Use the data in MEAP00_01.RAW to answer this question.
(i) Estimate the model
math4 = β0 + β1unch + β2log(enroll) + β3log(exppp) + u
by OLS and obtain the usual standard errors and the fully robust standard errors. How do they generally compare?
(ii) Apply the special case of the White test for heteroskedasticity. What is the value of the F test? What do you conclude?
(iii) Obtain g. as the fitted values from the regression
where are the OLS fitted values and the ûi are the OLS residuals. Let Use the ĥi to obtain WLS estimates. Are there big differences with the OLS coefficients?
(iv) Obtain the standard errors for WLS that allow misspecification of the variance function. Do these differ much from the usual WLS standard errors?
(v) For estimating the effect of spending on math4, does OLS or WLS appear to be more precise?
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