Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-24T10:12:44.790Z Has data issue: false hasContentIssue false

COVARIANCE MATRIX ESTIMATION AND THE LIMITING BEHAVIOR OF THE OVERIDENTIFYING RESTRICTIONS TEST IN THE PRESENCE OF NEGLECTED STRUCTURAL INSTABILITY

Published online by Cambridge University Press:  24 September 2003

Alastair R. Hall
Affiliation:
North Carolina State University
Atsushi Inoue
Affiliation:
North Carolina State University
Fernanda P.M. Peixe
Affiliation:
University of Evora

Abstract

We consider the limiting behavior of the overidentifying restrictions test in the presence of neglected structural instability at a single “break point.” It is shown that the test need not be consistent against this type of misspecification. If it is consistent then it emerges that the limiting behavior of this test statistic depends on the covariance matrix estimator employed. In this paper we consider the case in which a heteroskedasticity autocorrelation covariance (HAC) is used. It is shown that (i) if the HAC estimator is based on uncentered autocovariances then the overidentifying restrictions test diverges at rate T/bT where T is the sample size and bT is the bandwidth; (ii) if the HAC estimator is based on centered autocovariances then the rate of increase of the overidentifying restrictions test is either T/bT or T depending on the form of the instability. These results are used to provide conditions for the consistency of the method of moment selection of Andrews (1999, Econometrica 67, 543–564) when certain elements of the candidate set of moments are misspecified as a result of neglected structural instability.This work was begun while Hall was a Senior Research Fellow and Peixe was a graduate student at the Department of Economics, University of Birmingham, UK, and this support is gratefully acknowledged. Peixe also gratefully acknowledges financial support from FCT under Grant PRAXIS XXI/BD/13453/97. We are very grateful for the very useful comments of Don Andrews and two anonymous referees.

Type
Research Article
Copyright
© 2003 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Andrews, D.W.K. (1991) Heteroscedasticity and autocorrelation consistent covariance matrix estimation. Econometrica 59, 817858.Google Scholar
Andrews, D.W.K. (1993) Tests for parameter instability and structural change with unknown change point. Econometrica 61, 821856.Google Scholar
Andrews, D.W.K. (1999) Consistent moment selection procedures for generalized method of moments estimation. Econometrica 67, 543564.Google Scholar
Andrews, D.W.K. & R. Fair (1988) Inference in econometric models with structural change. Review of Economic Studies 55, 615640.Google Scholar
Gallant, A.R. (1987) Nonlinear Statistical Models. New York: Wiley.
Gallant, A.R. & H. White (1988) A Unified Theory of Estimation and Inference in Nonlinear Models. Oxford: Basil Blackwell.
Ghysels, E., A. Guay & A.R. Hall (1997) Predictive test for structural change with unknown breakpoint. Journal of Econometrics 82, 209233.Google Scholar
Ghysels, E., & A.R. Hall (1990) A test for structural stability of Euler condition parameters estimated via the generalized method of moments. International Economic Review 31, 355364.Google Scholar
Hall, A.R. (2000) Covariance matrix estimation and the power of the overidentifying restrictions test. Econometrica 68, 15171528.Google Scholar
Hall, A.R., & A. Inoue (2003) The large sample behaviour of the generalized method of moments estimator in misspelled models. Journal of Econometrics 114, 361394.Google Scholar
Hall, A.R., & A. Sen (1999) Structural stability testing in models estimated by generalized method of moments. Journal of Business and Economic Statistics 17, 335348.Google Scholar
Hansen, L.P. (1982) Large sample properties of generalized method of moments estimators. Econometric 50, 10291054.Google Scholar
Horn, R.A., & C.R. Johnson (1985) Matrix Analysis. Cambridge: Cambridge University Press.
Newey, W.K., & D.L. McFadden (1994) Large sample estimation and hypothesis testing. In R. Engle and D.L. McFadden (eds.), Handbook of Econometrics, vol. 4, pp. 21132247. Amsterdam: North-Holland.
Newey, W.K., & K.D. West (1987) A simple positive semi-definite heteroscedasticity and autocorrelation consistent covariance matrix. Econometric 55, 703708.Google Scholar
Pötscher, B.M. (1983) Order estimation in ARMA models by Lagrangian multiplier tests. Annals of Statistics 11, 872885.Google Scholar
Sowell, F. (1996) Optimal tests of parameter variation in the generalized method of moments framework. Econometric 64, 10851108.Google Scholar
Wooldridge, J.M. (1994) Estimation and inference for dependent processes. In R. Engle and D.L. McFadden (eds.), Handbook of Econometrics, vol. 4, pp. 26412739. Amsterdam: North-Holland.