Question

in the presence of heteroscedasticity the ols estimators are

Answer 1

Hello dear....☺☺☺☺☺☺


In the presence of heteroscedasticity the usual OLS method always overestimates the standard errors of estimators. d. If residuals estimated from an OLS regression exhibit a systematic pattern, it means heteroscedasticity is present in the data.




i hope help u...☺☺☺☺

Answer 2

Answer:

Consequences of Heteroscedasticity

• The OLS estimators and regression predictions based on them remains unbiased and consistent. ..

• The OLS estimators are no longer the BLUE (Best Linear Unbiased Estimators) because they are no longer efficient, so the regression predictions will be inefficient too.