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Entropy‐based benchmarking methods

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Abstract

This paper argues that benchmarking of sign‐volatile time series has to be based on the principle of movement and sign preservation, which requires the benchmarked series to reproduce both the short‐term movements and signs of the original series. It is shown that the widely used variants of Denton method and the Causey‐Trager growth rate preservation method may violate this principle. Four variants of entropy‐based benchmarking methods are proposed that, by construction, account for the requirements of the movement and sign preservation principle. Our extensive simulations confirm that the proposed entropy methods can be regarded as plausible competitors for the well‐established benchmarking methods and may even be preferred in cases of benchmarking series that are highly volatile in sign and/or movements.

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  • Umed Temursho, 2018. "Entropy‐based benchmarking methods," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 421-446, November.
    • Handle: RePEc:bla:stanee:v:72:y:2018:i:4:p:421-446
    DOI: 10.1111/stan.12160
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    9. 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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    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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