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Learning microeconometrics with R /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Learning microeconometrics with R /Christopher P. Adams.
作者:	Adams, Christopher P.,
面頁冊數:	1 online resource (xxx, 368 pages)
標題:	Microeconomics.
電子資源:	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2701041
電子資源:	https://www.taylorfrancis.com/books/e/9780429288333
電子資源:	http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781000282382
電子資源:	https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781000282467
ISBN:	9780429288333

Learning microeconometrics with R /
Adams, Christopher P.,

Learning microeconometrics with R /Christopher P. Adams. - 1 online resource (xxx, 368 pages) - Chapman & Hall/CRC The R Series.

Includes bibliographical references and index.

I. Experiments. 1. Ordinary Least Squares. 2. Multiple Regression. 3. Instrumental Variables4. Bounds Estimation. II. Structural Estimation. 5. Estimating Demand. 6. Estimating Selection Models. 7. Demand Estimation with IV8. Estimating Games. 9. Estimating Auction ModelsIII. Repeated Measurement. 10. Panel data. 11. Synthetic Controls. 12. Mixture Models. IV. Appendices. A. Measuring Uncertainty. B. Statistical Programming in RAcknowledgements Bibliography

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.

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 Hopkins' Masters of Applied Economics program. He has 17 years experience working in merger regulation and antitrust for the US Federal Trade Commission. He is currently a Principal Analyst at the US Congressional Budget Office. Chris' work and research focus on econometrics, empirical industrial organization, pharmaceutical innovation and auctions. His work has been published in various academic journals including The Econometrics Journal, Health Affairs, Health Economics, Marketing Science and Economics Letters. Chris is a colon cancer survivor and a research patient advocate with ECOG-ACRIN. Most importantly, he is a father to CJ and husband to Deena.

ISBN: 9780429288333

Standard No.: 10.1201/9780429288333doi

Source: 9780429288333Taylor & Francis

Nat. Bib. No.: GBC0G4754bnb

Nat. Bib. Agency Control No.: 019984922UkSubjects--Topical Terms:

182798
Microeconomics.

LC Class. No.: HB172

Dewey Class. No.: 338.5

Learning microeconometrics with R /
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520 $a 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.
545 0 $a 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 Hopkins' Masters of Applied Economics program. He has 17 years experience working in merger regulation and antitrust for the US Federal Trade Commission. He is currently a Principal Analyst at the US Congressional Budget Office. Chris' work and research focus on econometrics, empirical industrial organization, pharmaceutical innovation and auctions. His work has been published in various academic journals including The Econometrics Journal, Health Affairs, Health Economics, Marketing Science and Economics Letters. Chris is a colon cancer survivor and a research patient advocate with ECOG-ACRIN. Most importantly, he is a father to CJ and husband to Deena.
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https://www.taylorfrancis.com/books/e/9780429288333
http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781000282382
https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781000282467

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