The Econometric SocietyEdited by: Guido W. Imbens • Print ISSN: 0012-9682 • Online ISSN: 1468-0262
Econometrica: Sep, 1989, Volume 57, Issue 5
https://doi.org/0012-9682(198909)57:5<1027:SATAOO>2.0.CO;2-R
p. 1027-1057
Ariel Pakes, David Pollard
A general central limit theorem is proved for estimators defined by minimization of the length of a vector-valued, random criterion function. No smoothness assumptions are imposed on the criterion function, in order that the results might apply to a broad class of simulation estimators. Complete analyses of two simulation estimators, one introduced by Pakes and the other by McFadden, illustrate the application of the general theorems.
