Event History Analysis:
* makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples
* presents the unabbreviated close relationship underlying statistical theory
* details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation
* discusses specific problems of multi-state and multi-episode models
* introduces time-varying covariates and the question of unobserved population heterogeneity
* demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.
Covering both Europe and North America, the book includes case studies, and contains country-specific contributions on conservative, social-democratic, post-socialist, liberal and familistic welfare regimes, as well as data from the GLOBALIFE project.
Filling the gap in the market on the micro effects of globalization on individuals, and taking an empirical approach to the topic, this impressive volume brings the individual and nation-specific institutions back into the discussion on globalization.
The research documented within these pages poses several important questions:
* Has globalization produced fundamental shifts in late-midlife workers’ labor market participation and late careers?
* What transformations in old age career mobility can we observe?
* How are these transformations filtered by different national institutional settings?
With an impressive array of contributions, this volume will interest students and academics involved in the study of sociology, welfare and globalization.
*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.
The expert contributors address the topic on a comparative level with discussions centred on gendered school-to-work transitions and gendered labor market outcomes. Thereafter they analyze the country-specific implications of the gender redress from a wide range of countries including the USA, Russia and Australia.
This enlightening book will appeal to graduates and postgraduates studying social policy, education, the labor market, inequality and gender. It will also be of interest to experts in the fields of sociology, education, political science and economics and those interested in educational research.
The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data, to data organization, to applications using the software, to the interpretation of results. The book also demonstrates, through example, how to implement hypotheses tests and how to choose the right model. The strengths and limitations of various techniques are emphasized in each example, along with an introduction to the model, details on how to input data, and the related Stata commands. Each application is accompanied by a brief explanation of the underlying statistical concept.
Readers are offered the unique opportunity to easily run and modify all of the book’s application examples on a computer, by visiting the author’s Web site at http://www.uni-bamberg.de/sowi/soziologie-i/eha/. Examples include survival rates of patients in medical studies; unemployment periods in economic studies; and the time it takes a criminal to break the law after his release in a criminological study. This new book supplements Event History Analysis, by Blossfeld et al, and Techniques of Event History Modeling, by Blossfeld and Rohwer, extending on their coverage of practical applications and statistical theory.
Intended for researchers in a variety of fields such as statistics, economics, psychology, sociology, and political science, Event History Analysis With Stata also serves as a text, in combination with the authors’ other two books, for courses on event history analysis.