Estimation of Sparse Structural Parameters with Many Endogenous Variables
From MaRDI portal
Publication:5864514
DOI10.1080/07474938.2015.1092805zbMath1491.62260OpenAlexW222760604MaRDI QIDQ5864514
Publication date: 7 June 2022
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474938.2015.1092805
Asymptotic properties of parametric estimators (62F12) Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)
Related Items
On LASSO for predictive regression ⋮ Culling the Herd of Moments with Penalized Empirical Likelihood ⋮ Regularization parameter selection for penalized empirical likelihood estimator ⋮ Survey-Based Forecasting: To Average or Not to Average ⋮ Model Selection and Shrinkage: An Overview
Cites Work
- Large Sample Properties of Generalized Method of Moments Estimators
- The Adaptive Lasso and Its Oracle Properties
- Hybrid generalized empirical likelihood estimators: instrument selection with adaptive lasso
- The exact distribution of exogenous variable coefficient estimators
- GMM inference when the number of moment conditions in large
- Least angle regression. (With discussion)
- Simultaneous analysis of Lasso and Dantzig selector
- \(\ell_1\)-penalized quantile regression in high-dimensional sparse models
- The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
- Endogeneity in high dimensions
- Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain
- Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
- Self-Normalized Processes
- LASSO-TYPE GMM ESTIMATOR
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- ADAPTIVE GMM SHRINKAGE ESTIMATION WITH CONSISTENT MOMENT SELECTION
- GMM with Many Moment Conditions
- Consistent Estimation with a Large Number of Weak Instruments
- Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models
- Unnamed Item
- Unnamed Item