Econometric analysis of count data
- ISBN: 9783540404040
- Editorial: Springer Verlag Gmbh & Co. Kg
- Fecha de la edición: 2003
- Lugar de la edición: Berlin. Alemania
- Edición número: 4th ed
- Encuadernación: Cartoné
- Medidas: 24 cm
- Nº Pág.: 304
- Idiomas: Inglés
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 INDICE Introduction.- Probability Models for Count Data.- Econometric Modeling - Basic Issues.- Econometric Modeling - Extensions.- Correlated Count Data.- Bayesian Analysis of Count Variables.- Applications
