Wentworth
Institute of Technology
Dynamic economics : quantitative methods and applications /
Annotation
Saved in:
| Main Author: | |
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| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, Mass. :
MIT Press,
©2003.
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| Subjects: | |
| Online Access: |
Full text (Wentworth users only) |
| Local Note: | ProQuest Ebook Central |
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| 100 | 1 | |a Adda, Jérôme. | |
| 245 | 1 | 0 | |a Dynamic economics : |b quantitative methods and applications / |c Jérôme Adda and Russell Cooper. |
| 260 | |a Cambridge, Mass. : |b MIT Press, |c ©2003. | ||
| 300 | |a 1 online resource (xi, 279 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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 -- Dynamics of Employment Adjustment; 10 -- Future Developments; Bibliography; Index | |
| 520 | 8 | |a Annotation |b 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. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Economics, Mathematical. | |
| 650 | 0 | |a Macroeconomics |x Mathematical models. | |
| 650 | 0 | |a Econometric models. | |
| 700 | 1 | |a Cooper, Russell W., |d 1955- |1 https://id.oclc.org/worldcat/entity/E39PBJrckKKPCV4DcF7mbYQ6rq | |
| 758 | |i has work: |a Dynamic economics (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG4rywf3hqbP6KHbFJ3Hbq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Adda, Jérôme. |t Dynamic economics. |d Cambridge, Mass. : MIT Press, ©2003 |z 0262012014 |w (DLC) 2003042126 |w (OCoLC)51553192 |
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