RECENT DEVELOPMENTS IN COUNT DATA MODELLING: THEORY AND APPLICATION |
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Authors: | Rainer Winkelmann Klaus F Zimmermann |
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Institution: | Dartmouth College and SELAPO, University of Munich;SELAPO, University of Munich and CEPR |
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Abstract: | Abstract. This paper deals with statistical methods for modelling individual behavior when the endogenous variable is a nonnegative integer. Examples are the number of children, the number of job changes or the number of shopping trips in a given period. Several approaches—Poisson, robust Poisson, negative binomial (NEGBIN), NEGBIN k , hurdle Poisson, truncated-at-zero Poisson—are discussed with a focus on specification, estimation, and testing. An application to labor mobility data illustrates the gain obtained by carefully taking into account the specific structure of the data. |
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Keywords: | Count data models Poisson negative binomial |
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