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Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies

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  • Advani, Arun

    ()
    (Institute for Fiscal Studies, London)

  • Sloczynski, Tymon

    ()
    (Warsaw School of Economics)

Abstract

In this paper we evaluate the premise from the recent literature on Monte Carlo studies that an empirically motivated simulation exercise is informative about the actual ranking of various estimators when applied to a particular problem. We consider two alternative designs and provide an empirical test for both of them. We conclude that a necessary condition for the simulations to be informative about the true ranking is that the treatment effect in simulations must be equal to the (unknown) true effect. This severely limits the usefulness of such procedures, since were the effect known, the procedure would not be necessary.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 7874.

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Length: 35 pages
Date of creation: Dec 2013
Date of revision:
Handle: RePEc:iza:izadps:dp7874

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Keywords: empirical Monte Carlo studies; programme evaluation; treatment effects;

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Cited by:
  1. Tymon Sloczynski, 2012. "The Oaxaca-Blinder unexplained component as a treatment effects estimator," Working Papers 61, Department of Applied Econometrics, Warsaw School of Economics.

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