More efficient local polynomial regression with random-effects panel data models
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Publication:5862496
DOI10.1080/07474938.2016.1167813zbMath1490.62104OpenAlexW2313823888MaRDI QIDQ5862496
Publication date: 9 March 2022
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474938.2016.1167813
kernel regressionlocal polynomial regressionvariance reductionnonparametric methodrandom-effects panel data model
Cites Work
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- Nonparametric estimation and testing of fixed effects panel data models
- Nonparametric regression estimation with general parametric error covariance
- A note on spectral decomposition and maximum likelihood estimation in ANOVA models with balanced data
- Nonparametric additive regression for repeatedly measured data
- Quasi-likelihood Estimation in Semiparametric Models
- Marginal nonparametric kernel regression accounting for within-subject correlation
- Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
- More Efficient Local Polynomial Estimation in Nonparametric Regression With Autocorrelated Errors
- Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
- Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- Finite sample performance of kernel-based regression methods for non-parametric additive models under common bandwidth selection criterion
- Local polynomial regression analysis of clustered data
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