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Conditional Moment Tests for Parametric Duration Models

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Prieger, James (U of California, Davis)

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Abstract

This paper develops and compares specification tests for parametric duration models estimated with censored data. The tests are based on generalized residuals (the integrated hazard), which is exponentially distributed if the model is correctly specified. I present several conditional moment tests based on the generalized residuals: a raw moments test, a test based on Laguerre polynomials, and a Lagrange multiplier (LM) test. The LM test extends Lancaster's (1985) test by allowing an arbitrarily precise approximation of the likelihood under the alternative. The raw moments test implemented via an auxiliary regression is examined using both asymptotic and bootstrap critical values. Monte Carlo evidence indicates that no one test dominates the others in all situations in terms of size, power, and ease of use. When the data are not censored, the Laguerre test appears to be the best choice. When there is censoring in the data, the Laguerre test is still at least as powerful as the other tests, but the raw moment test may be more convenient to perform. For the convenience of the practitioner the explicit forms of the tests for exponential and Weibull duration models are presented.

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Paper provided by University of California at Davis, Department of Economics in its series Working Papers with number 00-10.

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Date of creation: Nov 2000
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Handle: RePEc:ecl:ucdeco:00-10

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  1. Tauchen, George, 1985. "Diagnostic testing and evaluation of maximum likelihood models," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 415-443. [Downloadable!] (restricted)
  2. Gallant, A Ronald & Nychka, Douglas W, 1987. "Semi-nonparametric Maximum Likelihood Estimation," Econometrica, Econometric Society, vol. 55(2), pages 363-90, March. [Downloadable!] (restricted)
  3. Jaggia, Sanjiv & Thosar, Satish, 1995. "Contested Tender Offers: An Estimate of the Hazard Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 113-19, January.
  4. Joel L. Horowitz, 1999. "Semiparametric Estimation of a Proportional Hazard Model with Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 67(5), pages 1001-1028, September.
  5. Gourieroux, Christian & Monfort, Alain & Renault, Eric & Trognon, Alain, 1987. "Generalised residuals," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 5-32. [Downloadable!] (restricted)
  6. Horowitz, Joel L., 1994. "Bootstrap-based critical values for the information matrix test," Journal of Econometrics, Elsevier, vol. 61(2), pages 395-411, April. [Downloadable!] (restricted)
  7. Sunil Sharma, 1987. "Specification Diagnostics for Econometric Models of Duration," UCLA Economics Working Papers 440, UCLA Department of Economics. [Downloadable!]
  8. Jaggia, Sanjiv, 1991. "Tests of moment restrictions in parametric duration models," Economics Letters, Elsevier, vol. 37(1), pages 35-38, September. [Downloadable!] (restricted)
  9. Pagan, Adrian & Vella, Frank, 1989. "Diagnostic Tests for Models Based on Individual Data: A Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages S29-59, Supplemen. [Downloadable!] (restricted)
  10. Newey, Whitney K, 1985. "Maximum Likelihood Specification Testing and Conditional Moment Tests," Econometrica, Econometric Society, vol. 53(5), pages 1047-70, September. [Downloadable!] (restricted)
  11. Chesher, Andrew & Spady, Richard, 1991. "Asymptotic Expansions of the Information Matrix Test Statistic," Econometrica, Econometric Society, vol. 59(3), pages 787-815, May. [Downloadable!] (restricted)
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  1. James E. Prieger, 2003. "Bootstrapping the conditional moment test for parametric duration models," Applied Economics Letters, Taylor and Francis Journals, vol. 10(10), pages 597-600, August. [Downloadable!] (restricted)
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