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๐Ÿ“

Econometric Analysis of Count Data

โœ Scribed by Rainer Winkelmann


Publisher
Springer-Verlag
Year
1997
Tongue
English
Leaves
199
Edition
2 Rev Sub
Category
Library

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โœฆ Synopsis


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 processes, unobserved heterogeneity, selectivity and endogeneity, underreporting and Bayesian inference. Methodological and practical aspects are combined in an application dealing with the determinants of individual labour mobility.


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

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

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