Teaching Numerical Methods in an Applied Economics Department

Mario Miranda ()

No 334, Computing in Economics and Finance 2004 from Society for Computational Economics

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.

Keywords: Teaching; Computational; Economics (search for similar items in EconPapers)
JEL-codes: A2 (search for similar items in EconPapers)
Date: 2004-08-11
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Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf4:334

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