Management estimation in banking
| Autor: | Mike G. Tsionas, Maria Iosifidi, Manthos D. Delis |
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| Rok vydání: | 2020 |
| Předmět: |
Estimation
050210 logistics & transportation 021103 operations research Information Systems and Management General Computer Science Computer science 05 social sciences 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering Frontier Probability of default Modeling and Simulation Benchmark (surveying) 0502 economics and business Econometrics Production (economics) Profitability index |
| Zdroj: | European Journal of Operational Research. 284:355-372 |
| ISSN: | 0377-2217 |
| DOI: | 10.1016/j.ejor.2019.12.023 |
| Popis: | We present and estimate a model of management practices as an unobserved (latent) input in a standard production function of banks. We derive estimates of management at the bank-quarter level, using data for all U.S. banks from 1984 to 2016 and Bayesian techniques. We show that management practices are an important missing input in banks’ operational processes. We validate our approach using repeated random sampling (Monte Carlo simulation) within a rather unfavorable environment. We also show that management is highly correlated with bank profitability (positively) and the probability of default (negatively). Our new measure compares favorably with existing measures of management derived from the residual of the regression of frontier efficiency on bank characteristics that are beyond management's capacity to change. Our model can be considered a benchmark to estimate good management practices, to analyze their sources, and to establish good management as an important determinant of efficient and sound banking. |
| Databáze: | OpenAIRE |
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