## Event History Analysis"In a manner similar to many other titles within the Applied Social Research Methods Series, this 182-page book thoroughly covers many of the specific methodological hurdles encountered in implementing event history analysis (EHA). The Applied Social Research Methods Series' ... is the result of careful subject selection. ... Consistent with the practical orientation of the book, each of the application sections provides useful insights into data structure problems and programming notes. ... Kazuo Yamaguchi's insightful review of problems in structuring EHA models is useful for those contemplating life-course research. ... We strongly recommend its inclusion in the libraries of marketing researchers and its inclusion on suggested reading lists of graduate research method seminars."--Journal of Marketing Research "This book, which is part of Sage Publications' Applied Social Research Methods Series, is a practical guide for those interested in using event history analysis. ... The book's strength is that it is well written and easy to understand. Even those with limited statistical backgrounds can follow the discussion and the systematic progression from the simpler to the more complex models (although the author provides ample references for those wanting a more rigorous discussion). ... Upon finishing the book, I found myself wondering about specific accounting questions that might be addressed using event history analysis. There are many, and in fact, most issues can be recast in an events framework. ... In sum, I recommend this book to anyone wanting to use event history analysis whether to apply to new research questions or to provide a fresh look at old questions." --The Accounting Review "A significant introduction to the event-history literature that provides the background to implement this difficult methodology successfully and that can be supplemented with other, more advanced texts. It will undoubtedly become a prized text among students and a valuable reference for the research community." --Contemporary Sociology As a research tool event history analysis has recently become a key technique for researchers, professionals and students in a wide range of disciplines. However, despite this increasing interest, few resources exist which clearly examine this technique. Now, Event History Analysis provides a systematic introduction to models, methods and applications of event history analysis. Kazuo Yamaguchi emphasizes "hands on" information, including the use and misuse of samples, models, and covariates in applications, the structural arrangement of input data, the specification of various models in such computer programs as SAS-LOGIST and SPSS-LOGLINEAR, and the interpretation of parameters estimated from models. This timely book also offers such significant topics as missing data, hazard rate, Cox's partial likelihood model, survivor function, and discrete-time logit models for both one-way and two-way transitions. Event History Analysis is essential for researchers, professionals and students of public health, sociology, labor economics, political science, and organization studies.-Provided by published. |

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Chapter 1 Introduction | 1 |

The Analysis of Oneway Transition | 15 |

The Analysis of Twoway Transitions | 46 |

Chapter 4 LogRate Models for Piecewise Constant Rates | 71 |

Proportional Hazards Models Nonproportional Hazards Models and Stratified Models | 101 |

Use of TimeDependent Covariates and Related Issues | 130 |

Chapter 7 Final Remarks Before Getting Ones Own Research Started | 161 |

175 | |

About the Author | 181 |

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age cohort age of employment amount of exposure assume BMDP2L censored observations chapter chi-square continuous-time defined DEP2 dependent process dependent variable DESIGN=F discrete-time logit models distinct divorce dummy variables duration dependence duration effect effects of age effects of covariates employ employees entry event history analysis example explanatory variables fects frequency getting married given hazard function hazard rate Hence hypotheses input data interaction effects interfirm job separation job mobility L_EMP likelihood function likelihood-ratio test linear lines log-odds log-rate models logistic regression main effects marriage Model 18 Model A5 nested models nonproportional hazards models Number of Events occurrence odds parameter estimates personal efficacy premarital presented private firms proportional hazards models rates of interfirm repeatable events reverse causation risk period sample saturated model selection bias specifies spells subjects survivor function Table time-dependent covariates tion two-way transitions U_EMP unobserved heterogeneity values versus Wald test Yamaguchi zero