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Empirical Economic Model Discovery and Theory Evaluation

Author

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  • David Hendry

Abstract

Economies are so high dimensional and non-constant that many features of models cannot be derived by prior reasoning, intrinsically involving empirical discovery and requiring theory evaluation. Despite important differences, discovery and evaluation in economics are similar to those of science. Fitting a pre-specified equation limits discovery, but automatic methods can formulate much more general models with many variables, long lag lengths and non-linearities, allowing for outliers, data contamination, and parameter shifts; select congruent parsimonious-encompassing models even with more candidate variables than observations, while embedding the theory; then rigorously evaluate selected models to ascertain their viability.

Suggested Citation

  • David Hendry, 2011. "Empirical Economic Model Discovery and Theory Evaluation," Economics Series Working Papers 529, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:529
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Economic Logician Displaying Precisely No Logic
      by James Reade in Christianity and Econometrics on 2011-03-25 01:58:00
    2. Modelling without theory
      by Economic Logician in Economic Logic on 2011-03-23 18:59:00

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    Cited by:

    1. Marçal, Emerson Fernandes & Cunha, Ronan & Merlin, Giovanni Tondin & Simões, Oscar, 2017. "The aftermath of 2008 turmoil on Brazilian economy: Tsunami or “Marolinha”?," Textos para discussão 459, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Peter Burridge, 2011. "A research agenda on general-to-specific spatial model search," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 71-90.
    3. Qin, Duo & Xu, Zhong & Zhang, Xuechun, 2014. "How much informal credit lending responded to monetary policy in China? The case of Wenzhou," Journal of Asian Economics, Elsevier, vol. 31, pages 22-31.
    4. Subhadeep Mukhopadhyay & Emanuel Parzen, 2018. "Nonlinear Time Series Modeling: A Unified Perspective, Algorithm and Application," JRFM, MDPI, vol. 11(3), pages 1-17, July.
    5. Hendry, David F. & Johansen, Søren, 2015. "Model Discovery And Trygve Haavelmo’S Legacy," Econometric Theory, Cambridge University Press, vol. 31(1), pages 93-114, February.
    6. Marçal, Emerson Fernandes & Zimmermann, Beatrice Aline & Mendonça, Diogo de Prince & Merlin, Giovanni Tondin & Simões, Oscar Rodrigues, 2016. "Assessing global economic activity linkages: an empirical exercise based on global autoregressive regression," Textos para discussão 416, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

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    Keywords

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    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General

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