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Teaching Numerical Methods in an Applied Economics Department

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Author Info
Mario J. Miranda

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Abstract

With proper choices of subject matter and efficient instructional techniques, graduate students from diverse fields of economics can acquire sufficient computational skill to allow them to conduct innovative research requiring the solution of analytically intractable economic models. I will discuss instructional strategies for teaching an introductory one-semester graduate-level course in computational economics, drawing on my 15 years of experience in teaching first- and second-year doctoral students in macro-, agricultural, environmental, and development economics and in finance.

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Publisher Info
Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2004 with number 334.

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Date of creation: 11 Aug 2004
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Handle: RePEc:sce:scecf4:334

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Web page: http://comp-econ.org/
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Related research
Keywords: Teaching Computational Economics

Find related papers by JEL classification:
A2 - General Economics and Teaching - - Economics Education and Teaching of Economics

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This page was last updated on 2008-8-5.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.