Hans-Peter Blossfeld – författare

This third edition of Causal Analysis with Event History Data Using Stata provides an updated introduction to event history modeling along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, points to useful contextual background information, gives a brief account of the underlying statistical concepts, describes the organization of input data and the application of Stata statistical procedures, and assists the reader in interpreting the content of the results obtained.

Emphasizing the strengths and limitations of continuous-time event history analysis in different fields of social science applications, this book demonstrates that event history models provide a useful approach to uncover causal relation- ships or to map a system of causal relationships. In particular, this book demonstrates how long-term processes can be studied, how different forms of duration dependencies can be estimated using nonparametric, parametric and semiparametric models, and how parallel and interdependent dynamic systems can be analyzed from a causal-analytical point of view using the method of episode splitting. The book also shows how changing contextual information at the micro, meso and macro levels can be easily integrated into a dynamic analysis of longitudinal data. Finally, the book addresses the problem of unobserved heterogeneity of time-constant and time-dependent omitted variables and makes suggestions for dealing with these sometimes difficult methodological problems.

Causal Analysis with Event History Data Using Stata is an invaluable resource for both novice and experienced researchers from a variety of fields (e.g. sociology, economics, political science, education, psychology, demography, epidemiology, management research and organizational studies, as well as medicine and clinical applications) who need an introductory textbook on continuous-time event history analysis and who are looking for a practical handbook for their longitudinal research.

This third edition of Causal Analysis with Event History Data Using Stata provides an updated introduction to event history modeling along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, points to useful contextual background information, gives a brief account of the underlying statistical concepts, describes the organization of input data and the application of Stata statistical procedures, and assists the reader in interpreting the content of the results obtained.

Emphasizing the strengths and limitations of continuous-time event history analysis in different fields of social science applications, this book demonstrates that event history models provide a useful approach to uncover causal relation- ships or to map a system of causal relationships. In particular, this book demonstrates how long-term processes can be studied, how different forms of duration dependencies can be estimated using nonparametric, parametric and semiparametric models, and how parallel and interdependent dynamic systems can be analyzed from a causal-analytical point of view using the method of episode splitting. The book also shows how changing contextual information at the micro, meso and macro levels can be easily integrated into a dynamic analysis of longitudinal data. Finally, the book addresses the problem of unobserved heterogeneity of time-constant and time-dependent omitted variables and makes suggestions for dealing with these sometimes difficult methodological problems.

Causal Analysis with Event History Data Using Stata is an invaluable resource for both novice and experienced researchers from a variety of fields (e.g. sociology, economics, political science, education, psychology, demography, epidemiology, management research and organizational studies, as well as medicine and clinical applications) who need an introductory textbook on continuous-time event history analysis and who are looking for a practical handbook for their longitudinal research.

Globalization has been strongly shaping and transforming both national economies and individual careers in recent decades. These profound changes have had significant consequences for individual careers of men and women both during and after their employment career. This impressive new collection focuses on the effects of the globalization process on late-midlife workers and the exit from employment – a relationship that has up to now mostly been neglected in social science literature on aging and employment.

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.

Globalization has been strongly shaping and transforming both national economies and individual careers in recent decades. These profound changes have had significant consequences for individual careers of men and women both during and after their employment career. This impressive new collection focuses on the effects of the globalization process on late-midlife workers and the exit from employment – a relationship that has up to now mostly been neglected in social science literature on aging and employment.

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.

Examining how youths in fourteen industrialized societies make the transition to adulthood in an era of globalization and rising uncertainty, this collection of essays investigates the impact that institutions working with social groups of youths have upon those youths'' abilities to make adult decisions determining their life courses.

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.

Examining how youths in fourteen industrialized societies make the transition to adulthood in an era of globalization and rising uncertainty, this collection of essays investigates the impact that institutions working with social groups of youths have upon those youths'' abilities to make adult decisions determining their life courses.

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.

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.

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.