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A dynamic hurdle model for zero-inflated count data: with an application to health care utilization

Gregori Baetschmann and Rainer Winkelmann ()

No 151, ECON - Working Papers from Department of Economics - University of Zurich

Abstract: Excess zeros are encountered in many empirical count data applications. We provide a new explanation of extra zeros, related to the underlying stochastic process that generates events. The process has two rates, a lower rate until the first event, and a higher one thereafter. We derive the corresponding distribution of the number of events during a fixed period and extend it to account for observed and unobserved heterogeneity. An application to the socio-economic determinants of the individual number of doctor visits in Germany illustrates the usefulness of the new approach.

Keywords: Excess zeros; Poisson process; exposure; hurdle model (search for similar items in EconPapers)
JEL-codes: C25 I10 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm, nep-ger and nep-hea
Date: 2014-04
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Working Paper: A Dynamic Hurdle Model for Zero-Inflated Count Data: With an Application to Health Care Utilization (2014) Downloads
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