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The informativeness of stochastic frontier and programming frontier efficiency scores: Cost efficiency and other measures of bank holding company performance Author info | Abstract | Publisher info | Download info | Related research | Statistics Robert A. Eisenbeis
Gary D. Ferrier
Simon H. Kwan
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This paper examines the properties of the X-inefficiencies in U.S. bank holding companies derived from both stochastic and linear programming frontiers. This examination allows the robustness of results across methods to be compared. While we find that calculated programming inefficiency scores are two to three times larger than those estimated using a stochastic frontier, the patterns of the scores across banks and time are similar, and there is a relatively high correlation of the rankings of banks' efficiencies under the two methods. However, when we examine the "informativeness" of the efficiency measured by the two different techniques, we find some large differences. We find evidence that the stochastic frontier scores are more closely related to risk-taking behavior, managerial competence, and bank stock returns. Based on these findings, we conclude that while both methods produce informative efficiency scores, for this data set decision makers should put more weight on the stochastic frontier efficiency estimates.
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Paper provided by Federal Reserve Bank of Atlanta in its series Working Paper with number
99-23.
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Date of creation: 1999Date of revision:
Handle: RePEc:fip:fedawp:99-23Contact details of provider: Postal: 1000 Peachtree St., N.E., Atlanta, Georgia 30309 Phone: 404-521-8500 Email: Web page: http://www.frbatlanta.org/ More information through EDIRC
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Keywords: Bank holding companies ; Banks and banking - Costs ; This paper has been announced in the following NEP Reports :
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