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Econometric Analysis of Count Data
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Econometric Analysis of Count Data (Hardback)

£83.00
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Synopsis

The book provides graduate students and researchers 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.

BusinessEconomicsBehavioural economicsBusinessEconomicsEconometricsEconomic statisticsBusinessEconomicsEconomic systems & structuresBusinessEconomicsHealth economicsBusinessEconomicsPolitical economyBusinessEconomicsWelfare economics Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Publication Date: 19/08/2003 ISBN-13: 9783540404040  Details: Type: Hardback Format: Books
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