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said to be: exactly identified or overidentified In a two stage least regression which standard errors are used: clusterd, heteroskedasticity robust, or heteroskedasticity and autocorrelation-consistent

said to be: exactly identified or overidentified
In a two stage least regression which standard errors are used: clusterd, heteroskedasticity robust, or heteroskedasticity and autocorrelation-consistent (HAC)
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Suppose m denotes the number of instruments and k denotes the number of endogenous regressors in an IV regression model. The regression coefficients of the model are said to be when k

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