Econometric analysis of count data - Rainer Winkelmann - Google книги
Silva , Silvana Tenreyro. Co-payments for prescription drugs and the demand for doctor visits--evidence from a natural experiment. Rainer Winkelmann. Nolan , Rainer Winkelmann. Cameron , Pravin K. Crime and Social Interactions Edward L.
Econometric Analysis of Count Data by Rainer Winkelmann (2008, Hardcover)
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Econometric Analysis of Count Data
Registered: Jeffrey Marc Wooldridge. The second edition of this acclaimed graduate text provides a unified treatment of the analysis of two kinds of data structures used in contemporary econometric research: cross section data and panel data. In addition to general estimation frameworks particularly methods of moments and maximum likelihood , specific linear and nonlinear methods are covered in detail, including probit and logit models, multinomial and ordered choice models, Tobit models and two-part extensions, models for count data, various censored and missing data schemes, causal or treatment effect estimation, and duration analysis.
Control function and correlated random effects approaches are expanded to allow estimation of complicated models in the presence of endogeneity and heterogeneity.
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This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster sampling problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" GIV estimation; new coverage of inverse probability weighting; a more complete framework for estimating treatment effects with assumptions concerning the intervention and different data structures, including panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields.
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