Estimation of varying coefficient models with measurement error

DOI10.1016/j.jeconom.2020.12.013OpenAlexW2995807172MaRDI QIDQ2172010

Hao Dong, Taisuke Otsu, Luke Taylor

Publication date: 14 September 2022

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2020.12.013

Mathematics Subject Classification ID

Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Related Items (1)

Nonparametric estimation of additive models with errors-in-variables

Cites Work

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• Estimating the Technology of Cognitive and Noncognitive Skill Formation
• A varying-coefficient panel data model with fixed effects: theory and an application to US commercial banks
• Adaptive density estimation in deconvolution problems with unknown error distribution
• Density deconvolution from repeated measurements without symmetry assumption on the errors
• Adaptive wavelet multivariate regression with errors in variables
• Deconvolution problems in nonparametric statistics
• Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
• Semiparametric estimation of censored selection models with a nonparametric selection mechanism
• Nonparametric estimation of the measurement error model using multiple indicators.
• Nonparametric regression with errors in variables
• Adaptive wavelet estimator for nonparametric density deconvolution
• A new approach to estimator selection
• Oracle inequalities and adaptive estimation in the convolution structure density model
• Bootstrap bandwidth selection in kernel density estimation from a contaminated sample
• Anisotropic adaptive kernel deconvolution
• Convolution without independence
• On deconvolution with repeated measurements
• Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model
• On characterizing the gamma and the normal distribution
• Deconvolving kernel density estimators
• Varying Coefficients Model with Measurement Error
• Sharp Optimality in Density Deconvolution with Dominating Bias. I
• Generalized Non-Parametric Deconvolution with an Application to Earnings Dynamics
• Root-N-Consistent Semiparametric Regression
• Optimal Rates of Convergence for Deconvolving a Density
• Deconvolution with supersmooth distributions
• Improvements on Cross-Validation: The .632+ Bootstrap Method
• Wavelet deconvolution
• NONPARAMETRIC INSTRUMENTAL REGRESSION WITH ERRORS IN VARIABLES
• Asymptotic normality of nonparametric kernel type deconvolution density estimators: crossing the Cauchy boundary
• Nonparametric regression with infinite order flat-top kernels
• Semiparametric Estimation of Regression Models for Panel Data
• Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates
• ON THE UNIFORM CONVERGENCE OF DECONVOLUTION ESTIMATORS FROM REPEATED MEASUREMENTS
• NONPARAMETRIC REGRESSION IN THE PRESENCE OF MEASUREMENT ERROR
• Varying Index Coefficient Models
• Methodology for Non-Parametric Deconvolution When the Error Distribution is Unknown
• Random forests

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