<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 Dr. Rainer Winkelmann (auth.)
- Publisher
- Springer Berlin Heidelberg
- Year
- 2000
- Tongue
- English
- Leaves
- 291
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages I-XV
Introduction....Pages 1-7
Probability Models for Count Data....Pages 9-64
Econometric Modeling โ Basic Issues....Pages 65-118
Econometric Modeling โ Extensions....Pages 119-169
Correlated Count Data....Pages 171-207
Bayesian Analysis of Count Variables....Pages 209-219
Applications....Pages 221-246
Back Matter....Pages 247-282
โฆ Subjects
Econometrics; Statistics for Business/Economics/Mathematical Finance/Insurance; Marketing
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