Nonparametric estimation of regression models with mixed discrete and continuous covariates by the K-nn method

DOI10.1080/07474938.2015.1114295OpenAlexW2365764994MaRDI QIDQ5864461

Carl Green, Q. Li, Yu Yvette Zhang

Publication date: 7 June 2022

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

Full work available at URL: https://doi.org/10.1080/07474938.2015.1114295

zbMATH Keywords

nonparametric smoothingdiscrete covariates

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

Related Items

Peter Schmidt: Econometrician and consummate professional

Cites Work

• Nonparametric estimation of regression functions with both categorical and continuous data
• Multivariate k-nearest neighbor density estimates
• Cross‐validation and non‐parametric k nearest‐neighbour estimation
• How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
• Regression Smoothing Parameters That Are Not Far From Their Optimum
• Multivariate binary discrimination by the kernel method
• Root-n-consistent semiparametric estimation of partially linear models based on k-nn method
• Semiparametric Non-Linear Time Series Model Selection