Abstract
Old preliminary data should not be removed when new data arrives, otherwise important information is lost. Economic research, especially modelling, needs this data. The costs of saving old preliminary data can be made very small by proper arrangement of data and with simple bookkeeping about when and from where the data came. As an example, the database of the Research Institute of the Finnish Economy (ETLA) is described.
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References
Boucelham, J. and T. Teräsvirta (1989). How to use preliminary values in forecasting the monthly index of industrial production? The Research Institute of the Finnish Economy (ETLA), Discussion Paper No 284.
Jong, P. de (1987). Rational economic data revisions. Journal of Business & Economic Statistics 5, 539–548.
Trivellato, U. and E. Rettore (1986). Preliminary data errors and their impact on the forecast error of simultaneous-equation models. Journal of Business & Economic Statistics 4, 445–453.
See almost any issue of International Journal of Forecasting or Journal of Business & Economic Statistics.
Vajanne, H. (1989). Table manual (in Finnish, unpublished).
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© 1990 Springer-Verlag Berlin Heidelberg
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Lassila, J. (1990). Preliminary data in economic databases. In: Michalewicz, Z. (eds) Statistical and Scientific Database Management. SSDBM 1990. Lecture Notes in Computer Science, vol 420. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52342-1_30
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DOI: https://doi.org/10.1007/3-540-52342-1_30
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