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book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

Edition 4ISBN: 978-0324660609
book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

Edition 4ISBN: 978-0324660609
Exercise 9
In Example 8.7, we computed the OLS and a set of WLS estimates in a cigarette demand equation.
(i) Obtain the OLS estimates in equation.
(ii) Obtain the i used in the WLS estimation of equation and reproduce equation. From this equation, obtain the unweighted residuals and fitted values; call these ui and yi , respectively. (For example, in Stata, the unweighted residuals and fitted values are given by default.)
(iii) Let In Example 8.7, we computed the OLS and a set of WLS estimates in a cigarette demand equation. (i) Obtain the OLS estimates in equation. (ii) Obtain the i used in the WLS estimation of equation and reproduce equation. From this equation, obtain the unweighted residuals and fitted values; call these ui and yi , respectively. (For example, in Stata, the unweighted residuals and fitted values are given by default.) (iii) Let   . be the weighted quantities. Carry out the special case of the White test for heteroskedasticity by regressing   being sure to include an intercept, as always. Do you find heteroskedasticity in the weighted residuals  (iv) What does the finding from part (iii) imply about the proposed form of heteroske-dasticity used in obtaining (8.36)  (v) Obtain valid standard errors for the WLS estimates that allow the variance function to be misspecified. Equation    Equation  . be the weighted quantities. Carry out the special case of the White test for heteroskedasticity by regressing In Example 8.7, we computed the OLS and a set of WLS estimates in a cigarette demand equation. (i) Obtain the OLS estimates in equation. (ii) Obtain the i used in the WLS estimation of equation and reproduce equation. From this equation, obtain the unweighted residuals and fitted values; call these ui and yi , respectively. (For example, in Stata, the unweighted residuals and fitted values are given by default.) (iii) Let   . be the weighted quantities. Carry out the special case of the White test for heteroskedasticity by regressing   being sure to include an intercept, as always. Do you find heteroskedasticity in the weighted residuals  (iv) What does the finding from part (iii) imply about the proposed form of heteroske-dasticity used in obtaining (8.36)  (v) Obtain valid standard errors for the WLS estimates that allow the variance function to be misspecified. Equation    Equation  being sure to include an intercept, as always. Do you find heteroskedasticity in the weighted residuals
(iv) What does the finding from part (iii) imply about the proposed form of heteroske-dasticity used in obtaining (8.36)
(v) Obtain valid standard errors for the WLS estimates that allow the variance function to be misspecified.
Equation In Example 8.7, we computed the OLS and a set of WLS estimates in a cigarette demand equation. (i) Obtain the OLS estimates in equation. (ii) Obtain the i used in the WLS estimation of equation and reproduce equation. From this equation, obtain the unweighted residuals and fitted values; call these ui and yi , respectively. (For example, in Stata, the unweighted residuals and fitted values are given by default.) (iii) Let   . be the weighted quantities. Carry out the special case of the White test for heteroskedasticity by regressing   being sure to include an intercept, as always. Do you find heteroskedasticity in the weighted residuals  (iv) What does the finding from part (iii) imply about the proposed form of heteroske-dasticity used in obtaining (8.36)  (v) Obtain valid standard errors for the WLS estimates that allow the variance function to be misspecified. Equation    Equation
Equation In Example 8.7, we computed the OLS and a set of WLS estimates in a cigarette demand equation. (i) Obtain the OLS estimates in equation. (ii) Obtain the i used in the WLS estimation of equation and reproduce equation. From this equation, obtain the unweighted residuals and fitted values; call these ui and yi , respectively. (For example, in Stata, the unweighted residuals and fitted values are given by default.) (iii) Let   . be the weighted quantities. Carry out the special case of the White test for heteroskedasticity by regressing   being sure to include an intercept, as always. Do you find heteroskedasticity in the weighted residuals  (iv) What does the finding from part (iii) imply about the proposed form of heteroske-dasticity used in obtaining (8.36)  (v) Obtain valid standard errors for the WLS estimates that allow the variance function to be misspecified. Equation    Equation
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Introductory Econometrics 4th Edition by Jeffrey Wooldridge
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