Microeconomics
著者
書誌事項
Microeconomics
(Blackwell handbooks in economics, . Handbook of applied econometrics ; vol. 2)
Blackwell, 1997
大学図書館所蔵 全51件
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  福岡
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注記
Includes bibliographical references and indexes
内容説明・目次
内容説明
This volume is a major new survey of the latest developments in applied econometrics focusing on key topics in microeconometrics. Each topic is written by a leading international expert specially commissioned to address the methodological problems of undertaking empirical work in economics. The volume editors have focused on specific microeconometric applications, rather than on conventional econometric theory. The Handbook of Applied Econometrics covers the econometric issues involved in a variety of applied microeconomic problems:* the measurement of productivity* frontier production functions and the measurement of efficiency* consumer demand* income inequality and economic welfare* estimation of models of dynamic optimization* search models and duration data* quasi-likelihood methods for count data* analysis of business surveysAn authoritative overview of the applied work going on in the field, this will be an essential resource for academics, researchers, graduate students and professional economists in industry and government.
目次
List of Figures. List of Tables. List of Contributors. Preface. 1. Introduction: M. Hashem Pesaran (University of Cambridge) and Peter Schmidt (Michigan State University). 2. Index Number and Factor Demand Approaches to the Estimation of Productivity: David H. Good (Indiana University), M. Ishaq Nadiri (New York University) and Robin C. Sickles (Rice University). 3. Frontier Production Functions: William H. Greene (New York University). 4. Consumer Demand Systems and Household Equivalence Scales: Arthur Lewbel (Brandeis University). 5. Empirical Analyses of Inequality and Welfare: Esfandiar Maasoumi (Southern Methodist University). 6. Estimating Models of Dynamic Optimization with Microeconomic Data: Robert A. Miller (Carnegie Mellon University). 7. Search Models and Duration Data: George R. Neumann (University of Iowa). 8. Quasi Likelihood Methods for Count Data: Jeffrey M. Wooldridge (Michigan State University). 9. Analysis of Business Surveys: Klaus F. Zimmermann (University of Munich). Index.
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