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A Generalization of Initial Conditions in Benchmarking of Economic Time-Series by Additive and Proportional Denton Methods

Author

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  • Vladimir Motorin

    (National Research University, Higher School of Economics, Moscow, Russia.)

Abstract

The paper presents unified analytical solution for combining highfrequency and low-frequency economic time-series by additive and proportional Denton methods with parametrical dependence on the initial values of variable and indicator in evident form. This solution spans Denton’s original and Cholette’s advanced benchmarking initial conditions as the subcases. Computational complexity of the obtained solution is associated with inversion of a square matrix of the order that is equal to the number of low-frequency observations available. Practical applying the proposed solution under data revisions allows to construct suboptimal concatenation of frozen and newly revised parts of benchmarked time-series by using the last benchmarked-to-indicator ratio (or benchmarked and indicator difference in additive case) from the range of data fixed as initial condition for benchmarking or rebenchmarking the newly revised data by the proportional (or additive) Denton method.

Suggested Citation

  • Vladimir Motorin, 2015. "A Generalization of Initial Conditions in Benchmarking of Economic Time-Series by Additive and Proportional Denton Methods," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 19(3), pages 251-264, Autumn.
    • Handle: RePEc:eut:journl:v:19:y:2015:i:3:p:251
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