Closest Moment Estimationunder General Conditions
Chirok Han () and
Robert de Jong
Annals of Economics and Statistics, 2004, issue 74, 1-13
This paper considers Closest Moment (CM) estimation with a general distance function, and avoids the assumption of nonsingular quadratic local behavior. The results of Manski , Newey , Pötscher and Prucha , and DE Jong and Han  are obtained as special cases. Consistency and a root-n rate of convergence are obtained under mild conditions on the distance function and on the moment conditions. We derive the limit distribution of CM estimators in a general setting, and show that the limit distribution is not necessarily normal. Asymptotic normality is obtained as a special case when the distance function displays nonsingular quadratic behavior.
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Persistent link: https://EconPapers.repec.org/RePEc:adr:anecst:y:2004:i:74:p:1-13
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