Beginning with the practices of and the problems faced by model builders, this book discusses the modeling process and the testing of models.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Lawrence Boland has been teaching at Simon Fraser University since 1966. He has also taught at the University of Wisconsin, Milwaukee and was a visiting professor in the Department of Economics at Boston University. At Capilano College and Vancouver Community College, he taught introductory sociology. He is a Fellow of the Royal Society of Canada. Dr Boland has published six books on economic methodology, including The Foundations of Economic Method: A Popperian Perspective (2003); The Principles of Economics: Some Lies My Teachers Told Me (1992); and The Methodology of Economic Model Building: Methodology after Samuelson (1989).
Inhaltsangabe
1. Microeconomic vs macroeconomic in theoretical model building 2. On the limitations of equilibrium models in general 3. On building theoretical models using game theory 4. On the purpose and limitations of game-theoretic models 5. Microeconomic vs macroeconomic in empirical model building 6. On building macroeconometric models 7. Modeling and forecasting 8. On the role and limitations of experimental and behavioral economics 9. The logical adequacy of convincing tests of models using empirical data 10. The statistical adequacy of convincing tests of models using empirical data 11. Model building from a philosophy of science perspective 12. Choosing model-building methods.
1. Microeconomic vs macroeconomic in theoretical model building 2. On the limitations of equilibrium models in general 3. On building theoretical models using game theory 4. On the purpose and limitations of game-theoretic models 5. Microeconomic vs macroeconomic in empirical model building 6. On building macroeconometric models 7. Modeling and forecasting 8. On the role and limitations of experimental and behavioral economics 9. The logical adequacy of convincing tests of models using empirical data 10. The statistical adequacy of convincing tests of models using empirical data 11. Model building from a philosophy of science perspective 12. Choosing model-building methods.
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