Analysis of Microdata
Description
Product Description
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.
Review
From the reviews:
"The book deals with the analysis of microdata where the usual conditional expectation functions (CEF) modeling is changed towards conditional probability functions (CPF). … Numerous illustrations and numerical examples from the area of social sciences are declineated to show the utility and methodology of fitting a variety of models. This book provides subject matters different from routine books … . The book will definitely enhance the knowledge of students and equip the researchers for proper analysis and reliable results." (B. L. Agarwal, Zentralblatt MATH, Vol. 1100 (2), 2007)
"Analysis of Microdata is comprised of eight chapters, which can be thought of as falling into two parts. … At the time of writing this review I have just finished teaching a microeconometrics course using this book as the primary text. I found that it worked very well. Not only is the material well chosen but I thought it very well exposited. … I cannot give any textbook a more ringing endorsement than that." (Christopher L. Skeels, Economic Record, March, 2007)
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.
Review
From the reviews:
"The book deals with the analysis of microdata where the usual conditional expectation functions (CEF) modeling is changed towards conditional probability functions (CPF). … Numerous illustrations and numerical examples from the area of social sciences are declineated to show the utility and methodology of fitting a variety of models. This book provides subject matters different from routine books … . The book will definitely enhance the knowledge of students and equip the researchers for proper analysis and reliable results." (B. L. Agarwal, Zentralblatt MATH, Vol. 1100 (2), 2007)
"Analysis of Microdata is comprised of eight chapters, which can be thought of as falling into two parts. … At the time of writing this review I have just finished teaching a microeconometrics course using this book as the primary text. I found that it worked very well. Not only is the material well chosen but I thought it very well exposited. … I cannot give any textbook a more ringing endorsement than that." (Christopher L. Skeels, Economic Record, March, 2007)
Keywords
ECONOMETRICSECONOMICS_STATISTICAL METHODS
