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Mathematica as an Environment for Doing Economics and Econometrics

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  • Belsley, David A

Abstract

Today's graduate students in economics must master early on a computational environment suitable for their research needs. A ease is made here why Mathematica is an eminently reasonable choice for this purpose for many students. Salient features of Mathematica are examined in this context, and the breadth of economic research accomplished in Mathematica is illustrated. Citation Copyright 1999 by Kluwer Academic Publishers.

Suggested Citation

  • Belsley, David A, 1999. "Mathematica as an Environment for Doing Economics and Econometrics," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 69-87, October.
  • Handle: RePEc:kap:compec:v:14:y:1999:i:1-2:p:69-87
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    Cited by:

    1. Luke Olson & Max Jerrell & Ryder Delaloye, 2005. "A Computer Algebra Primer and Homework Exercises for use in an Intermediate Macroeconomics Course – A Student/Teacher Collaboration," Computational Economics, Springer;Society for Computational Economics, vol. 26(3), pages 51-58, November.
    2. Vieira, Wilson da Cruz & Lelis, Levi H. Santana de, 2005. "Programming languages in economics: a comparison among Fortran77, C++, and Java," Revista de Economia e Agronegocio / Brazilian Review of Economics and Agribusiness, Federal University of Vicosa, Department of Agricultural Economics, vol. 3(3).
    3. Tomasz Kopczewski, 2015. "Think not calculate! Implementation of Felix Klein postulates in economic education with CAS software," Working Papers 2015-38, Faculty of Economic Sciences, University of Warsaw.
    4. Halkos, George & Tsilika, Kyriaki, 2016. "Measures of correlation and computer algebra," MPRA Paper 70200, University Library of Munich, Germany.
    5. Tim Kochanski, 2007. "Moving Economic Models from the Chalk Board to the Computer: A Computer-Based Assignment Based on a Dynamic Cournot Model," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 19(1), pages 24-32.

    More about this item

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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