Testing for heteroscedasticity is a common diagnostic practice in regression analysis. Depending upon the outcome of the test, the model is either estimated by OLS or WLS. The results of a Monte Carlo ...
In this paper, we introduce a new identification and estimation strategy for partially linear regression models with a general form of unknown heteroscedasticity, that is, Y = X'β₀ + m(Z) + U and U = ...
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