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๐Ÿ“

Econometric Analysis of Count Data

โœ Scribed by Professor Dr. Rainer Winkelmann (auth.)


Publisher
Springer Berlin Heidelberg
Year
2003
Tongue
English
Leaves
316
Category
Library

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โœฆ 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

โœฆ Subjects


Econometrics; Statistics for Business/Economics/Mathematical Finance/Insurance


๐Ÿ“œ SIMILAR VOLUMES


Econometric Analysis Of Count Data
โœ Prof. Dr. Rainer Winkelmann (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2008 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<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

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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

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<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