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Entropy-based benchmarking methods

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  • Temurshoev, Umed

    (Groningen University)

Abstract
We argue that benchmarking sign-volatile series should be based on the principle of movement and sign preservation, which states that a bench-marked series should reproduce the movement and signs in the original series. We show that the widely used variants of Denton (1971) method and the growth preservation method of Causey and Trager (1981) may violate this principle, while its requirements are explicitly taken into account in the pro-posed entropy-based benchmarking methods. Our illustrative examples show that the entropy-based methods can be regarded as plausible competitors for current benchmarking methods, and maybe preferred in certain cases.

Suggested Citation

  • Temurshoev, Umed, 2012. "Entropy-based benchmarking methods," GGDC Research Memorandum GD-122, Groningen Growth and Development Centre, University of Groningen.
    • Handle: RePEc:gro:rugggd:gd-122
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    File URL: http://irs.ub.rug.nl/ppn/344365190
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    References listed on IDEAS

    as
    1. Michael Lahr & Louis de Mesnard, 2004. "Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 115-134.
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    6. Reinier Bikker & Jacco Daalmans & Nino Mushkudiani, 2013. "Benchmarking Large Accounting Frameworks: A Generalized Multivariate Model," Economic Systems Research, Taylor & Francis Journals, vol. 25(4), pages 390-408, December.
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    8. Umed Temurshoev & Ronald E. Miller & Maaike C. Bouwmeester, 2013. "A Note On The Gras Method," Economic Systems Research, Taylor & Francis Journals, vol. 25(3), pages 361-367, September.
    9. Baoline Chen, 2007. "An Empirical Comparison of Methods for Temporal Distribution and Interpolation at the National Accounts," BEA Papers 0077, Bureau of Economic Analysis.
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    Cited by:

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    2. Ricci L. Reber & Sarah J. Pack, 2014. "Methods of Temporal Disaggregation for Estimating Output of the Insurance Industry," BEA Working Papers 0115, Bureau of Economic Analysis.

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