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On Baseline Conditions For Zero-Inflated Longitudinal Count Data

Author

Listed:
  • Antonello Maruotti

    (University of Roma3)

  • Valentina Raponi

    (University of Rome La Sapienza)

Abstract

We describe a mixed-effects hurdle model for zero-inflated longitudinal count data, where a baseline variable is included in the model specification. Association between the count data process and the endogenous baseline variable is modeled through a latent structure, assumed to be dependent across equations. We show how model parameters can be estimated in a fnite mixture context, allowing for overdispersion, multivariate association and endogeneity of the baseline variable. The model behavior is investigated through a large scale simulation experiment. An empirical example on health care utilization data is provided.

Suggested Citation

  • Antonello Maruotti & Valentina Raponi, 2012. "On Baseline Conditions For Zero-Inflated Longitudinal Count Data," Working Papers 0212, CREI Universit√† degli Studi Roma Tre, revised 2012.
  • Handle: RePEc:rcr:wpaper:02_12
    as

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    File URL: http://host.uniroma3.it/centri/crei/pubblicazioni/workingpapers2012/CREI_02_2012.pdf
    File Function: First version, 2012
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    References listed on IDEAS

    as
    1. William Greene, 2009. "Models for count data with endogenous participation," Empirical Economics, Springer, vol. 36(1), pages 133-173, February.
    2. Monica Auteri & Antonello Maruotti, 2012. "Modelling waiting times in the Italian National Health Service," Applied Economics Letters, Taylor & Francis Journals, vol. 19(5), pages 459-465, March.
    3. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    4. Murat K. Munkin & Partha Deb & Pravin K. Trivedi, 2006. "Bayesian analysis of the two-part model with endogeneity: application to health care expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1081-1099.
    5. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Hurdle model - Baseline conditions - Longitudinal count data - Zero-inflation.;

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