Econometric Analysis of Count Data

Econometric Analysis of Count Data
ISBN-10
3540247289
ISBN-13
9783540247289
Series
Econometric Analysis of Count Data
Category
Business & Economics
Pages
304
Language
English
Published
2013-11-11
Publisher
Springer Science & Business Media
Author
Rainer Winkelmann

Description

Graduate students and researchers are provided with an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Proper count data probability models allow for rich inferences, both with respect to the stochastic count process that generated the data, and with respect to predicting the distribution of outcomes. The book starts with a presentation of the benchmark Poisson regression model. Alternative models address unobserved heterogeneity, state dependence, selectivity, endogeneity, underreporting, and clustered sampling. Testing and estimation is discussed from frequentist and Bayesian perspectives. Finally, applications are reviewed in fields such as economics, marketing, sociology, demography, and health sciences. The fourth edition contains several new sections, for example on nonnested hurdle models, quantile regression and on software. Many other sections have been entirely rewritten and extended.

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