Work

Bayesian estimation of stochastic metafrontiers

Year: 2025

Type: article

Abstract: This paper presents a Bayesian method for estimating a hierarchical panel data stochastic frontier model for metafrontier analysis. It uses Bayesian simulation-based inference and user-friendly software, requiring minimal coding. Applications to simulated and real data confirm the model’s reliability.

Source: Economics Letters

DOI: 10.1016/j.econlet.2025.112368

Author: Ioannis Skevas

Institution: University of Macedonia

Language: English

Topic: Efficiency Analysis Using DEA

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $3,030

OpenAlex ID: W4410065215

FWCI: 0.795

Cites: 5

Cited by: 1

Related to: 10