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The Calculation of the Information Matrix Test for Binary Data Models


  • Orme, Christopher


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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    References listed on IDEAS

    1. F. Giavazzi & L. Spaventa, 1990. "The "New" EMS," Working Papers 86, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Olivier Jean Blanchard & Stanley Fischer, 1989. "Lectures on Macroeconomics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262022834, January.
    3. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
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    Cited by:

    1. 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.
    2. 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.
    3. Lechner, Michael & Smith, Jeffrey, 2007. "What is the value added by caseworkers?," Labour Economics, Elsevier, vol. 14(2), pages 135-151, April.
    4. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    5. 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.
    6. Davidson, Russell & MacKinnon, James G., 1989. "Testing for Consistency using Artificial Regressions," Econometric Theory, Cambridge University Press, vol. 5(03), pages 363-384, December.
    7. 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.
    8. 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.
    9. Lechner, Michael, 1995. "Effects of continuous off-the-job training in East Germany after unification," ZEW Discussion Papers 95-27, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    10. 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.
    11. 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.
    12. 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.
    13. Orme, Chris, 1995. "Simulated conditional moment tests," Economics Letters, Elsevier, vol. 49(3), pages 239-245, September.
    14. 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.
    15. repec:eee:econom:v:202:y:2018:i:1:p:45-56 is not listed on IDEAS
    16. 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.

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