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Dynamic Programming: An Introduction by Example

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  • Joachim Zietz

Abstract

Some basic dynamic programming techniques are introduced by way of example with the help of the computer algebra system Maple. The emphasis is on building confidence and intuition for the solution of dynamic problems in economics. To better integrate the material, the same examples are used to introduce different techniques. One covers the optimal extraction of a natural resource, another consumer utility maximization, and the final example solves a simple real business cycle model. Every example is accompanied by Maple computer code to make replication and extension easy.

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File URL: http://capone.mtsu.edu/berc/working/Zietz-DP-1.pdf
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Paper provided by Middle Tennessee State University, Department of Economics and Finance in its series Working Papers with number 200405.

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Date of creation: Sep 2004
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Handle: RePEc:mts:wpaper:200405

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Web page: http://www.mtsu.edu/~berc/working/Economics_Working_Papers.html
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Keywords: Dynamic Programming; Computer-Aided Solutions; Learning by Example;

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  1. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  2. Jerome Adda & Russell W. Cooper, 2003. "Dynamic Economics: Quantitative Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012014, December.
  3. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
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