Estimation of a partially linear seemingly unrelated regressions model: application to a translog cost system
From MaRDI portal
Publication:5040540
DOI10.1080/07474938.2022.2074187OpenAlexW4281755588MaRDI QIDQ5040540
Publication date: 17 October 2022
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474938.2022.2074187
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach
- Smooth coefficient estimation of a seemingly unrelated regression
- Nonparametric regression estimation with general parametric error covariance
- Stochastic specification and estimation of share equation systems
- Bootstrap procedures under some non-i.i.d. models
- Seemingly unrelated regressions under additive heteroscedasticity. Theory and share equation applications
- A simple consistent bootstrap test for a parametric regression function
- Nonparametric kernel regression subject to monotonicity constraints
- Seemingly unrelated nonparametric models with positive correlation and constrained error variances
- Technical change in banking
- Estimation of a partially linear additive model with generated covariates
- Bootstrap and wild bootstrap for high dimensional linear models
- A simple method to visualize results in nonlinear regression models
- A note on the use of \(V\) and \(U\) statistics in nonparametric models of regression
- An Asymptotic Characterization of Finite Degree U-statistics With Sample Size-Dependent Kernels: Applications to Nonparametric Estimators and Test Statistics
- ASYMPTOTIC THEORY IN FIXED EFFECTS PANEL DATA SEEMINGLY UNRELATED PARTIALLY LINEAR REGRESSION MODELS
- Root-N-Consistent Semiparametric Regression
- 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
- Correlation and Marginal Longitudinal Kernel Nonparametric Regression
- An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
