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Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies

Arun Advani and Tymon Słoczyński

No CWP64/13, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies

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.

Date: 2013-12-29
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Related works:
Working Paper: Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies (2018) Downloads
Working Paper: Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies (2018) Downloads
Working Paper: Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies (2018) Downloads
Working Paper: Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies (2013) Downloads
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