Incorporating causal modeling into data envelopment analysis for performance evaluation
From MaRDI portal
Publication:6666733
DOI10.1007/s10479-023-05486-0MaRDI QIDQ6666733
Mike G. Tsionas, Yong Tan, Hirofumi Fukuyama
Publication date: 20 January 2025
Published in: Annals of Operations Research (Search for Journal in Brave)
Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output
- Smoothly mixing regressions
- Measuring bank performance with a dynamic network Luenberger indicator
- Bayesian modeling of joint and conditional distributions
- Productivity and intermediate products:
- Nerlovian revenue inefficiency in a bank production context: evidence from Shinkin banks
- Approximation of conditional densities by smooth mixtures of regressions
- Profit, directional distance functions, and Nerlovian efficiency
- A bootstrap approach for bandwidth selection in estimating conditional efficiency measures
- Exact nonradial input, output, and productivity measurement.
- Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using data envelopment analysis: second stage OLS versus bootstrap approaches
- Analyzing the efficiency of working capital management: a new approach based on DEA-Malmquist technology
- Bank efficiency estimation in China: DEA-RENNA approach
- Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review
- A compromise programming approach for target setting in DEA
- How ownership structure affects bank deposits and loan efficiencies: an empirical analysis of Chinese commercial banks
- Implementing strategic disposability for performance evaluation: innovation, stability, profitability and corporate social responsibility in Chinese banking
- Preface: DEA and its applications in operations and data analytics
- Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach
- Benefit and distance functions
- The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity
- A review of Dynamic Data Envelopment Analysis: state of the art and applications
- Double/debiased machine learning for treatment and structural parameters
- The Blessings of Multiple Causes
- Invariant Causal Prediction for Sequential Data
- A slacks-based measure of efficiency in data envelopment analysis
- Investigating the performance of Chinese banks over 2007--2014
- Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: application to the Chinese banking industry
This page was built for publication: Incorporating causal modeling into data envelopment analysis for performance evaluation