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Econometric Analysis of Count Data. Authors: Winkelmann, Rainer

Econometric Analysis of Count Data. Authors: Winkelmann, Rainer. Up-to-date survey of econometric and statistical techniques. Presentation of theory as well as applications in economics, marketing, sociology. 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.

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.

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The book starts with a presentation of the benchmark Poisson regression model. Testing and estimation is discussed from frequentist and Bayesian perspectives. The book starts with a presentation of the benchmark Poisson regression model

This text presents econometric methods for the analysis of event counts. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. 1. Eta Products and Theta Series Identities.

This text presents econometric methods for the analysis of event counts. While the emphasis is on methods for cross-section data, the modelling of time series and panel count data is also discussed. Topics covered include dependent processes, unobserved heterogeneity, selectivity and endogeneity, underreporting and Bayesian inference. The book starts with a presentation of the benchmark Poisson regression model

Econometric Analysis of Count Data.

Econometric Analysis of Count Data. It should serve anyone whose interest lies either in developing the field fur­ ther, or in applying existing methods to empirical questions. Much of the material included in this book is not specific to economics, or to quantita­ tive social sciences more generally, but rather extends to disciplines such as biometrics and technometrics.

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