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Indicate whether the following explanations are true or false, Explain your reasoning if false and use mathematical calculations if necessary. a) Highly correlated regressors can lead OLs to fail to be the best inear unbiased estimator b) The OLs estimates (B) are inefficient because they ignore comelation between the re- gressors in their construction. c) Heteroscedasticity can be detected with the Breusch-Godfrey test. d) The Logit model can be estimated using OLS on individual data. e) Heteroscedasticity occurs when the disturbance term in a regression model is correlated with one of the explanatory variables. Multicollinearity does cause the OLS estimates of the coefficients to be biased as well as inconsistent. g The adjusted R2 can be greater than the standard R2 if the model does not have too many explanatory variables. h) R2 or adjusted R2 is one of the good indicators to compare the models with different functional forms like the log-log form versus the level-log form. quadratic term X3 will cause inconsistent estimators.
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