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1998 | nr 797 Zastosowania rozwiązań informatycznych w bankowości | 182--195
Tytuł artykułu

Nowoczesne metody Monte Carlo w bayesowskiej analizie efektywności kosztowej banków

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Języki publikacji
PL
Abstrakty
W opracowaniu przedstawiono bayesowskie stochastyczne modele graniczne i ich wykorzystanie do pomiaru efektywności kosztowej oddziałów banku komercyjnego. (fragment tekstu)
EN
The paper presents Bayesian stochastic frontier models and its applications in the measurement of cost effectiveness of commercial bank branches. (AŁ)
Twórcy
Bibliografia
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  • Koop G., Osiewalski J., Steel M.F.J. (1994): Bayesian efficiency analysis with a flexible form: The AIM cost function, "Journal of Business and Economic Statistics", 12, 339-346.
  • Koop G., Osiewalski J., Steel M.F.J. (1997a): The components of output growth: A stochastic frontier analysis, manuscript.
  • Koop G., Osiewalski J., Steel M.F.J. (1997b). "Measuring the sources of output growth in a panel of countries," manuscript.
  • Koop G., Osiewalski J., Steel M.F.J. (1997c): Bayesian efficiency analysis through individual effects: Hospital cost frontiers, "Journal of Econometrics", 76, 77-105.
  • Koop G., Steel M.F.J., Osiewalski J. (1995): Posterior analysis of stochastic frontier models using Gibbs Sampling, "Computational Statistics", 10, 353-373.
  • Marzec J., (1998): Produkty i czynniki produkcji w badaniach efektywności kosztowej banków, [w:] Zastosowania rozwiązań informatycznych w bankowości, materiały konferencyjne, Akademia Ekonomiczna we Wrocławiu (niniejszy tom).
  • Meeusen, W., van den Broeck J. (1977): Efficiency estimation from Cobb-Douglas production functions with composed error, "International Economic Review", 8,435-444.
  • Mester L.J. (1993): Efficiency in the savings and loan industry, "Journal of Banking and Finance", 17.
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  • O'Hagan A. (1994): Bayesian Inference, Edward Arnold, London.
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  • Schmidt P., Sickles R.C. (1984): Production frontiers and panel data, "Journal of Business and Economic Statistics", 2, 367-374.
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  • Tierney L. (1994): Markov chains for exploring posterior distributions, (with discussion), "Annals of Statistics", 22,1701-1762.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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