA. All you need to is add the option ` robust `

to you regression command. That is:

`regress y x, robust `

Below you find a working example that shows you how the option works

clear all import excel using "https://economictheoryblog.files.wordpress.com/2016/08/data.xlsx",first
*create an interaction term
gen interaction = lag_calories*lag_cycling
*OLS with heteroscedasticity consistent standard errors
regress weight lag_calories lag_cycling interaction, robust

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