Econometric Analysis of Count Data

✍ Scribed by Prof. Dr. Rainer Winkelmann (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2008
• Tongue: English
• Leaves: 341
• Edition: 5
• Category: Library

✦ 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 fifth edition contains several new topics, including copula functions, Poisson regression for non-counts, additional semi-parametric methods, and discrete factor models. Other sections have been reorganized, rewritten, and extended.

✦ Table of Contents

Front Matter....Pages I-XV
Introduction....Pages 1-5
Probability Models for Count Data....Pages 7-62
Poisson Regression....Pages 63-126
Unobserved Heterogeneity....Pages 127-142
Sample Selection and Endogeneity....Pages 143-172
Zeros in Count Data Models....Pages 173-202
Correlated Count Data....Pages 203-239
Bayesian Analysis of Count Data....Pages 241-250
Applications....Pages 251-280
Back Matter....Pages 281-333

✦ Subjects

Econometrics; Statistics for Business/Economics/Mathematical Finance/Insurance