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Linking the Theory with the Data: That is the Core Problem of International Economics

In: Handbook of Econometrics

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  • Leamer, Edward E.

Abstract

The greatest problem for empirical analysis is how best to allow the context to affect the inferences. Econometric theory presupposes contextual "restrictions" that can be taken as given or assigned a probability distribution. These contextual inputs are rarely available. I illustrate this point with a review of the empirical work in international economics which has focused not on properties of estimators but instead how best to link the theory with the data. I argue that the two errors we should worry about are not rejecting a true null or accepting a false null but rather taking the theory too seriously and not taking the theory seriously enough.

Suggested Citation

  • Leamer, Edward E., 2007. "Linking the Theory with the Data: That is the Core Problem of International Economics," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 67, Elsevier.
    • Handle: RePEc:eee:ecochp:6a-67
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    Cited by:

    1. Armstrong, Christopher S. & Kepler, John D., 2018. "Theory, research design assumptions, and causal inferences," Journal of Accounting and Economics, Elsevier, vol. 66(2), pages 366-373.
    2. Jonathan E. Haskel, 2000. "Trade and Labor Approaches to Wage Inequality," Review of International Economics, Wiley Blackwell, vol. 8(3), pages 397-408, August.
    3. Eamon Duede & Victor Zhorin, 2016. "Convergence of Economic Growth and the Great Recession as Seen From a Celestial Observatory," Papers 1604.04312, arXiv.org, revised Aug 2016.

    More about this item

    JEL classification:

    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other

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