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Nonparametric Instrumental Variable Estimation of Structural Quantile Effects
Author(s) -
Gagliardini Patrick,
Scaillet Olivier
Publication year - 2012
Publication title -
econometrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.7
H-Index - 199
eISSN - 1468-0262
pISSN - 0012-9682
DOI - 10.3982/ecta7937
Subject(s) - instrumental variable , nonparametric statistics , quantile , econometrics , estimation , variable (mathematics) , statistics , economics , quantile regression , mathematics , mathematical analysis , management
We study the asymptotic distribution of Tikhonov regularized estimation of quantile structural effects implied by a nonseparable model. The nonparametric instrumental variable estimator is based on a minimum distance principle. We show that the minimum distance problem without regularization is locally ill‐posed, and we consider penalization by the norms of the parameter and its derivatives. We derive pointwise asymptotic normality and develop a consistent estimator of the asymptotic variance. We study the small sample properties via simulation results and provide an empirical illustration of estimation of nonlinear pricing curves for telecommunications services in the United States.