에너지경제연구원 전자도서관

로그인

에너지경제연구원 전자도서관

자료검색

  1. 메인
  2. 자료검색
  3. 통합검색

통합검색

단행본

Dynamic economics: quantitative methods and applications

발행사항
Cambridge, Mass. : MIT Press, c2003
형태사항
xi, 279 p. ; 24 cm
서지주기
Includes bibliographical references and index
소장정보
위치등록번호청구기호 / 출력상태반납예정일
이용 가능 (1)
자료실E205715대출가능-
이용 가능 (1)
  • 등록번호
    E205715
    상태/반납예정일
    대출가능
    -
    위치/청구기호(출력)
    자료실
책 소개
An integrated approach to the empirical application of dynamic optimization programming models, for students and researchers.

This book is an effective, concise text for students and researchers that combines the tools of dynamic programming with numerical techniques and simulation-based econometric methods. Doing so, it bridges the traditional gap between theoretical and empirical research and offers an integrated framework for studying applied problems in macroeconomics and microeconomics.

In part I the authors first review the formal theory of dynamic optimization; they then present the numerical tools and econometric techniques necessary to evaluate the theoretical models. In language accessible to a reader with a limited background in econometrics, they explain most of the methods used in applied dynamic research today, from the estimation of probability in a coin flip to a complicated nonlinear stochastic structural model. These econometric techniques provide the final link between the dynamic programming problem and data. Part II is devoted to the application of dynamic programming to specific areas of applied economics, including the study of business cycles, consumption, and investment behavior. In each instance the authors present the specific optimization problem as a dynamic programming problem, characterize the optimal policy functions, estimate the parameters, and use models for policy evaluation.

The original contribution of Dynamic Economics: Quantitative Methods and Applications lies in the integrated approach to the empirical application of dynamic optimization programming models. This integration shows that empirical applications actually complement the underlying theory of optimization, while dynamic programming problems provide needed structure for estimation and policy evaluation.



About the Author

Jérôme Adda is a Lecturer in the Department of Economics at University College, London, and a Research Associate at the Institute of Fiscal Studies.

Russell Cooper is Professor in the Department of Economics at the University of Texas, Austin. He was formerly affiliated with Boston University and was a Visiting Scholar in the Research Department of the Federal Reserve Bank of Minneapolis.

목차
1. Overview Ⅰ. Theory 2. Theory of Dynamic Programming 3. Numerical Analysis 4. Econometrics Ⅱ. Applications 5. Stochastic Growth 6. Consumption 7. Durable Consumption 8. Investment 9. Dynamic of Employment Adjustment 10. Future Developments Bibliography Index