With Panel Data, if we assume that the individual effects vi are not correlated with the regressors Xit (i.e. E(vi|Xit) = 0), which one of the following statements is correct: The Fixed Effects estimator is not consistent. Both the OLS and the Random Effects estimators are not consistent. The OLS estimator is not consistent, but the Random Effects estimator is consistent. The OLS and the Random Effects estimator are consistent. All of the above. None of the above

With Panel Data, if we assume that the individual effects vi are not correlated with the regressors Xit (i.e. E(vi|Xit) = 0), which one of the following statements is correct: The Fixed Effects estimator is not consistent. Both the OLS and the Random Effects estimators are not consistent. The OLS estimator is not consistent, but the Random Effects estimator is consistent. The OLS and the Random Effects estimator are consistent. All of the above. None of the above

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4A: Problems In Applying The Linear Regression Model

Section: Chapter Questions

Problem 5E

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Explain Standard errors for TSLS (two stage least squares)?
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Consider the following formula: y i - ( β 0 ^ + β 1 ^ x i ) . What does this formula describe? OLS slope estimator Error term Causal effect of x on y residual
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Nadya is worried about poor people disproportionately exposed to pollution. She suggests the model where pollution in the area is regressed on average housing price in that area, and the number of pro-environmental voters in the area. She also knows that housing price in the area depends on pollution in the area, and the number of good schools in this area. Assuming that all the variables are significant and there are no other omitted variables affecting the dependent variables, can Nadya use Indirect Least Squares in this setting? O True O False
When the regression error is heteroskedastic, all of the following statements are false, with the exception of: a. the conditional variance of the error term is not constant. b. the OLS estimator is unbiased but not consistent. C. the OLS estimator is still BLUE.
Using Y as the dependent variable and X1, X2, X3, X4 and X5 as the explanatoryvariables, formulate an econometric model for data that is (i) time series data (ii)cross-sectional data and (iii) panel data – (Hint: please specify the specific model herenot its general form).

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		The Fixed Effects estimator is not consistent.
		Both the OLS and the Random Effects estimators are not consistent.
		The OLS estimator is not consistent, but the Random Effects estimator is consistent.
		The OLS and the Random Effects estimator are consistent.
		All of the above.
		None of the above