Abstract
This paper considers testing for moment condition instability for a wide variety of models that arise in econometric applications. We propose a nonparametric test based on smoothing the moment conditions over time. The resulting test takes the form of a U-statistic and has a limiting normal distribution. The proposed test statistic is not affected by changes in the distribution of the data, so long as certain simple regularity conditions hold. We examine the performance of the test through a small Monte Carlo experiment.
Publisher
Cambridge University Press (CUP)
Subject
Economics and Econometrics,Social Sciences (miscellaneous)
Reference37 articles.
1. A nonparametric conditional moment test for structural stability;Hidalgo;Econometric Theory,1995
2. Limiting behavior of U-statistics for stationary, absolutely regular processes;Yoshihara;Zeitschrift fur Wahrscheinlichkeitstheorie und verwandte Gebiete,1976
3. Consistent hypothesis testing in semiparmetric and nonparametric models for econometric time series;Chen;Journal of Econometrics,1999
4. Non-parametric function fitting;Priestley;Journal of the Royal Statistical Society, Series B,1972
5. Two further aspects of some new tests for structural stability;Hall;Structural Change and Economic Dynamics,1999
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