Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators
- 1 June 2013
- journal article
- Published by Elsevier in Journal of Econometrics
- Vol. 174 (2) , 127-143
- https://doi.org/10.1016/j.jeconom.2013.02.002
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Efficient Estimation of the Dose–Response Function Under Ignorability Using Subclassification on the CovariatesAdvances in Econometrics, 2011
- Dissecting AnomaliesThe Journal of Finance, 2008
- Regression discontinuity designs: A guide to practicePublished by Elsevier ,2007
- A method of estimating the average derivativeJournal of Econometrics, 2007
- Chapter 76 Large Sample Sieve Estimation of Semi-Nonparametric ModelsPublished by Elsevier ,2007
- Chapter 74 Implementing Nonparametric and Semiparametric EstimatorsPublished by Elsevier ,2007
- Kernel spline regressionThe Canadian Journal of Statistics / La Revue Canadienne de Statistique, 2005
- Local asymptotics for polynomial spline regressionThe Annals of Statistics, 2003
- A note on “Convergence rates and asymptotic normality for series estimators”: uniform convergence ratesJournal of Econometrics, 2002
- Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression ModelsEconometrica, 1991