<p><P>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 stoc
Econometric Analysis of Count Data
โ Scribed by Professor Dr. Rainer Winkelmann (auth.)
- Publisher
- Springer Berlin Heidelberg
- Year
- 2003
- Tongue
- English
- Leaves
- 316
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages I-XV
Introduction....Pages 1-6
Probability Models for Count Data....Pages 7-59
Econometric Modeling โ Basic Issues....Pages 61-112
Econometric Modeling โ Extensions....Pages 113-180
Correlated Count Data....Pages 181-215
Bayesian Analysis of Count Variables....Pages 217-226
Applications....Pages 227-256
Back Matter....Pages 257-304
โฆ Subjects
Econometrics; Statistics for Business/Economics/Mathematical Finance/Insurance
๐ SIMILAR VOLUMES
This text presents econometric methods for the analysis of event counts. It reviews recent literature and introduces several new results. While the emphasis is on methods for cross-section data, the modelling of time series and panel count data is also discussed. Topics covered include dependent pro
<p><P>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 stoc
<p><P>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 stoc