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Analyzing Frequencies of Several Types of Events: A Mixed Multinomial-Poisson Approach

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  • Terza, Joseph V
  • Wilson, Paul W

Abstract

A flexible, generalized Poisson model is combined with the multinomial distribution to jointly predict households' choices among types of trips and frequency of trips. The model is compared with conventional Poisson models. The problem of a time-variant mean for frequencies is also addressed, as well as the mean-variance property of the conventional Poisson model that is avoided by use of the generalized formulation. The generalized model is found to outperform the conventional models. Copyright 1990 by MIT Press.

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Bibliographic Info

Article provided by MIT Press in its journal Review of Economics & Statistics.

Volume (Year): 72 (1990)
Issue (Month): 1 (February)
Pages: 108-15

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Handle: RePEc:tpr:restat:v:72:y:1990:i:1:p:108-15

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Web page: http://mitpress.mit.edu/journals/

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Cited by:
  1. Andrés Romeu & Marcos Vera-Hernández, 2004. "Counts With An Endogenous Binary Regressor: A Series Expansion Approach," Working Papers. Serie AD, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie) 2004-36, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  2. Efthymios Tsionas & George Halkos, 2000. "Posterior Analysis of Environmental Damage Evaluation in Europe," International Review of Applied Economics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 14(3), pages 371-390.
  3. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 39(8), pages 679-707, September.
  4. Andr? Romeu-Santana & ?gel M. Vera-Hern?dez, . "A Semi-Nonparametric Estimator For Counts With An Endogenous Dummy. Variable," UFAE and IAE Working Papers, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC) 452.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  5. A. Colin Cameron & Per Johansson, 2004. "Bivariate Count Data Regression Using Series Expansions: With Applications," Working Papers, University of California, Davis, Department of Economics 9815, University of California, Davis, Department of Economics.
  6. Terza, Joseph V., 1998. "Estimating count data models with endogenous switching: Sample selection and endogenous treatment effects," Journal of Econometrics, Elsevier, Elsevier, vol. 84(1), pages 129-154, May.
  7. Cuffe, Barry P. & Friedman, Moshe F., 1996. "The joint distribution of the number of occurrences of two interrelated Poisson processes," European Journal of Operational Research, Elsevier, Elsevier, vol. 89(3), pages 660-667, March.
  8. Miravete, Eugenio J, 2009. "Multivariate Sarmanov Count Data Models," CEPR Discussion Papers, C.E.P.R. Discussion Papers 7463, C.E.P.R. Discussion Papers.

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