The GMM estimation of semiparametric spatial stochastic frontier models
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Publication:2103050
DOI10.1016/j.ejor.2022.07.008OpenAlexW4285403719MaRDI QIDQ2103050
Shunan Zhao, Subal C. Kumbhakar, Zhezhi Hou
Publication date: 12 December 2022
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2022.07.008
Uses Software
Cites Work
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- Estimating Production Functions Using Inputs to Control for Unobservables
- GMM and 2SLS estimation of mixed regressive, spatial autoregressive models
- Productivity and efficiency estimation: a semiparametric stochastic cost frontier approach
- Zero-inefficiency stochastic frontier models with varying mixing proportion: a semiparametric approach
- An efficient GMM estimator of spatial autoregressive models
- Semiparametric GMM estimation of spatial autoregressive models
- Formulation and estimation of stochastic frontier production function models
- Estimating efficiency in a spatial autoregressive stochastic frontier model
- Spatial scale and product mix economies in U.S. banking with simultaneous spillover regimes
- Measurement of technical inefficiency and total factor productivity growth: a semiparametric stochastic input distance frontier approach and the case of Lithuanian dairy farms
- A spatial stochastic frontier model with endogenous frontier and environmental variables
- Productivity spillovers and human capital: a semiparametric varying coefficient approach
- Bootstrapping factor models with cross sectional dependence
- A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms
- Semiparametric estimation and testing of smooth coefficient spatial autoregressive models
- Endogenous environmental variables in stochastic frontier models
- A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers
- NONPARAMETRIC ESTIMATION OF VARYING COEFFICIENT DYNAMIC PANEL DATA MODELS
- Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error