Analysis of Microdata
Springer | 2005 | 3540296050 | 313 pages | PDF | 1.82 MB
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.
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