Abstract
Economic growth is one of the most important macroeconomic phenomena. With economic growth comes the possibility of improving the living standards of all in a society. Economic growth has been studied by all generations of economists. Economists have used optimal control theory and dynamic programming to formalize the study of economic growth, yielding many important insights. Unfortunately, most of these methods are generally qualitative and do not yield the kind of precise quantitative solutions necessary for econometric analysis and policy analysis.
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References
Bensoussan, A. Perturbation Methods in Optimal Control. John Wiley and Sons, 1988.
Cuyt, A. and L. Wuytack, Nonlinear Numerical Methods: Theory and Practice, Amsterdam: North-Holland, 1986.
Judd, K. L. Numerical Methods in Economics, December, 1991, Hoover Institution.
Judd, K. L. Perturbation Methods for Solving Dynamic Economic Models, November, 1991, Hoover Institution.
Judd, K. L., and Sy-Ming Guu, “Asymptotic Methods in Aggregate Growth Models,” Journal of Economic Dynamics and Control (forthcoming).
Taylor, J., and H. Uhlig. “Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods,” Journal of Business and Economic Statistics 8 (January, 1990): 1–18.
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© 1993 Springer Science+Business Media New York
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Judd, K.L., Guu, SM. (1993). Perturbation Solution Methods for Economic Growth Models. In: Varian, H.R. (eds) Economic and Financial Modeling with Mathematica®. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2281-9_4
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DOI: https://doi.org/10.1007/978-1-4757-2281-9_4
Publisher Name: Springer, New York, NY
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Online ISBN: 978-1-4757-2281-9
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