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The Calculation of the Information Matrix Test for Binary Data Models

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  • Orme, Christopher

Abstract

This paper presents a simple calculation procedure for the information matrix test statistic, in the context of binary data models, which employs the asymptotically efficient maximum likelihood estimator of the covariance matrix, as opposed to the highly stochastic "output product of the gradient" estimator proposed by T. Lancaster (1984) and others. Copyright 1988 by Blackwell Publishers Ltd and The Victoria University of Manchester

Suggested Citation

  • Orme, Christopher, 1988. "The Calculation of the Information Matrix Test for Binary Data Models," The Manchester School of Economic & Social Studies, University of Manchester, vol. 56(4), pages 370-376, December.
  • Handle: RePEc:bla:manch2:v:56:y:1988:i:4:p:370-76
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    Cited by:

    1. Lechner, Michael & Smith, Jeffrey, 2007. "What is the value added by caseworkers?," Labour Economics, Elsevier, vol. 14(2), pages 135-151, April.
    2. Xie, Xian-Jin & Pendergast, Jane & Clarke, William, 2008. "Increasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2703-2713, January.
    3. Lechner, Michael, 1995. "Effects of continuous off-the-job training in East Germany after unification," ZEW Discussion Papers 95-27, ZEW - Leibniz Centre for European Economic Research.
    4. Andreas Blöchlinger & Markus Leippold, 2011. "A New Goodness-of-Fit Test for Event Forecasting and Its Application to Credit Defaults," Management Science, INFORMS, vol. 57(3), pages 487-505, March.
    5. Heinz König & Michael Lechner, 1994. "Some Recent Developments in Microeconometrics - A Survey," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 299-331, September.
    6. Davidson, Russell & MacKinnon, James G., 1989. "Testing for Consistency using Artificial Regressions," Econometric Theory, Cambridge University Press, vol. 5(3), pages 363-384, December.
    7. Cho, Jin Seo & Phillips, Peter C.B., 2018. "Pythagorean generalization of testing the equality of two symmetric positive definite matrices," Journal of Econometrics, Elsevier, vol. 202(1), pages 45-56.
    8. Darryl Holden & Roger Perman, 2014. "The convenient calculation of some test statistics in models of discrete choice," Working Papers 1410, University of Strathclyde Business School, Department of Economics.
    9. Davidson, Russell & MacKinnon, James G, 1998. "Graphical Methods for Investigating the Size and Power of Hypothesis Tests," The Manchester School of Economic & Social Studies, University of Manchester, vol. 66(1), pages 1-26, January.
    10. Dhaene, Geert & Hoorelbeke, Dirk, 2004. "The information matrix test with bootstrap-based covariance matrix estimation," Economics Letters, Elsevier, vol. 82(3), pages 341-347, March.
    11. Michael Lechner, 2000. "An Evaluation of Public-Sector-Sponsored Continuous Vocational Training Programs in East Germany," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 347-375.
    12. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    13. Lauk Martina, 2003. "Ökonometrische Analyse der Entscheidungspraxis des Bundeskartellamtes / Econometric Analysis of the Decisions of the German Federal Cartel Office," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(6), pages 680-711, December.
    14. 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.
    15. Maria Concetta Chiuri, 1999. "Intra-Household Allocation of Time and Resources: Empirical Evidence on a Sample of Italian Households with Young Children," CSEF Working Papers 15, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    16. Orme, Chris, 1995. "Simulated conditional moment tests," Economics Letters, Elsevier, vol. 49(3), pages 239-245, September.
    17. Holden, Darryl & Perman, Roger, 2014. "The convenient calculation of some test statistics in models of discrete choice," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-07, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Jin Seo Cho & Peter C.B. Phillips, "undated". "Testing Equality of Covariance Matrices via Pythagorean Means," Cowles Foundation Discussion Papers 1970, Cowles Foundation for Research in Economics, Yale University.

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