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New evidence on the Fed's productivity in providing payments services

  • Gilbert, R. Alton
  • Wheelock, David C.
  • Wilson, Paul W.

As the dominant provider of payments services, the efficiency with which the Federal Reserve provides such services in an important public policy issue. This paper examines the productivity of Federal Reserve check-processing offices during 1980-1999 using non-parametric estimation methods and newly developed methods for non-parametric inference and hypothesis testing. The results support prior studies that found little initial improvement in the Fed's efficiency with the imposition of pricing for Federal Reserve services in 1982. However, we find that median productivity improved substantially during the 1990s, and the dispersion across Fed offices declined.>

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Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 28 (2004)
Issue (Month): 9 (September)
Pages: 2175-2190

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Handle: RePEc:eee:jbfina:v:28:y:2004:i:9:p:2175-2190
Contact details of provider: Web page: http://www.elsevier.com/locate/jbf

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  1. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  2. repec:cor:louvrp:-1139 is not listed on IDEAS
  3. Kneip, Alois & Park, Byeong U. & Simar, L opold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(06), pages 783-793, December.
  4. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
  5. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
  6. Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
  7. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
  8. Bauer, Paul W & Ferrier, Gary D, 1996. "Scale Economies, Cost Efficiencies, and Technological Change in Federal Reserve Payments Processing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(4), pages 1004-39, November.
  9. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
  10. Gallant, A. Ronald, 1982. "Unbiased determination of production technologies," Journal of Econometrics, Elsevier, vol. 20(2), pages 285-323, November.
  11. Gallant, A. Ronald, 1981. "On the bias in flexible functional forms and an essentially unbiased form : The fourier flexible form," Journal of Econometrics, Elsevier, vol. 15(2), pages 211-245, February.
  12. Paul W. Wilson & Kathleen Carey, 2004. "Nonparametric analysis of returns to scale in the US hospital industry," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 505-524.
  13. Park, B.U. & Simar, L. & Weiner, Ch., 2000. "The Fdh Estimator For Productivity Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 16(06), pages 855-877, December.
  14. Humphrey, David Burras, 1981. "Economies to scale in federal reserve check processing operations," Journal of Econometrics, Elsevier, vol. 15(1), pages 155-173, January.
  15. Bauer, Paul W. & Hancock, Diana, 1993. "The efficiency of the Federal Reserve in providing check processing services," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 287-311, April.
  16. McAllister, Patrick H. & McManus, Douglas, 1993. "Resolving the scale efficiency puzzle in banking," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 389-405, April.
  17. GIJBELS, Irène & MAMMEN, Enno & PARK, Byeong U. & SIMAR, Léopold, . "On estimation of monotone and concave frontier functions," CORE Discussion Papers RP 1392, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  18. Simar, L. & Wilson, P.W., 2000. "Testing Restrictions in Nonparametric Efficiency Models," Papers 0013, Catholique de Louvain - Institut de statistique.
  19. David C. Wheelock & Paul W. Wilson, 1997. "New evidence on returns to scale and product mix among U.S. commercial banks," Working Papers 1997-003, Federal Reserve Bank of St. Louis.
  20. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
  21. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
  22. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
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