Dynamic Economics (Record no. 16939)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02244nam a2200181 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780262547888 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 330.1 |
| Item number | A22D |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Adda, Jerome |
| Personal name | Cooper, Russell W. |
| 245 ## - TITLE STATEMENT | |
| Title | Dynamic Economics |
| Sub Title | : Quantitative Methods and Applications |
| Statement of responsibility, etc | by Jerome Adda and Russell W. Cooper |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Cambridge: |
| Name of publisher | The MIT Press, |
| Year of publication | 2003. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xi, 279p. |
| Other physical details | PB |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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.<br/><br/>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.<br/><br/>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 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Economics |
| Topical Term | Dynamic Economics |
| Topical Term | Economic modeling |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| General Section | S. R. Ranganathan Learning Hub | S. R. Ranganathan Learning Hub | General Section | 2024-12-04 | T V Enterprises | 330.1 A22D | 13457 | 2024-12-04 | Book | ||||
| General Section | S. R. Ranganathan Learning Hub | S. R. Ranganathan Learning Hub | General Section | 2024-12-04 | T V Enterprises | 330.1 A22D | 13470 | 2024-12-04 | Book |