Efficiency and productivity in U.S. commercial banking : a non-parametric approach Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/2r36v3140

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  • In this paper, I estimate efficiency and productivity change in the U.S. banking industry. The data consist of annual observations of 25 banks from 2004 to 2008. The paper follows a two-stage procedure. In the first-stage, utilizing the non-parametric methodologies, input-oriented Data Envelopment Analysis (DEA) model and DEA based Malmquist indices are used to estimate the efficiency scores for each bank in the sample. Further, the productivity index is decomposed into technical efficiency and technological change components. In the second-stage, I use Tobit censored regression to determine the impact of ‘environmental’ factors on banks’ efficiency. The results of DEA suggest that U.S. banks experienced an average annual productivity growth of almost 9 percent over the sample period as well as that the dominant source of efficiency is technological change (TC) which shows 10.8 percent increase during the same period. The results of Tobit regression indicate that bank capitalization, market share and loan ratios have positive impacts on bank efficiency whereas size has a negative influence on bank performance which is consistent with previous studies.
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