On estimation and testing when explanatory variables are partly endogenous
From MaRDI portal
Publication:1318980
DOI10.1016/0304-4076(94)90093-0zbMath0788.62098OpenAlexW2061586253MaRDI QIDQ1318980
Publication date: 9 June 1994
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4076(94)90093-0
prior informationexplanatory variablesparameter restrictionsunidentified modelinstrumental variables estimatorsregression errorsrestricted GMM estimationrestricted least squares estimator
Applications of statistics to economics (62P20) Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Large Sample Properties of Generalized Method of Moments Estimators
- Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
- Schur complements and statistics
- Two-step two-stage least squares estimation in models with rational expectations
- Estimation and testing when explanatory variables are endogenous. An application to a demand system
- The Lagrangian Multiplier Test
- Errors in variables: consistent adjusted least squares (cals) estimation
- Consistency in Nonlinear Econometric Models: A Generic Uniform Law of Large Numbers
- A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
- Interpretation and Use of Generalized Chow Tests
- A Uniform Law of Large Numbers for Dependent and Heterogeneous Data Processes
- Asymptotic Properties of Non-Linear Least Squares Estimators
- Linear Statistical Inference and its Applications