AUTORS Adda, Jerome
NOSAUKUMS Dynamic Economics : Quantitative Methods and Applications / Jerome Adda and Russell Cooper.
MIT Press
APJOMS XI, 279 p.
BIBLIOGRĀFIJA Includes bibliographical references and index
CITI AUTORI Cooper, Russell W.
ISBN 9780262012010


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1 Overview 1
I Theory  
2 Theory of Dynamic Programming 7
3 Numerical Analysis 33
4 Econometrics 61
II Applications  
5 Stochastic Growth 103
6 Consumption 139
7 Durable Consumption 165
8 Investment 187
9 Dynamics of Employment Adjustment 215
10 Future Developments 241
Bibliography 265
Index 275


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 Authors

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.

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