问题描述:
英语翻译
5.Use the PSID1982 dataand consider the following two nonnested models
(compare with Baltagi2002,p.230):
M1 :log(wage) = _0 + _1education + _2experience+ _3experience2
+_4weeks + _5married + _6gender
+_7ethnicity + _8union + "
M2 :log(wage) = _0 + _1education + _2experience+ _3experience2
+_4weeks + _5occupation + _6south
+_7smsa + _8industry + _
(a) Compute the J tests for M1 vs.M2 and M2 vs.M1,respectively.
(b) Both M1 and M2 can beartificially nested within a larger model.Use
an F test for M1 versus this augmented model.Repeat for M2 versus
the augmented model.What do you conclude?
9.The function ivreg() frompackage AER will fit instrumental variable
(IV) regressions.Usingthe USConsump1993 data taken from Baltagi
(2002),estimate thesimple Keynesian consumption function
expendituret = _0 + _1incomet + "t
(a) by OLS.
(b) by IV.The onlyavailable instrument is investment,given by the
identity expenditure + investment= income.
(c) Compare both sets ofestimates using a Hausman test,thus replicating
Baltagi (2002,Section 11.7).What do you conclude?
5.Use the PSID1982 dataand consider the following two nonnested models
(compare with Baltagi2002,p.230):
M1 :log(wage) = _0 + _1education + _2experience+ _3experience2
+_4weeks + _5married + _6gender
+_7ethnicity + _8union + "
M2 :log(wage) = _0 + _1education + _2experience+ _3experience2
+_4weeks + _5occupation + _6south
+_7smsa + _8industry + _
(a) Compute the J tests for M1 vs.M2 and M2 vs.M1,respectively.
(b) Both M1 and M2 can beartificially nested within a larger model.Use
an F test for M1 versus this augmented model.Repeat for M2 versus
the augmented model.What do you conclude?
9.The function ivreg() frompackage AER will fit instrumental variable
(IV) regressions.Usingthe USConsump1993 data taken from Baltagi
(2002),estimate thesimple Keynesian consumption function
expendituret = _0 + _1incomet + "t
(a) by OLS.
(b) by IV.The onlyavailable instrument is investment,given by the
identity expenditure + investment= income.
(c) Compare both sets ofestimates using a Hausman test,thus replicating
Baltagi (2002,Section 11.7).What do you conclude?
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