Specification Tests in Econometrics

Тесты спецификации в эконометрике
Jerry A. Hausman
1978-11-01

asymptotically efficient estimatorinstrumental variable testlocal powersimultaneous equation modelspecification tests
Using the result that under the null hypothesis of no misspecification an asymptotically efficient estimator must have zero asymptotic covariance with its difference from a consistent but asymptotically inefficient estimator, specification tests are devised for a number of model specifications in econometrics. Local power is calculated for small departures from the null hypothesis. An instrumental variable test as well as tests for a time series cross section model and the simultaneous equation model are presented. An empirical model provides evidence that unobserved individual factors are present which are not orthogonal to the included right-hand-side variable in a common econometric specification of an individual wage equation.
1
An empirical wage-equation application finds unobserved individual factors that are correlated with an included right-hand-side variable.
2
Specification tests are derived from the zero asymptotic covariance between an efficient estimator and its difference from a consistent but inefficient estimator under correct specification.
3
The empirical evidence indicates misspecification in a common econometric model of individual wages due to non-orthogonal unobserved individual effects.
4
The framework calculates local power for small departures from the null hypothesis of no misspecification.
5
The tests are developed for instrumental-variable models, time-series cross-section models, and simultaneous-equation models.

Econometric model specifications, including instrumental-variable, time-series cross-section, simultaneous-equation, and individual wage equation models

Specification testing for misspecification, including asymptotic covariance conditions, local power, and detection of correlated unobserved individual factors

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1978-11-01
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Jerry A. Hausman
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