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Monte carlo evidence on the robustness of conditional moment tests in tobit and probit models

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  • Christopher Skeels
  • Franics Vella

Abstract

This paper numerically examines the size robustness of various conditional moment tests in misspecified tobit and probit models. The misspecifications considered include the incorrect exclusion of regressors, ignored heteroskedasticity and false distributional assumptions. An important feature of the experimental design is that it is based on an existing empirical study and is more realistic than many simulation studies. The tests are seen to have mixed performance depending on both the original null hypothesis being tested and type of misspecification encountered.

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  • Christopher Skeels & Franics Vella, 1997. "Monte carlo evidence on the robustness of conditional moment tests in tobit and probit models," Econometric Reviews, Taylor & Francis Journals, vol. 16(1), pages 69-92.
    • Handle: RePEc:taf:emetrv:v:16:y:1997:i:1:p:69-92
    DOI: 10.1080/07474939708800373
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    References listed on IDEAS

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    Cited by:

    1. L. G. Godfrey & M. R. Veal, 2000. "Alternative approaches to testing by variable addition," Econometric Reviews, Taylor & Francis Journals, vol. 19(2), pages 241-261.
    2. Faria, João Ricardo & Wang, Le & Wu, Zhongmin, 2012. "Debts on debts," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 203-219.
    3. David M. Drukker, 2002. "Bootstrapping a conditional moments test for normality after tobit estimation," Stata Journal, StataCorp LP, vol. 2(2), pages 125-139, May.
    4. Soderbom, Mans & Teal, Francis & Harding, Alan, 2006. "The Determinants of Survival among African Manufacturing Firms," Economic Development and Cultural Change, University of Chicago Press, vol. 54(3), pages 533-555, April.
    5. Teresa Aparicio & Inmaculada Villanua, 2001. "The asymptotically efficient version of the information matrix test in binary choice models. A study of size and power," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(2), pages 167-182.
    6. Skeels, Christopher L. & Vella, Francis, 1999. "A Monte Carlo investigation of the sampling behavior of conditional moment tests in Tobit and Probit models," Journal of Econometrics, Elsevier, vol. 92(2), pages 275-294, October.

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