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Notas sobre un plan de estudios de economía del mundo real

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  • Paul Ormerod

Abstract

Propongo una reforma radical y ramificada del plan de estudios. Aún se debería enseñar el modelo básico de comportamiento del agente de la economía tradicional, pues no es totalmente irrelevante para el mundo real. Pero solo debería ser una de las numerosas formas de comportamiento de los agentes y no la única. La teoría del comercio internacional, en su versión Sraffa-Ricardo, tiene muchos aspectos recomendables. La literatura sobre econometría de corte trasversal inspirada por Heckman es también muy importante. Es inevitable incluir muchas cosas del plan de estudios estándar. Pero las reformas que propondría son, en resumen: enseñar macro desde la perspectiva de algunos episodios importantes de la historia económica, enseñar a usar el software moderno de simulación para explorar el comportamiento fuera del equilibrio; enseñar modelos alternativos de toma de decisiones de los agentes; enseñar teoría de redes, y a usarla para relajar el supuesto de que los agentes actúan independientemente con gustos y preferencias fijos.

Suggested Citation

  • Paul Ormerod, 2013. "Notas sobre un plan de estudios de economía del mundo real," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 15(29), pages 13-20, July-Dece.
  • Handle: RePEc:rei:ecoins:v:15:y:2013:i:29:p:13-20
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    File URL: http://www.uexternado.edu.co/facecono/ecoinstitucional/workingpapers/ormerod29.pdf
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    References listed on IDEAS

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    1. Robinson, Joan, 1978. "Contributions to Modern Economics," Elsevier Monographs, Elsevier, edition 1, number 9780125905503.
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    More about this item

    Keywords

    historia económica; simulación; redes; no equilibrio;

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • B59 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Other
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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