NONPARAMETRIC WEIGHTED AVERAGE QUANTILE DERIVATIVE

DOI10.1017/S0266466621000232zbMath1493.62613OpenAlexW3167944698MaRDI QIDQ5081789

Ying-Ying Lee

Publication date: 17 June 2022

Published in: Econometric Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/s0266466621000232

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

Cites Work

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• Single-index quantile regression
• Quantile-based nonparametric inference for first-price auctions
• A direct approach to inference in nonparametric and semiparametric quantile models
• Kernel and nearest-neighbor estimation of a conditional quantile
• Optimal bandwidth choice for density-weighted averages
• Maximal inequalities for degenerate \(U\)-processes with applications to optimization estimators
• On average derivative quantile regression
• A quantile correlated random coefficients panel data model
• Conditional quantile processes based on series or many regressors
• Nonparametric estimation and inference on conditional quantile processes
• Introduction to empirical processes and semiparametric inference
• Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing
• Nonparametric estimation of distributional policy effects
• Inference Based on Conditional Moment Inequalities
• A SINGLE-INDEX QUANTILE REGRESSION MODEL AND ITS ESTIMATION
• BOOTSTRAPPING DENSITY-WEIGHTED AVERAGE DERIVATIVES
• Irregular Identification, Support Conditions, and Inverse Weight Estimation
• Efficiency of Weighted Average Derivative Estimators and Index Models
• UNIFORM BIAS STUDY AND BAHADUR REPRESENTATION FOR LOCAL POLYNOMIAL ESTIMATORS OF THE CONDITIONAL QUANTILE FUNCTION
• WHAT DO QUANTILE REGRESSIONS IDENTIFY FOR GENERAL STRUCTURAL FUNCTIONS?
• Simulation and the Asymptotics of Optimization Estimators
• Investigating Smooth Multiple Regression by the Method of Average Derivatives
• Semiparametric efficiency bounds
• Smoothness adaptive average derivative estimation
• Identification and estimation of local average derivatives in non-separable models without monotonicity
• Quantile and Probability Curves Without Crossing
• UNIFORM CONVERGENCE RATES FOR KERNEL ESTIMATION WITH DEPENDENT DATA
• Consistent Estimation of Scaled Coefficients
• Root-N-Consistent Semiparametric Regression
• Regression Quantiles
• EFFICIENT SEMIPARAMETRIC ESTIMATION OF A PARTIALLY LINEAR QUANTILE REGRESSION MODEL
• Asymptotic Statistics
• Optimal Nonparametric Estimation of First-price Auctions
• Kernel-Based Semiparametric Estimators: Small Bandwidth Asymptotics and Bootstrap Consistency
• Nonparametric Selection of Regressors: The Nonnested Case
• Semiparametric Estimation of Index Coefficients
• Edgeworth Expansions for Semiparametric Averaged Derivatives
• UNIFORM BAHADUR REPRESENTATION FOR LOCAL POLYNOMIAL ESTIMATES OF M-REGRESSION AND ITS APPLICATION TO THE ADDITIVE MODEL
• On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
• SMALL BANDWIDTH ASYMPTOTICS FOR DENSITY-WEIGHTED AVERAGE DERIVATIVES
• ESTIMATION AND INFERENCE FOR MOMENTS OF RATIOS WITH ROBUSTNESS AGAINST LARGE TRIMMING BIAS
• Robust Inference Using Inverse Probability Weighting
• Robust Data-Driven Inference for Density-Weighted Average Derivatives
• An IV Model of Quantile Treatment Effects
• Inference on Counterfactual Distributions
• Generalized Jackknife Estimators of Weighted Average Derivatives
• Identification of Marginal Effects in Nonseparable Models Without Monotonicity
• Identification in Nonseparable Models
• Two-stage rank estimation of quantile index models

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