This book provides a simple, intuitive introduction to regression models for qualitative and discrete dependent variables, to sample selection models, and to event history models, all in the context of maximum likelihood estimation. Coverage extends to a wide range of commonly used models. The book enables the reader to be a more critical consumer of current empirical social science research and to conduct original empirical analyses. It can be used as a textbook for an advanced undergraduate, Masters or first-year Ph.D. course in microdata analysis, as a supplementary text to an applied microeconomics field course, or as a practical reference for practitioners and researchers. The book includes numerous examples, illustrations, and exercises.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This second edition introduces regression models for qualitative and discrete dependent variables, to sample selection models, and to event history models, all in the context of maximum likelihood estimation. It presents a number of commonly used models.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book, now initssecondedition,istofamiliarizethereaderwithawiderangeofcom monly used models, and thereby to enable her/him to become a critical consumer of current empirical research, and to properly conduct own empirical analyses. The book can be used as a textbook for an advanced undergraduate, a Master's or a rst-year Ph.D. course on the topic of microdata analysis. In economicsandrelateddisciplines,suchacourseistypicallyo eredaftera rst course on the linear regression model. Alternatively, the book can also serve as a supplementary text to applied eld courses, such as those dealing with empirical analyses in labor, health or education. Finally, it might provide a useful reference for graduate students, researchers and practitioners who encounter microdata in their work. The focus of the book is on regression-type models in the context of large cross-section samples where the dependent variable is qualitative or discrete, or where the sample is not randomly drawn from the population of interest, due to censoring or truncation of the dependent variable. While our ba- groundisineconomics,andweoccasionallyrefertoproblemsandapplications fromempiricaleconomics,themodelsdiscussedinthisbookshouldbee qually relevant wherever microdata are used, inside the social sciences, including for example quantitative political science and sociology, as well as outside. 360 pp. Englisch. N° de réf. du vendeur 9783642100833
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Can be used as a textbook for undergraduate, Master`s or first-year Ph.D. students in economics and related disciplines as well a supplementary text to an applied microeconomics field course (e. g. areas of labor economics, health economics a.s.o.). N° de réf. du vendeur 5049064
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Taschenbuch. Etat : Neu. Analysis of Microdata | Stefan Boes (u. a.) | Taschenbuch | xiv | Englisch | 2010 | Springer-Verlag GmbH | EAN 9783642100833 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 107074819
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Taschenbuch. Etat : Neu. Neuware -The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book, now initssecondedition,istofamiliarizethereaderwithawiderangeofcom monly used models, and thereby to enable her/him to become a critical consumer of current empirical research, and to properly conduct own empirical analyses. The book can be used as a textbook for an advanced undergraduate, a Master¿s or a rst-year Ph.D. course on the topic of microdata analysis. In economicsandrelateddisciplines,suchacourseistypicallyo eredaftera rst course on the linear regression model. Alternatively, the book can also serve as a supplementary text to applied eld courses, such as those dealing with empirical analyses in labor, health or education. Finally, it might provide a useful reference for graduate students, researchers and practitioners who encounter microdata in their work. The focus of the book is on regression-type models in the context of large cross-section samples where the dependent variable is qualitative or discrete, or where the sample is not randomly drawn from the population of interest, due to censoring or truncation of the dependent variable. While our ba- groundisineconomics,andweoccasionallyrefertoproblemsandapplications fromempiricaleconomics,themodelsdiscussedinthisbookshouldbee qually relevant wherever microdata are used, inside the social sciences, including for example quantitative political science and sociology, as well as outside.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 360 pp. Englisch. N° de réf. du vendeur 9783642100833
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book, now initssecondedition,istofamiliarizethereaderwithawiderangeofcommonly used models, and thereby to enable her/him to become a critical consumer of current empirical research, and to properly conduct own empirical analyses. The book can be used as a textbook for an advanced undergraduate, a Master's or a rst-year Ph.D. course on the topic of microdata analysis. In economicsandrelateddisciplines,suchacourseistypicallyo eredaftera rst course on the linear regression model. Alternatively, the book can also serve as a supplementary text to applied eld courses, such as those dealing with empirical analyses in labor, health or education. Finally, it might provide a useful reference for graduate students, researchers and practitioners who encounter microdata in their work. The focus of the book is on regression-type models in the context of large cross-section samples where the dependent variable is qualitative or discrete, or where the sample is not randomly drawn from the population of interest, due to censoring or truncation of the dependent variable. While our ba- groundisineconomics,andweoccasionallyrefertoproblemsandapplications fromempiricaleconomics,themodelsdiscussedinthisbookshouldbeequally relevant wherever microdata are used, inside the social sciences, including for example quantitative political science and sociology, as well as outside. N° de réf. du vendeur 9783642100833
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