By Hans Genberg, Cho-Hoi Hui
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Additional resources for The Banking Sector In Hong Kong: Competition, Efficiency, Performance and Risk (Palgrave MacMillan Studies in Banking and Financial Institutions)
The hypothesis is not rejected at the 10 per cent level in both Models C and D. This suggests that the competitive condition was not statistically different between the two periods. 974 1,394 Notes: 1. The regressions are estimated by the FGLS method with cross-section seemingly unrelated regression weights. Except for the variables Growth and Inflation, all variables used in the estimation are expressed in first difference form of the natural logarithm of the series. The residuals are specified as an AR(4) process.
Drake, M. J. B. Hall and R. Simper, ‘The Impact of Macroeconomic and Regulatory Factors on Bank Efficiency: A Non-parametric Analysis of Hong Kong’s Banking System’, Journal of Banking and Finance, 30 (2006a) 1443–66. L. Drake, M. J. B. Hall and R. Simper, ‘Efficiency and Productivity Change in Hong Kong Banking’, HKIMR’s seminar in 2004/2005, (2006b). L. G. Goldberg and A. Rai, ‘The Structure-performance Relationship for European Banking’, Journal of Banking and Finance, 20 (1996) 745–71. W. H.
2. The paper was published as a HKMA Research Memorandum, RM 04/2004. 3. See Panzar and Rosse (1987). 4. Panel data, by combining inter-individual differences with intra-individual dynamics, offer many advantages over cross-sectional or time series data. Panel data enlarge the number of observations for estimation, increasing the degree of freedom and reducing the collinearity among explanatory variables, hence improving the efficiency of estimates. A more detailed discussion on the advantages of panel data estimation can be found in Hsiao (1986).