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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

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Bibliographic Info

Article provided by University of Manchester in its journal The Manchester School of Economic & Social Studies.

Volume (Year): 56 (1988)
Issue (Month): 4 (December)
Pages: 370-76

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Handle: RePEc:bla:manch2:v:56:y:1988:i:4:p:370-76

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Cited by:
  1. König, Heinz & Lechner, Michael, 1994. "Some recent developments in microeconometrics: A survey," ZEW Discussion Papers 94-12, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. Lechner, Michael & Smith, Jeffrey A., 2003. "What is the Value Added by Caseworkers?," IZA Discussion Papers 728, Institute for the Study of Labor (IZA).
  3. 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.
  4. 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.
  5. 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.
  6. Martina Lauk, 2003. "Ökonometrische Analyse der Entscheidungspraxis des Bundeskartellamtes," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 223(6), pages 680-711, November.
  7. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
  8. 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.
  9. 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.
  10. Lechner, Michael, 1999. "An Evaluation of Public-Sector-Sponsored Continuous Vocational Training Programs in East Germany," IZA Discussion Papers 93, Institute for the Study of Labor (IZA).
  11. Davidson, Russell & MacKinnon, James G., 1989. "Testing for Consistency using Artificial Regressions," Econometric Theory, Cambridge University Press, vol. 5(03), pages 363-384, December.
  12. Orme, Chris, 1995. "Simulated conditional moment tests," Economics Letters, Elsevier, vol. 49(3), pages 239-245, September.
  13. 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.

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