Appropriate Distribution of Cost Inefficiency Estimates as Predictor of Financial Instability

  1. Gómez Gallego, Juan Cándido
  2. Gómez García, Juan
  3. Pérez Cárceles, María Concepción
Zeitschrift:
Estudios de economía aplicada

ISSN: 1133-3197 1697-5731

Datum der Publikation: 2012

Titel der Ausgabe: La cooperación al desarrollo frente a los retos de la economía global

Ausgabe: 30

Nummer: 3

Seiten: 1071-1072

Art: Artikel

Andere Publikationen in: Estudios de economía aplicada

Zusammenfassung

The study develops a hypothesis validation process to test whether estimated cost inefficiency fits the theoretical distribution of the estimate of inefficiency, given the initial assumption of a half normal distribution for the ineffi¬ciency term in the stochastic frontier model. The application of this methodology to a sample of Spanish banks in the period 2002-2007 allows us to observe the evolution of the distributions of estimated cost inefficiency. The results confirm for the existence of a relationship between estimated cost inefficiency and the financial situation of these entities. In fact, an increase in the probability of higher levels of inefficiency is observed the period of study, coin-ciding with the beginning of financial instability in the Spanish banking system.

Bibliographische Referenzen

  • AIGNER, D.; LOVELL, C.A. and SCHMIDT, P. (1977). “Formulation and estimation of stochastic frontier production models”. Journal of Econometrics, 6, pp. 21-37.
  • ALTUNBAS, Y. and CHAKRAVARTY, S.P. (2001). “Frontier cost functions and bank efficiency”. Economics Letters, 72, pp. 233-240.
  • BERGER, A.N. and HUMPHREY, D.B. (1997). “Efficiency of financial institutions: international survey and directions for future research”. European Journal of Operational Research, 98, pp. 175-212.
  • BHANDARI, A.K. (2011). “On the distribution of estimated technical efficiency in stochastic frontier models: revisited”. International Journal of Business and Economics,10, pp. 69-80.
  • CASU, B. and GIRARDONE, C. (2009). “Testing the relationship between competition and efficiency in banking: a panel data analysis”. Economic Letters, 105, pp. 134-137.
  • COELLI, T.J. (1995). “Estimators and hypothesis tests for a stochastic frontier function: a monte carlo analysis”. Journal of Productivity Analysis, 6(4), pp. 247-268.
  • DELIS, M.; KOUTSOMANOLI-FILLIPAKI, A.; STAIKOURAS, C. and KATERINA, G. (2009). “Evaluating cost and profit efficiency: a comparison of parametric and nonparametric methodologies”. Applied Financial Economics, 19(3), pp. 191-202.
  • DIOS-PALOMARES, R. (2002). “Análisis de interpretación de los parámetros de relación de varianzas en el modelo de frontera estocástica”. Estudios de Economía Aplicada, 20(2), pp. 365-379.
  • FRIED, H.O.; KNOX LOVELL, C.A. and SCHMIDT, S.S. (2008). The Measurement of Productive Efficiency and Productivity Growth. Oxford University Press.
  • GREENE, W.H. (1990). “A gamma-distributed stochastic frontier model”. Journal of Econometrics, 46, pp. 141-164.
  • JONDROW, J.; LOVELL, C.A.K.; MATEROV, Y.S. and SCHMIDT, P. (1982). “On the estimation of technical inefficiency in the stochastic frontier production function model”. Journal of Econometrics, 19, pp. 233-238.
  • KUMBHAKAR, C. and LOVELL, C.A.K. (2000). Stochastic Frontier Analysis. Cambridge University Press.
  • LEE, Y.H. and SCHMIDT, P. (2003). A Production Frontier Model with Flexible Temporal Variation in Technical Inefficiency. Fried H.O., Lovell C.A.K., Schmidt S.S. eds. Oxford University Press.
  • MAUDOS, J. and FERNÁNDEZ DE GUEVARA, J. (2007). “The cost of market power in banking: social welfare loss vs. cost efficiency”. Journal of Banking and Finance, 31(7), pp. 2103-2125.
  • MAUDOS, J. and PASTOR, J.M. (2003). “Cost and profit efficiency in the Spanish banking sector (1985-96): a non-parametric approach”. Applied Financial Economics, 13(1), pp. 1-12.
  • MEEUSEN, W. and VAN DEN BROECK, J. (1977). “Efficiency estimation from Cobb-Douglas production functions with composed error”. International Eco- nomic Review, 18(2), pp. 435-444.
  • PASIOURAS, F. (2008). “Estimating the technical and scale efficiency of Greek commercial banks: the impact of credit risk, off-balance sheet activities, and international operations”. Research in International Business and Finance, 22, pp. 301–318.
  • SEALEY, C.W.JR. and LINDLEY, J.T. (1977). “Inputs, outputs, and a theory of production and cost at depository financial institutions”. The Journal of Fi- nance, 32(4), pp. 1251-1266.
  • STEVENSON, R.E. (1980). “Likelihood functions for generalized stochastic frontier estimation”. Journal of Econometrics, 13, pp. 57-66.
  • WANG, W.S.; AMSLER, C. AND SCHMIDT, P. (2011). “Goodness of fit test in stochastic frontier models”. Journal of Productivity Analysis, 35(2), pp. 95118.
  • WANG, W.S. and SCHMIDT, P. (2009). “On the distribution of estimated technical efficiency in stochastic frontier models”. Journal of Econometrics, 148, pp. 36-45.
  • WEILL, L. (2003). “Banking efficiency in transition economies: the role of foreign ownership”. Economies of Transition, 11, pp. 569-592.
  • ZAJC, P. (2006). “A comparative study of bank efficiency in central and eastern Europe: the role of foreign ownership.