Finite-sample distributions of the OLS estimator and t-statistics are complicated, unless a. the regressors are all normally distributed.
b. the regression errors are homoskedastic and normally distributed, conditional on $X _ { 1 } , \ldots , X _ { n }$
c. the Gauss-Markov Theorem applies.
d. the regressor is also endogenous.

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The Answer of Finite-sample distributions of the OLS estimator and t-statistics are complicated, unless a. the regressors are all normally distributed.
b. the regression errors are homoskedastic and normally distributed, conditional on $X _ { 1 } , \ldots , X _ { n }$
c. the Gauss-Markov Theorem applies.
d. the regressor is also endogenous.

Finite-Sample Distributions of the OLS Estimator and T-Statistics Are Complicated X1,…,XnX _ { 1 } , \ldots , X _ { n }X1​,…,Xn​

Finite-Sample Distributions of the OLS Estimator and T-Statistics Are Complicated $X _ { 1 } , \ldots , X _ { n }$