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Language: German
Published by Hofmann GmbH & Co. KG, 2018
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Language: German
Published by Hofmann GmbH & Co. KG, 2018
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Published by Hofmann GmbH & Co. KG, 2018
ISBN 10: 3778014811 ISBN 13: 9783778014813
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Published by Hofmann GmbH & Co. KG, 2018
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Published by Hofmann GmbH & Co. KG, 2018
ISBN 10: 3778014811 ISBN 13: 9783778014813
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Published by Hofmann GmbH & Co. KG, 2024
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Language: German
Published by Hofmann GmbH & Co. KG, 2018
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Published by Bod - Books on Demand, 2000
ISBN 10: 3898114325 ISBN 13: 9783898114325
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Illustriertes Original-Heft; 4°; 20 Seiten; mit farbigen Abbildungen. Sehr gutes Exemplar. Sprache: Deutsch 120 gr.
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Published by Books On Demand 2000-07-03, 2000
ISBN 10: 3898114325 ISBN 13: 9783898114325
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Published by Provincie West-Vlaanderen, 2015
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Hardcover Feb 04, 2009. Condition: Sammlerstück; akzeptabel. Hardcover, die Bindung im Buch ist defekt (Druckereifehler), ansonsten ist das Buch ungebraucht.
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Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 364210083X ISBN 13: 9783642100833
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Taschenbuch. Condition: 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.