Robust Data-Driven Inference for Density-Weighted Average Derivatives
- 1 September 2010
- journal article
- Published by Taylor & Francis in Journal of the American Statistical Association
- Vol. 105 (491) , 1070-1083
- https://doi.org/10.1198/jasa.2010.tm09590
Abstract
No abstract availableAll Related Versions
This publication has 17 references indexed in Scilit:
- PAIRWISE DIFFERENCE ESTIMATION WITH NONPARAMETRIC CONTROL VARIABLES*International Economic Review, 2007
- Kernel Estimation of Average Derivatives and DifferencesJournal of Business & Economic Statistics, 2005
- Parametric and Nonparametric Approaches to Price and Tax ReformJournal of the American Statistical Association, 1998
- Direct Semiparametric Estimation of Single-Index Models with Discrete CovariatesJournal of the American Statistical Association, 1996
- The Asymptotic Variance of Semiparametric EstimatorsEconometrica, 1994
- Efficiency of Weighted Average Derivative Estimators and Index ModelsEconometrica, 1993
- How sensitive are average derivatives?Journal of Econometrics, 1993
- Bandwidth Choice for Average Derivative EstimationJournal of the American Statistical Association, 1992
- Empirical Evidence on the Law of DemandEconometrica, 1991
- Investigating Smooth Multiple Regression by the Method of Average DerivativesJournal of the American Statistical Association, 1989