Combining estimators to improve structural model estimation and inference under quadratic loss
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Publication:265010
DOI10.1016/j.jeconom.2004.08.006zbMath1334.62042OpenAlexW2050485838MaRDI QIDQ265010
George G. Judge, Ron C. Mittelhammer
Publication date: 1 April 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2004.08.006
semiparametric estimationinstrumental variablesquadratic losscombined estimatorsdata dependent shrinkage
Asymptotic properties of parametric estimators (62F12) Ridge regression; shrinkage estimators (Lasso) (62J07) Nonparametric estimation (62G05)
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- Large Sample Properties of Generalized Method of Moments Estimators
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Empirical likelihood for linear models
- Goodness-of-fit statistics for discrete multivariate data
- Bootstrap and randomization tests of some nonparametric hypotheses
- Empirical likelihood and general estimating equations
- The finite sample properties of simultaneous equations' estimates and estimators. Bayesian and non-Bayesian approaches
- The mean square error of a combined estimator and numerical comparison with the TSLS estimator
- The Bias and Moment Matrix of the General k-Class Estimators of the Parameters in Simultaneous Equations
- Empirical likelihood ratio confidence intervals for a single functional
- A James-Stein Type Estimator for Combining Unbiased and Possibly Biased Estimators
- Data Analysis Using Stein's Estimator and its Generalizations
- Empirical likelihood as a goodness-of-fit measure
- Miscellanea. Multiple roots in general estimating equations
- An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model
- James-Stein-Type Estimators in Large Samples With Application to the Least Absolute Deviations Estimator
- Information Theoretic Approaches to Inference in Moment Condition Models
- GMM with Weak Identification
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
- Pivotal Statistics for Testing Structural Parameters in Instrumental Variables Regression
- Limiting the Risk of Bayes and Empirical Bayes Estimators--Part II: The Empirical Bayes Case
- An Optimum Property of Regular Maximum Likelihood Estimation
- A Semiparametric Basis for Combining Estimation Problems Under Quadratic Loss
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