Techniques of event history modeling : new approaches to causal analysis / Hans-Peter Blossfeld, Götz Rohwer
Por: Blossfeld, Hans-Peter [aut. ]
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Colaborador(es): Rohwer, Götz [aut. ].
Tipo de material: 
TextoEditor: Mahwah : Lawrence Erlbaum Associates, 2002Edición: 2a ed.Descripción: x, 310 p. : il., gràf., taules ; 24 cm.ISBN: 0805840907.Tema(s): Anàlisi biogràfic -- Anàlisi -- Simulació per ordinadorGénero/Forma: ANÁLISIS BIOGRÁFICO | CICLO DE VIDA | DEMOGRAFÍA MATEMÁTICA | MODELOS | ESTRUCTURAS FAMILIARESResumen: ncluding 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.
| Tipo de ítem | Ubicación actual | Signatura | Estado | Notas | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|
Monografies
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Centre d'Estudis Demogràfics | AnàlisiBiogràfica-BLO (Navegar estantería) | Disponible | Localització: Prestatgeria Família | 007638 |
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ncluding 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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