The book provides a simple, intuitive introduction to regression models for qualitative and discrete dependent variables, to sample selection models, and to event history models, all in the context of maximum likelihood estimation. It presents a wide range of commonly used models. The book thereby enables the reader to become a critical consumer of current empirical social science research and to conduct own empirical analyses. The book includes numerous examples, illustrations, and exercises. It can be used as a textbook for an advanced undergraduate, a Master's or a first-year Ph.D. course in microdata analysis, and as a reference for practitioners and researchers. Can be used as a textbookfor undergraduate, Master's or first-year Ph.D. students in economics and related disciplines as well a supplementary text to an applied microeconomics field course (e. g. areas of labor economics, health economics a.s.o.) Intended as a reference for graduate students, researchers as well as practioners who encounter microdata in their work With numerous exercises, illustrations and tables INDICE: Introduction.- From Regression to Probability Models.- Maximum Likelihood Estimation.- Binary Response Models.- Multinomial Response Models.- Ordered Response Models.- Limited Dependent Variables.- Event History Models.
- ISBN: 978-3-540-92747-1
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 343
- Fecha Publicación: 01/01/2009
- Nº Volúmenes: 1
- Idioma: Inglés