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Specification Problems in Econometrics

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The New Palgrave Dictionary of Economics
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Abstract

The theory of econometrics presumes a ‘specification’ that selects a sharp borderline between (a) assumptions that are maintained and (b) questions that the data are allowed to address. For example, one might treat the list of variables in a regression model as known with certainty but the ‘coefficients’ of these variables as uncertain. In practice, a wide and fuzzy border between the maintained assumptions and the uncertain assumptions causes great ambiguity in the inferences economists draw from their non-experimental data.

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Bibliography

  • Box, G.E.P. 1980. Sampling and Bayes’ inference in scientific modelling and robustness. Journal of the Royal Statistical Society 143: 383–430.

    Article  Google Scholar 

  • Judge, G.G., and M.E. Bock. 1983. Biased estimation. In Handbook of econometrics, ed. Z. Griliches and M. Intriligator, vol. 1. Amsterdam: North-Holland.

    Google Scholar 

  • Krasker, W.S., E. Kuh, and R.E. Welsch. 1983. Estimation for dirty data and flawed models. In Handbook of econometrics, ed. Z. Griliches and M. Intriligator, vol. 1. Amsterdam: North-Holland.

    Google Scholar 

  • Leamer, E.E. 1978. Specification searches. New York: Wiley.

    Google Scholar 

  • Leamer, E.E. 1982. Sets of posterior means with bounded variance priors. Econometrica 50: 725–736.

    Article  Google Scholar 

  • Leamer, E.E. 1983a. Let’s take the con out of econometrics. American Economic Review 73: 31–43.

    Google Scholar 

  • Leamer, E.E. 1983b. Model choice and specification analysis. In Handbook of econometrics, ed. Z. Griliches and M. Intriligator, vol. 1. Amsterdam: North-Holland.

    Google Scholar 

  • Ramsey, J.B. 1969. Tests for specification errors in classical linear least squares regression analysis. Journal of the Royal Statistical Society 32: 350–371.

    Google Scholar 

  • Theil, H. 1957. Specification errors and the estimation of economic relationships. Review of the International Statistical Institute 25: 41–51.

    Article  Google Scholar 

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Leamer, E.E. (2018). Specification Problems in Econometrics. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_1287

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