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The Role of Hypothesis Testing in the Molding of Econometric Models

Author

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  • Kevin D. Hoover

Abstract

The paper is a keynote lecture from the Tilburg-Madrid Conference on Hypothesis Tests: Foundations and Applications at the Universidad Nacional de Educación a Distancia (UNED) Madrid, Spain, 15-16 December 2011. It addresses the role of tests of statistical hypotheses (specification tests) in selection of a statistically admissible model in which to evaluate economic hypotheses. The issue is formulated in the context of recent philosophical accounts on the nature of models and related to some results in the literature on specification search.

Suggested Citation

  • Kevin D. Hoover, 2012. "The Role of Hypothesis Testing in the Molding of Econometric Models," Center for the History of Political Economy Working Paper Series 2012-03, Center for the History of Political Economy.
  • Handle: RePEc:hec:heccee:2012-3
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    File URL: http://hope.econ.duke.edu/node/482
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    Cited by:

    1. Tae-Hwy Lee & Zhou Xi & Ru Zhang, 2013. "Testing for Neglected Nonlinearity Using Regularized Artificial Neural Networks," Working Papers 201422, University of California at Riverside, Department of Economics, revised Apr 2012.

    More about this item

    Keywords

    statistical testing; hypothesis tests; models; general-to-specific specification search; optional stopping; severe tests; costs of search; costs of inference; extreme-bounds analysis; LSE econometric methodology;
    All these keywords.

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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