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Microfoundational Programs

In: Microfoundations Reconsidered

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  • Kevin D. Hoover

Abstract

The highly regarded contributors to the book argue that the standard narrative of microfoundations is likely to be unreliable. They therefore re-examine the history of the relationship of microeconomics and macroeconomics, starting from their emergence as self-consciously distinct fields within economics in the early 1930s. They seek to go beyond the conventional history that is often told and written by practicing economists. From different perspectives they challenge the association of microfoundations with Robert Lucas and rational expectations and offer both a more complete and a deeper reading of the relationship between micro and macroeconomics.

Suggested Citation

  • Kevin D. Hoover, 2012. "Microfoundational Programs," Chapters, in: Microfoundations Reconsidered, chapter 1, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14869_1
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    File URL: https://www.elgaronline.com/view/9781781004098.00008.xml
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    References listed on IDEAS

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    Cited by:

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    2. Aurélien Goutsmedt & Erich Pinzon-Fuchs & Matthieu Renault & Francesco Sergi, 2015. "Criticizing the Lucas Critique: Macroeconometricians' Response to Robert Lucas," Post-Print halshs-01179114, HAL.
    3. William A. Jackson, 2013. "The desocialising of economic theory," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 40(9), pages 809-825, July.
    4. Aurélien Goutsmedt, 2017. "Stagflation and the crossroad in macroeconomics: the struggle between structural and New Classical macroeconometrics," Documents de travail du Centre d'Economie de la Sorbonne 17043, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    5. Francesco Sergi, 2015. "L'histoire (faussement) naïve des modèles DSGE," Documents de travail du Centre d'Economie de la Sorbonne 15066, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    6. Samuel Bjork & Avner Offer & Gabriel Söderberg, 2014. "Time series citation data: the Nobel Prize in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 185-196, January.

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