A Bayesian semiparametric approach to stochastic frontiers and productivity
From MaRDI portal
Publication:1755271
DOI10.1016/J.EJOR.2018.10.026zbMath1431.91197OpenAlexW2897714174WikidataQ129061169 ScholiaQ129061169MaRDI QIDQ1755271
Mike G. Tsionas, Sushanta K. Mallick
Publication date: 9 January 2019
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: http://qmro.qmul.ac.uk/xmlui/handle/123456789/49683
sequential Monte Carlostochastic frontier modelproductivity and competitivenessendogenous regressorsparticle-filtering
Applications of statistics to economics (62P20) Bayesian inference (62F15) Production theory, theory of the firm (91B38)
Related Items (5)
On a high-dimensional model representation method based on copulas ⋮ Uncovering spatial productivity centers using asymmetric bidirectional spillovers ⋮ Do subsidies increase firm productivity? Evidence from Chinese manufacturing enterprises ⋮ Productivity spillovers and human capital: a semiparametric varying coefficient approach ⋮ Endogenous productivity: a new Bayesian perspective
Cites Work
- Estimating Production Functions Using Inputs to Control for Unobservables
- Efficiency dynamics in Indian banking: a conditional directional distance approach
- Productivity and efficiency estimation: a semiparametric stochastic cost frontier approach
- Zero-inefficiency stochastic frontier models with varying mixing proportion: a semiparametric approach
- High dimensional dynamic stochastic copula models
- Semiparametric stochastic frontier models: a generalized additive model approach
- Modelling bank performance: a network DEA approach
- Estimating Malmquist productivity indexes using probabilistic directional distances: an application to the European banking sector
- GMM estimation of stochastic frontier model with endogenous regressors
- Estimating production functions with control functions when capital is measured with error
- Endogeneity in stochastic frontier models
- Assessing bank efficiency and performance with operational research and artificial intelligence techniques: a survey
- The identifiability of the competing risks model
- The Effect of Work Experience on Female Wages and Labour Supply
- R&D and Productivity: Estimating Endogenous Productivity
- Identification Properties of Recent Production Function Estimators
- Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio
- Using Copulas to Model Time Dependence in Stochastic Frontier Models
- Monte Carlo Smoothing for Nonlinear Time Series
- The Dynamics of Productivity in the Telecommunications Equipment Industry
This page was built for publication: A Bayesian semiparametric approach to stochastic frontiers and productivity
