Analysing Productivity Changes Using the Bootstrapped Malmquist Approach: The Case of the Iranian Banking Industry

Arjomandi, Amir and Valadkhani, Abbas and Harvie, Charles (2011): Analysing Productivity Changes Using the Bootstrapped Malmquist Approach: The Case of the Iranian Banking Industry. Published in: Australasian Accounting Business and Finance Journal , Vol. 5, No. 3 (2011): pp. 35-55.

Abstract

This study employs various bootstrapped Malmquist indices and efficiency scores to investigate the effects of government regulation on the performance of the Iranian banking industry over the period 2003-2008. An alternative decomposition of the Malmquist index, introduced by Simar and Wilson (1998a), is also applied to decompose technical changes further into pure technical change and changes in scale efficiency. A combination of these approaches facilitates a robust and comprehensive analysis of Iranian banking industry performance. While this approach is more appropriate than the traditional Malmquist approach, for the case of banking efficiency studies, it has not previously been conducted for any developing country’s banking system. The results obtained show that although, in general, the regulatory changes had different effects on individual banks, the efficiency and productivity of the overall industry declined after regulation. We also find that productivity had positive growth before regulation mainly due to improvements in pure technology, and that government ownership had an adverse impact on the efficiency level of state-owned banks. The bootstrap approach demonstrates that the majority of estimates obtained in this study are statistically significant.

• Item Type: MPRA Paper
• Language: English
• Keywords: Regulation; Productivity; Banking; Data envelopment analysis; Bootstrap; Malmquist indices
• Subjects: C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General; C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis; G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages

References

Aly, H.Y., Grabowski, R., Pasurka, C. & Rangan, N. (1990), Technical, Scale, and Allocative Effi- ciencies in U.S. Banking: An Empirical Investigation, The Review of Economics and Statistics, Vol.72, No.211-218, pp.

Balcombe, K., Davidova, S. & Latruffe, L. (2008), The use of bootstrapped Malmquist indices to reassess productivity change findings: an application to a sample of Polish farms, Applied Economics, Vol.40, No.16, pp. 2055-2061.

Berger, A.N., Hanweck, G.A. & Humphrey, D.B. (1987), Competitive viability in banking: Scale, scope, and product mixeconomies, Journal of Monetary Economics, Vol.20, pp. 501-520.

Burgess, J.F. & Wilson, P.W. (1995), Decomposing Hospital Productivity Changes, 1985-1988: A Nonparametric Malmquist Approach, The Journal of Productivity Analysis, Vol.6, pp. 343-363.

Caves, D.W., Christensen, L.R. & Diewert, W.E. (1982), The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity, Econometrica, Vol.50 No.6, pp. 1393-1414.

CBI, 2005, Iranian Banks Performance Report 2005, Central Bank of Iran, Tehran.

CBI, 2006, Annual Report 2006, Central Bank of Iran, Teharn.

CBI, 2008, Iranian Banks Performance Report 2008, Central Bank of Iran, Tehran.

Coelli, T.J., Rao, D.S.P., O’Donnell, C.J. & Battese, G.E. (2005), An introduction to efficiency and productivity analysis, Springer science and business media, New York. Färe, R., Grosskopf, S., Lindgren, B. & Roos, P. (1992), Productivity Changes in Swedish Pharmacies 1980-1989: A Nonparametric Malmquist Approach, Journal of Pro- ductivity Analysis, Vol.3, No.3, pp. 85-101.

Färe, R., Grosskopf, S., Lindgren, B. & Roos, P. (1994a), Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach. In Charnes, A., Cooper, W. W., Y., L. A. & M., S. L. (Eds.) Data Envelopment Analysis: Theory, Methodology and Applications, Boston: Kluwer.

Färe, R., Grosskopf, S. & Norris, M. (1997), Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Reply, American Economic Review, Vol.87, No.6, pp. 1040-1043.

