Rainer Winkelmann

Econometric Analysis of Count Data (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 320
• Erscheinungstermin: 7. März 2008
• Englisch
• ISBN-13: 9783540783893
• Artikelnr.: 37366732

Inhaltsangabe

Probability Models for Count Data.- Poisson Regression.- Unobserved Heterogeneity.- Sample Selection and Endogeneity.- Zeros in Count Data Models.- Correlated Count Data.- Bayesian Analysis of Count Data.- Applications.

Rezensionen

From the reviews: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "Winkleman has published numerous articles on using content models in economics and other social science journals. Because these are both applied and theoretical, he is well suited to write a monograph in this area. This book provides a very useful survey for anyone doing serious research using count data...for those who are doing substantive research using count data, [this book] will prove quite useful." From the reviews of the fourth edition: "The main objective of the book is to introduce count models at a graduate level so that these models can be used by students, researchers or interested practitioners. ... For all researchers who are concerned with count data the book offers a very good introduction into this field of research and many examples and interpretations of the results. Therefore, the book provides an excellent starting point for working in this area of applied research." (Herbert S. Buscher, Zentralblatt MATH, Vol. 1032 (7), 2004)