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The Hausman test can be used to choose between two estimators where one is less efficient but consistent under both alternatives whereas the other is more efficient but only consistent under the null hypothesis.

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How to deal with omitted dummy variables in a fixed effect model?

I am using a fixed effect model for my panel data (9 years, 1000+ obs), since my Hausman test indicates a value $(Pr>\chi^2)<0.05$. …
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