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A Consistent Test for the Parametric Specification of the Hazard Function

Author Info

Listed author(s):
  • Yanqin Fan

    ()

    (Department of Economics University of Windsor)

  • Paul Rilstone

    ()

    (Department of Economics, York University)

Abstract

This paper develops a consistent test for the correct hazard rate specification within the context of random right hand censoring of the dependent variable. The test is based on comparing a parametric estimate with a kernel estimate of the hazard rate. We establish the asymptotic distribution of the test statistic under the null hypothesis of correct parametric specification of the hazard rate and establish the consistency of the test.

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File URL: http://www.aeconf.net/Articles/May2001/aef020104.pdf
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File URL: http://down.aefweb.net/AefArticles/aef020104.pdf
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Article provided by Society for AEF in its journal Annals of Economics and Finance.

Volume (Year): 2 (2001)
Issue (Month): 1 (May)
Pages: 77-96

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Handle: RePEc:cuf:journl:y:2001:v:2:i:1:p:77-96
Contact details of provider: Web page: http://www.aeconf.net/

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Keywords: Consistent test; Hazard rate; Random censoring; Kernel estimation; Boundary kernel;

Find related papers by JEL classification:

  • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
  • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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Cited by:

  1. Xiaohong Chen & Yanqin Fan & Andrew J. Patton, 2004. "Simple tests for models of dependence between multiple financial time series, with applications to U.S. equity returns and exchange rates," LSE Research Online Documents on Economics 24681, London School of Economics and Political Science, LSE Library.
  2. Yanqin Fan & Xiaohong Chen & Andrew Patton, 2004. "(IAM Series No 003) Simple Tests for Models of Dependence Between Multiple Financial Time Series, with Applications to U.S. Equity Returns and Exchange Rates," FMG Discussion Papers dp483, Financial Markets Group.

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