Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach
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DOI: 10.1007/s00181-021-02060-0
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Cited by:
- Juan José Price & Arne Henningsen, 2023.
"A ray-based input distance function to model zero-valued output quantities: Derivation and an empirical application,"
Journal of Productivity Analysis, Springer, vol. 60(2), pages 179-188, October.
- Juan José Price & Arne Henningsen, "undated". "A Ray-Based Input Distance Function to Model Zero-Valued Output Quantities: Derivation and an Empirical Application," Working Papers 5, International Society for Efficiency and Productivity Analysis.
- Juan José Price & Arne Henningsen, 2022. "A Ray-Based Input Distance Function to Model Zero-Valued Output Quantities: Derivation and an Empirical Application," IFRO Working Paper 2022/03, University of Copenhagen, Department of Food and Resource Economics.
- Zaira García-Tórtola & David Conesa & Joan Crespo & Emili Tortosa-Ausina, 2024. "Unlocking University Efficiency: A Bayesian Stochastic Frontier Analysis," Working Papers 2024/05, Economics Department, Universitat Jaume I, Castellón (Spain).
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More about this item
Keywords
Stochastic ray production frontier; Technical inefficiency; Endogeneity; Bayesian inference; Model averaging;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
Statistics
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