Arbeitspapier

On Conditional Density Estimation

With the aim to mitigate the possibleproblem of negativity in the estimation of the conditionaldensity function, we introduce a so-called re-weightedNadaraya-Watson (RNW) estimator. The proposed RNWestimator is constructed by a slight modificationof the well-known Nadaraya-Watson smoother.Because the estimator is explicitly defined in terms ofthe data, its practical implementation is quite simple.With a detailed asymptotic analysis, we demonstratethat the RNW smoother preserves thesuperior large-sample bias property of thelocal linear smoother of the conditional densityproposed by Fan, Yao and Tong (1996).As a matter of independent statistical interest,the limit distribution of the RNW estimator is alsoderived.

Language
Englisch

Bibliographic citation
Series: Tinbergen Institute Discussion Paper ; No. 02-032/4

Classification
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Subject
alpha-mixing
asymptotic properties
negativity
nonparametric
re-weighted
Schätztheorie
Theorie
Statistische Verteilung

Event
Geistige Schöpfung
(who)
de Gooijer, Jan G.
Zerom, Dawit
Event
Veröffentlichung
(who)
Tinbergen Institute
(where)
Amsterdam and Rotterdam
(when)
2002

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • de Gooijer, Jan G.
  • Zerom, Dawit
  • Tinbergen Institute

Time of origin

  • 2002

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