Computational Economics: Help for the Underestimated Undergraduate
AbstractOur concern in this paper is that the capability of economics undergraduates is substantially underestimated in the design of the present college curriculum and that our students are insufficiently challenged and motivated. Students enter our classrooms with substantial previous knowledge about computers and computation and we are not taking full advantage of this opportunity. We suggest a set of examples from computational economics which are challenging enough to motivate students and simple enough that they can master them within a few hours. By encouraging the students to modify the models in directions of their own interest avenues for creative endeavor are opened which deeply involve the students in their own education.
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Bibliographic InfoArticle provided by Society for Computational Economics in its journal Computational Economics.
Volume (Year): 27 (2006)
Issue (Month): 2 (May)
computational economics; undergraduate economics; teaching economics;
Other versions of this item:
- P. Ruben Mercado & David A. Kendrick, 2004. "Computational Economics: Help for the Underestimated Undergraduate," Computing in Economics and Finance 2004 71, Society for Computational Economics.
- Hans Amman & David Kendrick & Ruben Mercado, 2004. "Computational Economics: Help for the Underestimated Undergraduate," Computing in Economics and Finance 2004 347, Society for Computational Economics.
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
- Ann L Owen, 2007. "Integrating Computer Applications Into Economics Electives," International Review of Economic Education, Economics Network, University of Bristol, vol. 6(1), pages 77-92.
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