The Computational Experiment
An Econometric Tool
Dados Bibliográficos
| ID | 4923913 |
|---|---|
| Autores | Finn E Kydland (Professor of Economics, Carnegie-Mellon University, Pittsburgh, Pennsylvania; Research Associate, Federal Reserve Bank of Cleveland, Cleveland, Ohio.), Edward C Prescott (Professor of Economics, University of Minnesota, Minneapolis, Minnesota; Research Associate, Federal Reserve Bank of Minneapolis, Minneapolis, Minnesota.) |
| Ano | 1996 |
| Volume | 10 |
| Fascículo | 1 |
| Páginas | 69-85 |
| Data de publicação | 1996-02-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | The Journal of Economic Perspectives (JOURNAL) |
| Identificadores do periódico | ISSN: 0895-3309 • E-ISSN: 1944-7965 |
| Editora | American Economic Association (PUBLISHER • US) |
| DOI | 10.1257/jep.10.1.69 |
| OpenAlex | W2160586573 |
| Idioma | EN |
| Citações recebidas | 25 |
| Referências citadas | 27 |
An economic experiment places people in an environment desired by the experimenter, who then records the time paths of their economic behavior. Performing experiments using actual people at the level of national economies is obviously impractical but constructing a model economy and computing the economic behavior of the model's people is. Such experiments are termed 'computational' because economic behavior of the model's people is computed. This essay specifies the steps in designing a computational experiment to address some well-posed quantitative question. The computational experiment is an econometric tool used in the task of deriving the quantitative implications of theory
Computational economics · Computational model · Econometric model · Econometrics · Economic model · Economics · Macroeconomics · Management · Complex Systems and Time Series Analysis · Computer Science · Economic theories and models · Monetary Policy and Economic Impact · Artificial Intelligence
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| Obras citantes distintas | 25 |
|---|---|
| Citações por ano | 0,83 |
| Intervalo de citações | 1996 - 2025 (30) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 20 |