Maximum likelihood estimation of stochastic frontier models with endogeneity
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Publication:2697976
DOI10.1016/j.jeconom.2021.09.019OpenAlexW3019939266MaRDI QIDQ2697976
Samuele Centorrino, María Pérez-Urdiales
Publication date: 14 April 2023
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2004.12369
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
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- Some results on the multivariate truncated normal distribution
- A zero inefficiency stochastic frontier model
- Endogeneity in stochastic frontier models: copula approach without external instruments
- Battese-Coelli estimator with endogenous regressors
- Estimating stochastic production and cost frontiers when technical and allocative inefficiency are correlated
- Formulation and estimation of stochastic frontier production function models
- Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers
- Subsampling
- Likelihood-based inference with singular information matrix
- Endogeneity in panel data stochastic frontier model with determinants of persistent and transient inefficiency
- Specification testing when score test statistics are identically zero
- Large sample confidence regions based on subsamples under minimal assumptions
- Endogenous environmental variables in stochastic frontier models
- GMM estimation of stochastic frontier model with endogenous regressors
- Endogeneity in stochastic frontier models
- Nonparametric instrumental variables estimation for efficiency frontier
- Identification and Lack of Identification
- ASYMPTOTIC SIZE AND A PROBLEM WITH SUBSAMPLING AND WITH THE m OUT OF n BOOTSTRAP
- Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity
- Stochastic Frontier Analysis
- Nonparametric Estimation of Triangular Simultaneous Equations Models
- Estimation When a Parameter is on a Boundary
- Inconsistency of the Bootstrap when a Parameter is on the Boundary of the Parameter Space
- Testing When a Parameter is on the Boundary of the Maintained Hypothesis
- On Subsampling Estimators with Unknown Rate of Convergence
- Monte Carlo Confidence Sets for Identified Sets
- Testing for Common Conditionally Heteroskedastic Factors
- Adjustment of an Inverse Matrix Corresponding to a Change in One Element of a Given Matrix
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