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Constrained retropolation of high-frequency data using related series: A simple dynamic model approach

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  • Tommaso Fonzo

    (Università di Padova)

Abstract

The static approach by Chow and Lin (1971) to temporal disaggregation of an economic series by related indicators is extended to back-calculate high-frequency data constrained to their low-frequency counterpart according to a simple dynamic model.

Suggested Citation

  • Tommaso Fonzo, 2003. "Constrained retropolation of high-frequency data using related series: A simple dynamic model approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 12(1), pages 109-119, February.
    • Handle: RePEc:spr:stmapp:v:12:y:2003:i:1:d:10.1007_bf02511587
    DOI: 10.1007/BF02511587
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    References listed on IDEAS

    as
    1. Santos Silva, J. M. C. & Cardoso, F. N., 2001. "The Chow-Lin method using dynamic models," Economic Modelling, Elsevier, vol. 18(2), pages 269-280, April.
    2. Dr Martin Weale, 1997. "Interpolation using a dynamic regression model: specification and Monte Carlo properties," National Institute of Economic and Social Research (NIESR) Discussion Papers 126, National Institute of Economic and Social Research.
    3. Andrew C. Harvey, 1990. "The Econometric Analysis of Time Series, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 026208189x, December.
    4. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
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    Cited by:

    1. Víctor M. Guerrero & Francisco Corona, 2018. "Retropolating some relevant series of Mexico's System of National Accounts at constant prices: The case of Mexico City's GDP," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 495-519, November.

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