Hostname: page-component-7b7567c8c-2n9c9 Total loading time: 0 Render date: 2026-11-13T17:18:52.581Z Has data issue: false hasContentIssue false

Kernel Estimation of Partial Means and aGeneral Variance Estimator

Published online by Cambridge University Press:  11 February 2009

Abstract

Econometric applications of kernel estimators areproliferating, suggesting the need for convenientvariance estimates and conditions for asymptoticnormality. This paper develops a general“delta-method” variance estimator for functionals ofkernel estimators. Also, regularity conditions forasymptotic normality are given, along with a guideto verify them for particular estimators. Thegeneral results are applied to partial means, whichare averages of kernel estimators over some of theirarguments with other arguments held fixed. Partialmeans have econometric applications, such asconsumer surplus estimation, and are useful forestimation of additive nonparametric models.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 1994

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable