Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
Language: English
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Published by Chapman and Hall/CRC 2020-12-03, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
Language: English
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Published by Taylor & Francis Group, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
Language: English
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Published by Taylor & Francis Group, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
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Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
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Published by Chapman and Hall/CRC, 2020
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Published by Taylor & Francis Group, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
Language: English
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Add to baskethardcover. Condition: Gut. 398 Seiten; 9780367255381.3 Gewicht in Gramm: 1.
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Add to basketHardcover. Condition: Brand New. 376 pages. 9.25x6.00x1.00 inches. In Stock.
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367255383 ISBN 13: 9780367255381
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It is aimed at the general reader with the equivalent of a bachelor's degree in economics, statistics or some more technical field. It covers the standard tools of microeconometrics, OLS, instrumental variables, Heckman selection and difference in difference. In addition, it introduces bounds, factor models, mixture models and empirical Bayesian analysis.Key Features:Focuses on the assumptions underlying the algorithms rather than their statistical properties.Presents cutting-edge analysis of factor models and finite mixture models.Uses a hands-on approach to examine the assumptions made by the models and when the models fail to estimate accurately.Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems.Introduces R programming concepts throughout the book.Includes appendices that discuss some of the standard statistical concepts and R programming used in the book. 398 pp. Englisch.
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Add to basketHardcover. Condition: Brand New. 376 pages. 9.25x6.00x1.00 inches. In Stock. This item is printed on demand.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Chris Adams was born and raised in Melbourne Australia and is a lifelong Carlton supporter. Chris received his PhD in economics from the University of Wisconsin - Madison. He has taught at the University of Vermont and in the Johns Hopki.
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It is aimed at the general reader with the equivalent of a bachelor's degree in economics, statistics or some more technical field. It covers the standard tools of microeconometrics, OLS, instrumental variables, Heckman selection and difference in difference. In addition, it introduces bounds, factor models, mixture models and empirical Bayesian analysis.Key Features:Focuses on the assumptions underlying the algorithms rather than their statistical properties.Presents cutting-edge analysis of factor models and finite mixture models.Uses a hands-on approach to examine the assumptions made by the models and when the models fail to estimate accurately.Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems.Introduces R programming concepts throughout the book.Includes appendices that discuss some of the standard statistical concepts and R programming used in the book.