Färe, R., Grosskopf, S., Norris, M. & Zhang, Z. (1994b), Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries, The American Economic Review, Vol.84, No.1, pp. 66-83.

Farrell, M.J. (1957), The Measurement of Productive Efficiency, Journal of the Royal Statistical Society Vol.Series A (general) l20, No.3, pp. 229-253.

Fethi, M.D. & Pasiouras, F. (2010), Assessing Bank Performance with Operational Research and Artificial Intelligence Techniques: A Survey, European Journal of Operational Research, Vol.204, pp. 189-198.

Fried, H.O., Lovell, C.A.K. & Schmidt, S.S. (Eds.) (2008), The Measurement of Productive Efficiency and Productivity Growth, NewYork, Oxford University Press.

Galdeano-Gómez, E. (2008), Productivity effects of environmental performance: evidence from TFP analysis on marketing cooperatives, Applied Economics, Vol.40, No.14, pp. 1873-1888.

Gilbert, R.A. & Wilson, P.W. (1998), Effect of Deregulation in the Productivity of Korean Banks, Journal of Economics and Business, Vol.50 No.2, pp. 133-155.

Hancock, D. (1991), A Theory of Production for the Financial Firm, Kluwer Academic Publishers, Boston.

Hoff, A. (2006), Bootstrapping Malmquist Indices for Danish Seiners in the North Sea and Skagerrak, Journal of Applied Statistics, Vol.33, No.9, pp. 891-907.

Kneip, A., Park, B. & Simar, L. (1996) Note on the Convergence of Nonparametric DEA Efficiency Measures. CORE Discussion Papers 1996039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

Latruffe, L., Davidova, S. & Balcombe, K. (2008), Productivity change in Polish agriculture: an illustration of a bootstrapping procedure applied to Malmquist indices, Post-Communist Economies, Vol.20, No.4, pp. 449-460.

Lovell, C.A.K. (2000), Editor’s introduction, Journal of Productivity Analysis, Vol.13, pp. 5-6. Ray, S.C. & Desli, E. (1997), Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countri'es: Comment, The American Economic Review, Vol.87, No.50, pp. 1033-1039.

Sealy, C.W. & Lindley, J. (1977), Inputs, outputs and a theory of production and cost at depository financial institutions, Journal of Finance, Vol.32, pp. 1252-1266.

Shephard, R.W. (1970), Theory of Cost and Production Functions, Princeton: Princeton University Press.

Silverman, B.W. (1986), Density Estimation for Statistics and Data Analysis, Chapman and Hall, London.

Simar, L. (1992), Estimating efficiencies from frontier models with panel data: A comparison of parametric non-parametric and semi-parametric methods with bootstrapping, Journal of Productivity Analysis, Vol.3, pp. 167-203.

Simar, L. & Wilson, P.W. (1998a) Productivity Growth in Industrialized Countries. CORE Discussion Papers 1998036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

Simar, L. & Wilson, P.W. (1998b), Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models, Management Science, Vol.44, No.1, pp. 49–61.

Simar, L. & Wilson, P.W. (1999), Estimating and bootstrapping Malmquist indices, European Journal of Operational Research, Vol.115, pp. 459-471.

Simar, L. & Wilson, P.W. (2000), Statistical inference in nonparametric frontier models: The state of the art, Journal of Productivity Analysis, Vol.13, No.1, pp. 49-78.

Tortosa-Ausina, E., Grifell-Tatje, E., Armero, C. & Conesa, D. (2008), Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks, European Journal of Operational Research, Vol.184, pp. 1062–1084.

Wheelock, D.C. & Wilson, P.W. (1999), Technical Progress, Inefficiency and Productivity Change in U.S Banking 1984-1993, Journal of Money, Credit and Banking, Vol.31, No.2, pp. 212-234.

Wilson, P.W. (2006) FEAR 1.0 User’s Guide. Department of Economics, Clemson University, Clemson, USA.