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The Effect of Nuisance Parameters on the Power of LM Tests in Logit and Probit Models

Author

Listed:
  • Savin, N.E.

    (University of Iowa)

  • Wurtz, A.

Abstract

In econometrics, most null hypotheses are composite, dividing the parameters into parameters of interest and nuisance parameters. The domain of the nuisance parameters can influence the size-corrected critical value and hence the power of a test. We show that the domain of the nuisance parameters determines which version of the LM test to use in logit and probit models.

Suggested Citation

  • Savin, N.E. & Wurtz, A., 1996. "The Effect of Nuisance Parameters on the Power of LM Tests in Logit and Probit Models," Working Papers 96-05, University of Iowa, Department of Economics.
    • Handle: RePEc:uia:iowaec:96-05
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    References listed on IDEAS

    as
    1. Dagenais, Marcel G & Dufour, Jean-Marie, 1991. "Invariance, Nonlinear Models, and Asymptotic Tests," Econometrica, Econometric Society, vol. 59(6), pages 1601-1615, November.
    2. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    3. Davidson, Russell & MacKinnon, James G., 1984. "Convenient specification tests for logit and probit models," Journal of Econometrics, Elsevier, vol. 25(3), pages 241-262, July.
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    Cited by:

    1. Dufour, Jean-Marie & Torres, Olivier, 2000. "Markovian processes, two-sided autoregressions and finite-sample inference for stationary and nonstationary autoregressive processes," Journal of Econometrics, Elsevier, vol. 99(2), pages 255-289, December.

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    More about this item

    Keywords

    ECONOMIC MODELS; ECONOMETRICS;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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