Econometric Analysis of Count Data - Tapa dura

Winkelmann, Rainer

 
9783540404040: Econometric Analysis of Count Data
Tapa dura
ISBN 10: 354040404X ISBN 13: 9783540404040
Editorial: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2003

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Críticas

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 dataa ]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. a ] 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)

Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Año de publicación
2003
Idioma
Inglés
ISBN 10 
354040404X
ISBN 13 
9783540404040
Encuadernación
Tapa dura
Número de edición
4
Número de páginas
319
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania