Econometric Analysis of Count Data:
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 m...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2000
|
| Ausgabe: | 3rd ed. 2000 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | 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) |
| Beschreibung: | 1 Online-Ressource (XV, 282 p) |
| ISBN: | 9783662041499 |
| DOI: | 10.1007/978-3-662-04149-9 |
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| spelling | Winkelmann, Rainer Verfasser aut Econometric Analysis of Count Data by Rainer Winkelmann 3rd ed. 2000 Berlin, Heidelberg Springer Berlin Heidelberg 2000 1 Online-Ressource (XV, 282 p) txt rdacontent c rdamedia cr rdacarrier 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) Econometrics Statistics for Business, Management, Economics, Finance, Insurance Marketing Statistics Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Arbeitsmobilität (DE-588)4068809-4 gnd rswk-swf Ereignisdatenanalyse (DE-588)4132103-0 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf Arbeitsmobilität (DE-588)4068809-4 s Ereignisdatenanalyse (DE-588)4132103-0 s DE-604 Ökonometrisches Modell (DE-588)4043212-9 s Ökonometrie (DE-588)4132280-0 s Zeitreihenanalyse (DE-588)4067486-1 s Erscheint auch als Druck-Ausgabe 9783662041512 Erscheint auch als Druck-Ausgabe 9783662041505 Erscheint auch als Druck-Ausgabe 9783540673408 https://doi.org/10.1007/978-3-662-04149-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Winkelmann, Rainer Econometric Analysis of Count Data Econometrics Statistics for Business, Management, Economics, Finance, Insurance Marketing Statistics Ökonometrisches Modell (DE-588)4043212-9 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd Arbeitsmobilität (DE-588)4068809-4 gnd Ereignisdatenanalyse (DE-588)4132103-0 gnd Ökonometrie (DE-588)4132280-0 gnd |
| subject_GND | (DE-588)4043212-9 (DE-588)4067486-1 (DE-588)4068809-4 (DE-588)4132103-0 (DE-588)4132280-0 |
| title | Econometric Analysis of Count Data |
| title_auth | Econometric Analysis of Count Data |
| title_exact_search | Econometric Analysis of Count Data |
| title_exact_search_txtP | Econometric Analysis of Count Data |
| title_full | Econometric Analysis of Count Data by Rainer Winkelmann |
| title_fullStr | Econometric Analysis of Count Data by Rainer Winkelmann |
| title_full_unstemmed | Econometric Analysis of Count Data by Rainer Winkelmann |
| title_short | Econometric Analysis of Count Data |
| title_sort | econometric analysis of count data |
| topic | Econometrics Statistics for Business, Management, Economics, Finance, Insurance Marketing Statistics Ökonometrisches Modell (DE-588)4043212-9 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd Arbeitsmobilität (DE-588)4068809-4 gnd Ereignisdatenanalyse (DE-588)4132103-0 gnd Ökonometrie (DE-588)4132280-0 gnd |
| topic_facet | Econometrics Statistics for Business, Management, Economics, Finance, Insurance Marketing Statistics Ökonometrisches Modell Zeitreihenanalyse Arbeitsmobilität Ereignisdatenanalyse Ökonometrie |
| url | https://doi.org/10.1007/978-3-662-04149-9 |
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