Techniques of Event History Modeling

New Approaches to Casual Analysis

Nonfiction, Health & Well Being, Psychology, Research
Cover of the book Techniques of Event History Modeling by Hans-Peter Blossfeld, G”tz Rohwer, Taylor and Francis
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Author: Hans-Peter Blossfeld, G”tz Rohwer ISBN: 9781135639112
Publisher: Taylor and Francis Publication: September 1, 2001
Imprint: Psychology Press Language: English
Author: Hans-Peter Blossfeld, G”tz Rohwer
ISBN: 9781135639112
Publisher: Taylor and Francis
Publication: September 1, 2001
Imprint: Psychology Press
Language: English

Including new developments and publications which have appeared since the publication of the first edition in 1995, this second edition:
*gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the social sciences;
*demonstrates that event history modeling is a major step forward in causal analysis. To do so the authors show that event history models employ the time-path of changes in states and relate changes in causal variables in the past to changes in discrete outcomes in the future; and
*introduces the reader to the computer program Transition Data Analysis (TDA). This software estimates the sort of models most frequently used with longitudinal data, in particular, discrete-time and continuous-time event history data.

Techniques of Event History Modeling can serve as a student textbook in the fields of statistics, economics, the social sciences, psychology, and the political sciences. It can also be used as a reference for scientists in all fields of research.

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Including new developments and publications which have appeared since the publication of the first edition in 1995, this second edition:
*gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the social sciences;
*demonstrates that event history modeling is a major step forward in causal analysis. To do so the authors show that event history models employ the time-path of changes in states and relate changes in causal variables in the past to changes in discrete outcomes in the future; and
*introduces the reader to the computer program Transition Data Analysis (TDA). This software estimates the sort of models most frequently used with longitudinal data, in particular, discrete-time and continuous-time event history data.

Techniques of Event History Modeling can serve as a student textbook in the fields of statistics, economics, the social sciences, psychology, and the political sciences. It can also be used as a reference for scientists in all fields of research.

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