{"product_id":"techniques-of-event-history-modeling-second-edition-practical","title":"Techniques of Event History Modeling, Second Edition - Practical","description":"\u003cp\u003eIn this review of Techniques of Event History Modeling: New Approaches to Causal Analysis, Second Edition, the bottom line is clear: this is a rigorous, practical introduction to event history methods aimed at applied researchers in economics and the social sciences who need to move beyond cross-sectional inference. The book's single biggest reason to buy is its focus on connecting the time-path of state changes with causal variables, making \u003cstrong\u003eevent history modeling\u003c\/strong\u003e an accessible tool for causal analysis rather than an abstract textbook exercise.\u003c\/p\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n \u003cli\u003e\n\u003cstrong\u003eComprehensive introduction:\u003c\/strong\u003e The text gives a full, introductory account of event history modeling techniques suitable for researchers new to the approach.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eEmphasis on causal analysis:\u003c\/strong\u003e The authors demonstrate how using the \u003cstrong\u003etime-path of changes\u003c\/strong\u003e links past causal variables to future discrete outcomes, improving causal inference.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eUpdated material:\u003c\/strong\u003e This second edition includes developments and publications that appeared after the 1995 first edition, keeping the treatment current.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eApplied focus:\u003c\/strong\u003e Examples and explanations target applied research in economics and social sciences, making methods directly usable in empirical work.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eSoftware introduction:\u003c\/strong\u003e The book introduces Transition Data Analysis (TDA) software that estimates common discrete-time and continuous-time models for longitudinal data.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eBridge between theory and practice:\u003c\/strong\u003e Explanations emphasize how models relate changes in causal variables to discrete outcomes over time, not just formal theory.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis edition is best for graduate students, social science and economics researchers, and data analysts who work with longitudinal or panel data and need a methodical treatment of event history techniques and their role in causal analysis. It is particularly useful for those who plan to implement models in software, since it introduces the \u003cstrong\u003eTDA software\u003c\/strong\u003e used to estimate discrete and continuous time models.\u003c\/p\u003e\n\n\u003cp\u003eReaders seeking a casual overview or a purely theoretical mathematical monograph should look elsewhere; this book balances theory and application rather than focusing solely on formal probability proofs or introductory statistics basics. It assumes some familiarity with longitudinal data concepts.\u003c\/p\u003e\n\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003eClear, applied presentation that makes \u003cstrong\u003eevent history modeling\u003c\/strong\u003e usable for empirical researchers.\u003c\/li\u003e\n \u003cli\u003eUpdated second edition that incorporates literature and developments since 1995.\u003c\/li\u003e\n \u003cli\u003ePractical guidance on software implementation through an introduction to Transition Data Analysis (TDA).\u003c\/li\u003e\n \u003cli\u003eStrong emphasis on causal interpretation by relating time-paths of state changes to future outcomes.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003eThe book is specialized and presumes familiarity with longitudinal research designs, so it is not an introductory statistics primer.\u003c\/li\u003e\n \u003cli\u003eTechnical readers seeking exhaustive mathematical derivations may find the applied focus limits formal depth.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n \u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eTechniques of Event History Modeling: New Approaches to Causal Analysis, Second Edition\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eAuthors \/ Brand\u003c\/td\u003e\n\u003ctd\u003eHans-Peter Blossfeld, Gtz Rohwer\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eEdition\u003c\/td\u003e\n\u003ctd\u003eSecond edition (updated since 1995)\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eScope\u003c\/td\u003e\n\u003ctd\u003eEvent history modeling for economics and social sciences\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eIncludes software\u003c\/td\u003e\n\u003ctd\u003eIntroduces Transition Data Analysis (TDA) program\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eModel types covered\u003c\/td\u003e\n\u003ctd\u003eDiscrete-time and continuous-time event history models\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eTechniques of Event History Modeling, Second Edition is a worthwhile investment for applied researchers and graduate students who need a practical, up-to-date guide to using event history methods for causal analysis. Its combination of methodological explanation and software orientation makes it good value for those who will implement longitudinal models in empirical work.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this book explain software for estimation?\u003c\/strong\u003e\u003cbr\u003eYes, the book introduces the Transition Data Analysis (TDA) program and explains how it estimates discrete-time and continuous-time event history models.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eIs this suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eIt is intended as an introductory account of event history modeling, but it assumes familiarity with longitudinal research concepts rather than elementary statistics.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eWhat fields benefit most from this book?\u003c\/strong\u003e\u003cbr\u003eResearchers in economics and the social sciences who analyze longitudinal data and need clearer causal interpretation from time-dependent models will benefit most.\u003c\/p\u003e","brand":"Hans-Peter Blossfeld, Gtz Rohwer","offers":[{"title":"Default Title","offer_id":48759185440987,"sku":"0805840915","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/51GyajG33qL._SL1360.jpg?v=1778390372","url":"https:\/\/gearmusthave.com\/products\/techniques-of-event-history-modeling-second-edition-practical","provider":"GearMustHave","version":"1.0","type":"link"}