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๐Ÿ“

Econometric Analysis of Count Data

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


Publisher
Springer Berlin Heidelberg
Year
2000
Tongue
English
Leaves
291
Category
Library

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โœฆ 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

โœฆ Subjects


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


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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โœ Rainer Winkelmann ๐Ÿ“‚ Library ๐Ÿ“… 1997 ๐Ÿ› Springer-Verlag ๐ŸŒ English

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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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

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