Econometric Analysis of Count Data

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 stochastic...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Winkelmann, Rainer (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Έκδοση:Fifth edition.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Winkelmann, Rainer.  |e author. 
245 1 0 |a Econometric Analysis of Count Data  |h [electronic resource] /  |c by Rainer Winkelmann. 
250 |a Fifth edition. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2008. 
300 |a XVI, 320 p.  |b online resource. 
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505 0 |a Probability Models for Count Data -- Poisson Regression -- Unobserved Heterogeneity -- Sample Selection and Endogeneity -- Zeros in Count Data Models -- Correlated Count Data -- Bayesian Analysis of Count Data -- Applications. 
520 |a 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 stochastic count process that generated the data, and with respect to predicting the distribution of outcomes. The book starts with a presentation of the benchmark Poisson regression model. Alternative models address unobserved heterogeneity, state dependence, selectivity, endogeneity, underreporting, and clustered sampling. Testing and estimation is discussed from frequentist and Bayesian perspectives. Finally, applications are reviewed in fields such as economics, marketing, sociology, demography, and health sciences. The fifth edition contains several new topics, including copula functions, Poisson regression for non-counts, additional semi-parametric methods, and discrete factor models. Other sections have been reorganized, rewritten, and extended. . 
650 0 |a Statistics. 
650 0 |a Econometrics. 
650 1 4 |a Economics. 
650 2 4 |a Econometrics. 
650 2 4 |a Statistics for Business/Economics/Mathematical Finance/Insurance. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783540776482 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-78389-3  |z Full Text via HEAL-Link 
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950 |a Business and Economics (Springer-11643)