Use the data in PHILLIPS.RAW to answer these questions.
(i) Using the entire data set, estimate the static Phillips curve equation inf1 = β0 + β1 unemt + ut by OLS and report the results in the usual form.
(ii) Obtain the OLS residuals from part (i), ût, and obtain p from the regression ût on ût-1. (It is fine to include an intercept in this regression.) Is there strong evidence of serial correlation?
(iii) Now estimate the static Phillips curve model by iterative Prais-Winsten. Compare the estimate of β1 with that obtained in Table 12.2. Is there much difference in the estimate when the later years are added?
(iv) Rather than using Prais-Winsten, use iterative Cochrane-Orcutt. How similar are the final estimates of p? How similar are the PW and CO estimates of β1?
Dependent Variable: inf

We need at least 10 more requests to produce the solution.
0 / 10 have requested this problem solution
The more requests, the faster the answer.