Local likelihood estimation of truncated regression and its partial derivatives: theory and application
From MaRDI portal
Publication:295713
DOI10.1016/j.jeconom.2008.08.007zbMath1418.62168OpenAlexW2098903307WikidataQ60204545 ScholiaQ60204545MaRDI QIDQ295713
Léopold Simar, Valentin Zelenyuk, Byeong U. Park
Publication date: 13 June 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2008.08.007
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
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Cites Work
- Unnamed Item
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- Estimation and inference in two-stage, semi-parametric models of production processes
- Nonparametric stochastic frontiers: a local maximum likelihood approach
- Optimality and the theory of value
- Benefit and distance functions
- Local Likelihood Estimation
- Generalized Partially Linear Single-Index Models
- Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
- Nonparametric Censored and Truncated Regression
- The Coefficient of Resource Utilization