Testing for Constant Parameters in Nonlinear Models: A Quick Procedure with an Empirical Illustration
This paper proposes a two-step method for an omnibus misspecification test for constant parameters in nonlinear models. The procedure is easy to implement and has a low computational cost. The asymptotic distribution and the consistency of the procedure are derived. Monte Carlo simulations support t...
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Veröffentlicht in: | Computational economics 2019-06, Vol.54 (1), p.113-137 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | This paper proposes a two-step method for an omnibus misspecification test for constant parameters in nonlinear models. The procedure is easy to implement and has a low computational cost. The asymptotic distribution and the consistency of the procedure are derived. Monte Carlo simulations support the relevance of the proposed method, evaluate the performance of the procedure, and highlight its small computational load. An empirical application illustrates the relevance of the procedure. |
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ISSN: | 0927-7099 1572-9974 |
DOI: | 10.1007/s10614-017-9693-5 |