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Learning microeconometrics with R / [electronic resource]
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Adams, Christopher P., author. |
| 서명/저자사항 | Learning microeconometrics with R /Christopher P. Adams.[electronic resource] |
| 발행사항 | Boca Raton, FL : CRC Press, 2020. |
| 형태사항 | 1 online resource (xxx, 368 pages). |
| 총서사항 | Chapman & Hall/CRC The R Series |
| 소장본 주기 | OCLC control number change |
| ISBN | 9780429288333 0429288336 9781000282429 1000282422 9781000282467 1000282465 9781000282382 1000282384 |
| 기타표준부호 | 10.1201/9780429288333doi |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | 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 |
| 요약 | 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. |
| 일반주제명 | Microeconomics. R (Computer program language) MATHEMATICS / Probability & Statistics / General Microeconomics. R (Computer program language) |
| 언어 | 영어 |
| 기타형태 저록 | Print version :9780367255381 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2701041 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00020528 | 338.5 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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