Analysis of Microdata

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Springer Science & Business Media, Sep 21, 2006 - Business & Economics - 323 pages
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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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Contents

Introduction
1
From Regression to Probability Models
21
Maximum Likelihood Estimation 45
44
Binary Response Models
95
Multinomial Response Models 137
136
Ordered Response Models
171
Limited Dependent Variables 207
206
Event History Models
251
List of Figures
297
Index
309
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