Research data on "A Bayesian Conditional Transformation Model for Inefficiency in Stochastic Frontier Analysis".
Year: 2026
Type: dataset
Abstract: This deposit includes the R scripts and readme files for replicating the Monte Carlo simulation and the application in the paper "A Bayesian Conditional Transformation Model for Inefficiency in Stochastic Frontier Analysis". The simulation code generates all data internally and reproduces the Monte Carlo results reported in the paper. The application code implements the full estimation, table and figure construction, and sensitivity/robustness checks; however, the underlying data are confidential and cannot be shared. Detailed instructions for running both the simulation and application code are provided in the accompanying readme files.
Source: Mendeley Data
DOI: 10.17632/33m7y39y25
Author: SKEVAS, IOANNIS
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225107465