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(b) Indicate whether you agree or disagree with each of the following statements and provide a brief justification for your answer. (i) "If the hypothesis that 0₁ = ₂ = 0 is rejected, it is advisable to use OLS with heteroskedasticity-consistent standard errors". (ii) "If the hypothesis that 01 = ₂ = 0 is rejected, a natural response is not to use an estimator other than OLS but to change the specification of the model". (iii) "If 0₁ = 0₂ = 0 and var(e) = o² exp(X), Bo and 3₁ should be estimated by OLS in the model (Y/X₂) = B(1/X₂)+3₁ +₂". (iv) “OLS estimates of the coefficients of the model Y₁ = Bo + 3₁X₁ +4₂₁ are accurate even if the true model is Y₁ = 30 + ³₂X₁ + B₂X² + €².

(b) Indicate whether you agree or disagree with each of the following statements and provide a brief justification for your answer. (i) "If the hypothesis that 0₁ = ₂ = 0 is rejected, it is advisable to use OLS with heteroskedasticity-consistent standard errors". (ii) "If the hypothesis that 01 = ₂ = 0 is rejected, a natural response is not to use an estimator other than OLS but to change the specification of the model". (iii) "If 0₁ = 0₂ = 0 and var(e) = o² exp(X), Bo and 3₁ should be estimated by OLS in the model (Y/X₂) = B(1/X₂)+3₁ +₂". (iv) “OLS estimates of the coefficients of the model Y₁ = Bo + 3₁X₁ +4₂₁ are accurate even if the true model is Y₁ = 30 + ³₂X₁ + B₂X² + €².

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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i need help with section b

2. Consider the linear regression model Y = Bo+3X, tu t=1,2,..., n. where X, 0 is a non-stochastic variable and u is a random error term such that E(u) = 0 for all t. (a) Suppose that u = 0₁4-1+0₂-2+, where 1 and 2 are known parameters and , are random variables such that E() = 0 for all t, var(t) = o² > 0 for all t, and cov(et, Es) = 0 for all t + s. (i) What are the statistical properties of the ordinary least squares (OLS) estimators of 30 and 3₁? Explain. (ii) Is it possible to find estimators of 50 and 3₁ which are more efficient than the OLS estimators? If so, explain how to estimate 3 and 3₁ effi- ciently. Include in your answer a careful explanation of why your proposed estimation method would produce efficient estimates. (iii) Is a conventional OLS-based t-test for the hypothesis that 3₁ = 0 valid? If not, explain how to carry out a valid test of the hypothesis that 3₁ = 0. (iv) What do the hypotheses Ho: 1 = 2 = 0 and H₁: 01 70 and/or 02 #0 imply about the regression errors ? Explain in detail how to test Ho against H, using the Breusch-Godfrey procedure. (b) Indicate whether you agree or disagree with each of the following statements and provide a brief justification for your answer. (i) "If the hypothesis that 1 = 2 = 0 is rejected, it is advisable to use OLS with heteroskedasticity-consistent standard errors". (ii) "If the hypothesis that 01 = 2 = 0 is rejected, a natural response is not to use an estimator other than OLS but to change the specification of the model". (iii) "If 01 = 2 = 0 and var(t) = o² exp(X), 30 and 31 should be estimated by OLS in the model (Y/X₂) - Bo(1/X₁) + B₁ + e₂". (iv) "OLS estimates of the coefficients of the model Y₁ = Bo + B₁X₁ +₁ are accurate even if the true model is Y₁ = Bo + B₁X + B₂X² + εi".
Transcribed Image Text:2. Consider the linear regression model Y = Bo+3X, tu t=1,2,..., n. where X, 0 is a non-stochastic variable and u is a random error term such that E(u) = 0 for all t. (a) Suppose that u = 0₁4-1+0₂-2+, where 1 and 2 are known parameters and , are random variables such that E() = 0 for all t, var(t) = o² > 0 for all t, and cov(et, Es) = 0 for all t + s. (i) What are the statistical properties of the ordinary least squares (OLS) estimators of 30 and 3₁? Explain. (ii) Is it possible to find estimators of 50 and 3₁ which are more efficient than the OLS estimators? If so, explain how to estimate 3 and 3₁ effi- ciently. Include in your answer a careful explanation of why your proposed estimation method would produce efficient estimates. (iii) Is a conventional OLS-based t-test for the hypothesis that 3₁ = 0 valid? If not, explain how to carry out a valid test of the hypothesis that 3₁ = 0. (iv) What do the hypotheses Ho: 1 = 2 = 0 and H₁: 01 70 and/or 02 #0 imply about the regression errors ? Explain in detail how to test Ho against H, using the Breusch-Godfrey procedure. (b) Indicate whether you agree or disagree with each of the following statements and provide a brief justification for your answer. (i) "If the hypothesis that 1 = 2 = 0 is rejected, it is advisable to use OLS with heteroskedasticity-consistent standard errors". (ii) "If the hypothesis that 01 = 2 = 0 is rejected, a natural response is not to use an estimator other than OLS but to change the specification of the model". (iii) "If 01 = 2 = 0 and var(t) = o² exp(X), 30 and 31 should be estimated by OLS in the model (Y/X₂) - Bo(1/X₁) + B₁ + e₂". (iv) "OLS estimates of the coefficients of the model Y₁ = Bo + B₁X₁ +₁ are accurate even if the true model is Y₁ = Bo + B₁X + B₂X² + εi".
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