《计量经济学导论》ch
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© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Multiple Regression Analysis: Specification and Data Issues
Tests for functional form misspecification One can always test whether explanatory should appear as squares or higher order terms by testing whether such terms can be excluded Otherwise, one can use general specification tests such as RESET
© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Test for the exclusion of these terms. If they cannot be exluded, this is evidence for omitted higher order terms and interactions, i.e. for misspecification of functional form.
One may also include higher order terms, which implies complicated interactions and higher order terms of all explanatory variables
RESET provides little guidance as to where misspecification comes from
Multiple Regression Analysis: Specification and Data Issues
Example: Housing price equation
Evidence for misspecification
Discussion
Less evidence for misspecification
Байду номын сангаас
© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Multiple Regression Analysis: Specification and Data Issues
Using proxy variables for unobserved explanatory variables
Example: Omitted ability in a wage equation
Regression specification error test (RESET) The idea of RESET is to include squares and possibly higher order fitted values in the regression (similarly to the reduced White test)
Define a general model that contains both models as subcases and test:
Discussion Can always be done; however, a clear winner need not emerge Cannot be used if the models differ in their definition of the dep. var.
Replace by proxy
In general, the estimates for the returns to education and experience will be biased because one has omit the unobservable ability variable. Idea: find a proxy variable for ability which is able to control for ability differences between individuals so that the coefficients of the other variables will not be biased. A possible proxy for ability is the IQ score or similar test scores.
More on Specification and Data Issues
Chapter 9
Wooldridge: Introductory Econometrics: A Modern Approach, 5e
© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Multiple Regression Analysis: Specification and Data Issues
Testing against nonnested alternatives Model 1:
Which specification is more appropriate?
Model 2:
Multiple Regression Analysis: Specification and Data Issues
Tests for functional form misspecification One can always test whether explanatory should appear as squares or higher order terms by testing whether such terms can be excluded Otherwise, one can use general specification tests such as RESET
© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Test for the exclusion of these terms. If they cannot be exluded, this is evidence for omitted higher order terms and interactions, i.e. for misspecification of functional form.
One may also include higher order terms, which implies complicated interactions and higher order terms of all explanatory variables
RESET provides little guidance as to where misspecification comes from
Multiple Regression Analysis: Specification and Data Issues
Example: Housing price equation
Evidence for misspecification
Discussion
Less evidence for misspecification
Байду номын сангаас
© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Multiple Regression Analysis: Specification and Data Issues
Using proxy variables for unobserved explanatory variables
Example: Omitted ability in a wage equation
Regression specification error test (RESET) The idea of RESET is to include squares and possibly higher order fitted values in the regression (similarly to the reduced White test)
Define a general model that contains both models as subcases and test:
Discussion Can always be done; however, a clear winner need not emerge Cannot be used if the models differ in their definition of the dep. var.
Replace by proxy
In general, the estimates for the returns to education and experience will be biased because one has omit the unobservable ability variable. Idea: find a proxy variable for ability which is able to control for ability differences between individuals so that the coefficients of the other variables will not be biased. A possible proxy for ability is the IQ score or similar test scores.
More on Specification and Data Issues
Chapter 9
Wooldridge: Introductory Econometrics: A Modern Approach, 5e
© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Multiple Regression Analysis: Specification and Data Issues
Testing against nonnested alternatives Model 1:
Which specification is more appropriate?
Model 2: