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Translog Cost Function Estimation: Banking Efficiency

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  • Daglish, Toby
  • Robertson, Oliver
  • Tripe, David
  • Weill, Laurent

Abstract

This paper examines the selection of data source and econometric technique for studies of banking efficiency using translog cost functions. We examine the use of Seemingly Unrelated Regression estimation for a cost function, as against estimation using Ordinary Least Squares. Choice of cost data to feed to the estimation is also important, and we find that use of wage and interest data may sometimes be superior to cost data inferred from bank accounting information. Lastly, we discuss filtering of data, where some observations may contain erroneous or noisy data.

Suggested Citation

  • Daglish, Toby & Robertson, Oliver & Tripe, David & Weill, Laurent, 2015. "Translog Cost Function Estimation: Banking Efficiency," Working Paper Series 19256, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    • Handle: RePEc:vuw:vuwcsr:19256
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    File URL: https://ir.wgtn.ac.nz/handle/123456789/19256
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    References listed on IDEAS

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    Cited by:

    1. Mpho Rapapali & Witness Simbanegavi, 2020. "Competition in South African Banking An assessment using the Boone Indicator and PanzarRosse approaches," Working Papers 9819, South African Reserve Bank.

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