Book contents
- Frontmatter
- 1 Approaches to testing the hypothesis of adequate specification
- 2 Inequalities between criteria for testing hypotheses in linear regression models
- 3 The Lagrange multiplier test and testing for misspecification: an extended analysis
- 4 Tests for misspecification of regression equations
- 5 Tests for misspecification of simultaneous equation models
- 6 Tests for qualitative and limited dependent variable models
- Bibliography
- Index
5 - Tests for misspecification of simultaneous equation models
Published online by Cambridge University Press: 05 January 2013
- Frontmatter
- 1 Approaches to testing the hypothesis of adequate specification
- 2 Inequalities between criteria for testing hypotheses in linear regression models
- 3 The Lagrange multiplier test and testing for misspecification: an extended analysis
- 4 Tests for misspecification of regression equations
- 5 Tests for misspecification of simultaneous equation models
- 6 Tests for qualitative and limited dependent variable models
- Bibliography
- Index
Summary
Hausman (1983) has suggested that the simultaneous equation model is perhaps the most remarkable development in econometrics. In this chapter we shall be concerned with the problem of testing the specification of such models.
YB + Z Γ = U
where Y is the n by m matrix of endogenous variables, Z is the n by k matrix of predetermined variables, U is the n by m matrix of stochastic disturbances, B is the m by m matrix of structural coefficients of endogenous variables and Γ is the k by m matrix of structural coefficients of predetermined variables.
The special case in which B is a diagonal matrix and (1.1) represents a system of seemingly unrelated regression equations (SURE) will not be given separate consideration. The corresponding simplifications of tests derived for the general case are straightforward. The tests discussed below do not, however, include a check of the assumption that the disturbances of the system are contemporaneously uncorrelated. This assumption may be of interest in the context of SURE models, and Breusch and Pagan (1980, p. 247) derive an appropriate LM statistic.
- Type
- Chapter
- Information
- Misspecification Tests in EconometricsThe Lagrange Multiplier Principle and Other Approaches, pp. 164 - 205Publisher: Cambridge University PressPrint publication year: 1989
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