Arbeitspapier

Uniform bias study and Bahadur representation for local polynomial estimators of the conditional quantile function

This paper investigates the bias and the Bahadur representation of a local polynomial estimator of the conditional quantile function and its derivatives. The bias and Bahadur remainder term are studied uniformly with respect to the quantile level, the covariates and the smoothing parameter. The order of the local polynomial estimator can be higher that the differentiability order of the conditional quantile function. Applications of the results deal with global optimal consistency rates of the local polynomial quantile estimator, performance of random bandwidths and estimation of the conditional quantile density function. The latter allows to obtain a simple estimator of the conditional quantile function of the private values in a first price sealed bids auctions under the independent private values paradigm and risk neutrality.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 648

Klassifikation
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Thema
Bahadur representation
conditional quantile function
local polynomial estimation
econometrics of auctions
Schätztheorie

Ereignis
Geistige Schöpfung
(wer)
Guerre, Emmanuel
Sabbah, Camille
Ereignis
Veröffentlichung
(wer)
Queen Mary University of London, Department of Economics
(wo)
London
(wann)
2009

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Guerre, Emmanuel
  • Sabbah, Camille
  • Queen Mary University of London, Department of Economics

Entstanden

  • 2009

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