I am developing a causal model using 2 period panel data with a strong suspicion of endogeneity. xtreg, fe seems a natural choice but for the skewed dependent variable. When checking "methods and formulas" for xtreg,fe in xt.pdf p. 421 in the Stata 14 version), I see that
"xtreg, fe produces estimates by running OLS on a model with the dependent variable
(yit yi + y) " (in words y sub it minus panel mean + grand total mean). This latter expression has no skew at all according to summarize, detail. So is it correct to assume no skew so xtreg is potentially an appropriate algorithm, or should one assume skewness as in the dependent variable of interest to me as a researcher, and therefore look for a different xt algorithm?
"xtreg, fe produces estimates by running OLS on a model with the dependent variable
(yit yi + y) " (in words y sub it minus panel mean + grand total mean). This latter expression has no skew at all according to summarize, detail. So is it correct to assume no skew so xtreg is potentially an appropriate algorithm, or should one assume skewness as in the dependent variable of interest to me as a researcher, and therefore look for a different xt algorithm?
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