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Learning microeconometrics with R / Christopher P. Adams.

By: Adams, Christopher PMaterial type: Text

TextLanguage: English Series: Chapman & Hall/CRC The R SeriesPublisher: Boca Raton, FL : CRC Press, 2020Description: xxx, 368 pages : illustrations ; 24 cmISBN: 9780367255381Subject(s): Microeconomics | Econometrics | Statistics -- Computer programs | Game theory | R (Computer program language)DDC classification: 338.501 Summary: "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"--

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Item type	Current location	Call number	Status	Date due	Barcode
Books	Institute of Public Enterprise, Library S Campus	338.501 ADM (Browse shelf)	Available		45820

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Previous	338.5 SIN Take-overs: their relevance to the stock market and the theory of the firm /	338.5 TIR Theory of industrial organization /	338.5 WIL Emergence of the theory of the firm: from Adam Smith to Alfred Marshall /	338.501 ADM Learning microeconometrics with R /	338.52 BAL.A Adjustment policies in developing countries,1979-83;an update	338.52 BAN Pricing polices in public sector /	338.52 DOR.P Prices and Markts /	Next

Includes bibliographical references and index.

"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"--

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