UID:
almahu_9949285040102882
Umfang:
XV, 282 p.
,
online resource.
Ausgabe:
3rd ed. 2000.
ISBN:
9783662041499
Inhalt:
The primary objective of this book is to provide an introduction to the econometric modeling of count data for graduate students and researchers. 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. Applications are as diverse as the number of congressional budget vetoes, the number of children in a household, and the number of mechanical defects in a production line. The unifying theme is a focus on regression models in which a dependent count variable is modeled as a function of independent variables which mayor may not be counts as well. The modeling of count data has come of age. Inclusion of some of the fundamental models in basic textbooks, and implementation on standard computer software programs bear witness to that. Based on the standard Poisson regression model, numerous extensions and alternatives have been developed to address the common challenges faced in empirical modeling (unobserved heterogeneity, selectivity, endogeneity, measurement error, and dependent observations in the context of panel data or multivariate data, to name but a few) as well as the challenges that are specific to count data (e. g. , over dispersion and underdispersion).
Anmerkung:
1. Introduction -- 2. Probability Models for Count Data -- 3. Econometric Modeling - Basic Issues -- 4. Econometric Modeling - Extensions -- 5. Correlated Count Data -- 6. Bayesian Analysis of Count Variables -- 7. Applications -- A. Probability Generating Functions -- B. Gauss-Hermite Quadrature -- C. Tables -- References.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783662041512
Weitere Ausg.:
Printed edition: ISBN 9783662041505
Weitere Ausg.:
Printed edition: ISBN 9783540673408
Sprache:
Englisch
Fachgebiete:
Wirtschaftswissenschaften
DOI:
10.1007/978-3-662-04149-9
URL:
https://doi.org/10.1007/978-3-662-04149-9
URL:
Volltext
(URL des Erstveröffentlichers)
Bookmarklink
