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Simulation and the Asymptotics of Optimization Estimators

Authors: Pakes, Ariel; Pollard, David;

Simulation and the Asymptotics of Optimization Estimators

Abstract

On demontre un theoreme de limite centrale general pour des estimateurs definis par minimisation de la longueur d'une fonction de critere aleatoire a valeurs vectorielles. Aucune hypothese de regularite suffisante n'est imposee sur la fonction de critere, pour que les resultats puissent etre appliques a une classe d'estimlateurs de simulation assez large. Des analyses completes de deux estimateurs de simulation l'un introduit par Pakes, l'autre par McFadden, illustrent l'application des theoremes generaux

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
823
Top 0.1%
Top 0.1%
Top 10%
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