Shrinkage estimation of semi-parametric spatial autoregressive panel data model with fixed effects
From MaRDI portal
Publication:2112273
DOI10.1016/j.spl.2022.109746zbMath1502.62090OpenAlexW4309903710MaRDI QIDQ2112273
Publication date: 10 January 2023
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2022.109746
Asymptotic properties of parametric estimators (62F12) Inference from spatial processes (62M30) Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Ridge regression; shrinkage estimators (Lasso) (62J07)
Cites Work
- Unnamed Item
- The Adaptive Lasso and Its Oracle Properties
- Shrinkage estimation of the linear model with spatial interaction
- Profile quasi-maximum likelihood estimation of partially linear spatial autoregressive models
- Semiparametric GMM estimation of spatial autoregressive models
- Variable selection for spatial autoregressive models with a diverging number of parameters
- Estimation of partially linear single-index spatial autoregressive model
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Post selection shrinkage estimation for high‐dimensional data analysis
- Variable selection for semiparametric varying-coefficient spatial autoregressive models with a diverging number of parameters
- Weak signals in high‐dimensional regression: Detection, estimation and prediction
- Estimation of partially specified spatial panel data models with fixed-effects
- A weak‐signal‐assisted procedure for variable selection and statistical inference with an informative subsample
This page was built for publication: Shrinkage estimation of semi-parametric spatial autoregressive panel data model with fixed effects