Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/97399 
Year of Publication: 
2013
Series/Report no.: 
cemmap working paper No. CWP64/13
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
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.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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