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Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests

A. Colin Cameron and Pravin K. Trivedi
Journal of Applied Econometrics
Vol. 1, No. 1 (Jan., 1986), pp. 29-53
Published by: Wiley
Stable URL: http://www.jstor.org/stable/2096536
Page Count: 25
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Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests
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Abstract

This paper deals with specification, estimation and tests of single equation reduced form type equations in which the dependent variable takes only non-negative integer values. Beginning with Poisson and compound Poisson models, which involve strong assumptions, a variety of possible stochastic models and their implications are discussed. A number of estimators and their properties are considered in the light of uncertainty about the data generation process. The paper also considers the role of tests in sequential revision of the model specification beginning with the Poisson case and provides a detailed application of the estimators and tests to a model of the number of doctor consultations.

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