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020			_a3-540-67340-7
040			_cIZA
100			_aWinkelmann, Rainer _94472
245		0	_aEconometric Analysis of Count Data
250			_a3., rev. and enl. ed.
260			_c2000 _bSpringer, _aBerlin et al.,
300			_a282 pages
340			_hC2 62
520			_aThe 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			_acount data _94473
650			_aeconometric model _9266
650			_aapplied statistics _9335
650			_astatistical methods _95273
650			_apanel data _9973
856			_uhttps://www.springer.com/gp/book/9783540776482 _yPublisher's website
942			_cBO _2ddc