Politická ekonomie 2016, 64(6):633-650 | DOI: 10.18267/j.polek.1101

Příspěvek k časnějším odhadům hodnot čtvrtletních národních účtů

Luboš Marek, Stanislava Hronová, Richard Hindls
Vysoká škola ekonomická v Praze, Fakulta informatiky a statistiky.

Contribution to the Earlier Estimations of Quarterly National Accounts

Quarterly national accounts provide short-term macroeconomic information matched with those of the annual accounts. Their mission is to provide synthetic information as soon as possible after the end of the quarter. Due to the pressure, caused by Eurostat shortening deadlines on publishing this information, the task is more of creating a methodology to be used in the Czech Republic. Based on faster and more effi cient approaches, it should enable to perform and present estimates of aggregates of quarterly national accounts for the last quarter (and forecasts for the current quarter) at a satisfactory level of reliability. Basic considerations on the methods of quarterly estimation should therefore depend on indirect methods, ie., on mathematical and statistical models, that enable (given there is a system of short survey estimates) to accelerate and shorten publishing. The article off ers an original methodology of estimating quarterly national accounts values, based on time series analysis and presents the results on the data of national accounts of the Czech Republic.

Keywords: system of national accounts, quarterly accounts, mathematical and statistical approach to the compilation of quarterly national accounts
JEL classification: C02, E01, N01

Published: October 1, 2016  Show citation

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Marek, L., Hronová, S., & Hindls, R. (2016). Contribution to the Earlier Estimations of Quarterly National Accounts. Politická ekonomie64(6), 633-650. doi: 10.18267/j.polek.1101
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References

  1. Box, G. E. P.; Jenkins, G. M.; Reinsel, G.C. (1994). Time series analysis, forecasting and control. Third edition. New Jersey: Prentice-Hall, Inc. Englewood Cliffs.
  2. Boots, J. C. C.; Feibes, W.; Lisman, H. H. C. (1967). Further Methods of Derivation of Quarterly Figures from Annual Data. Applied Statistics, 16(1), 65-75, http://dx.doi.org/10.2307/2985238 Go to original source...
  3. Bournay, J.; Laroque, G. (1979). Réflexions sur la méthode d´élaboration des comptes trimestriels. Annales de l'INSEE, 11(36), 3-30, http://dx.doi.org/10.2307/20075332 Go to original source...
  4. Denton, F. T. (1991). Adjustment of monthly and quarterly series to annual tools: An approach based on quadratic minimization. Journal of American Statistical Association, 66(333), 99-102. Dostupné z: http://www.oecd.org/std/21779760.pdf Go to original source...
  5. Dureau, G. (1991). Les comptes nationaux trimestriels. Paris: INSEE - Méthodes No. 13.
  6. Eurostat (1996). European System of Accounts (ESA 1995). Eurostat, Luxembourg.
  7. Eurostat (1999). Handbook on quarterly national accounts. Eurostat, Luxembourg.
  8. Eurostat (2010). European System of Accounts (ESA 2010). Eurostat, Luxembourg 2013.
  9. Fischer, J.; Sixta, J. (2009). K propočtu souhrnné produktivity faktorů. Politická ekonomie, 57(4), 544-554, http://dx.doi.org/10.18267/j.polek.698 Go to original source...
  10. Friedman, M. (1962). The Interpolation of Time Series by Related Series. Journal of the American Statistical Association, 57(300), 729-757, http://dx.doi.org/10.2307/2281805 Go to original source...
  11. Granger, C. W. J.; Newbold, P. (1986). Forecasting Economic Time Series. New York: Academic Press. Go to original source...
  12. Hindls, R.; Hronová, S. (1996). Les prévisions trimestrielles du PIB en République Tchèque. Bulletin de l´ACN, 33, 2-13.
  13. Hronová, S.; Hindls, R. (2000). Národní účetnictví - koncept a analýzy. Praha: C. H. Beck. ISBN: 80-7179-235-7.
  14. Hronová, S.; Fischer, J.; Hindls, R.; Sixta, J. (2009). Národní účetnictví - nástroj popisu globální ekonomiky. Praha: C. H. Beck. ISBN: 978-80-7400-153-6.
  15. Chow, G.; Lin, A. L. (1971). Best Linear Unbiased Interpolation, Distribution and Extrapolation of Time Series by Related Series. Review of Economics and Statistics, 53(4), 372-375, http://dx.doi.org/10.2307/1928739 Go to original source...
  16. Jílek, J. (1998). Vlastnosti vybraných variant čtvrtletních odhadů hrubého domácího produktu. Politická ekonomie, 46(4), 513-525, http://dx.doi.org/10.18267/j.polek.240 Go to original source...
  17. Kozák, J.; Hindls, R.; Hronová, S. (2000). Some Remarks to the Methodology of the Allocation of Yearly Observations into Seasons. Statistics in Transition. 4(5), 815-826.
  18. Kozák, J.; Hindls, R.; Hronová, S. (2000). Some Remarks to the Modelling of Time Series with Seasonal Component. Socio-economical Applications of the Statistical Methods. 84-102.
  19. Kozák, J.; Hindls, R.; Hronová, S. (2002). Retropolation Models of Economical Aggregates. Austrian Journal of Statistics. 31(2&3), 189-201. Dostupné z: http://www.ajs.or.at/index.php/ajs/article/view/vol31,%20no2%263%20-%207
  20. Kozák, J. (1995). Možnosti využití expertních informací při konstrukci předpovědí na bázi klasického lineárního modelu časové řady. Statistické a pravděpodobnostní postupy v ekonomii. Acta Oeconomia Pragensia. 3(1), 117-142.
  21. Marek, L. (2010). Analýza vývoje mezd v ČR v letech 1995-2008. Politická ekonomie. 58(2), 186-206, http://dx.doi.org/10.18267/j.polek.726 Go to original source...
  22. Nasse, P. (1973). Le système des comptes nationaux trimestrieles. Annales de l´INSEE, 5(14), 119-165, http://dx.doi.org/10.2307/20075174 Go to original source...
  23. Pankratz, A. (1991). Forecasting with dynamic regression models. New York: John Wiley & Sons. ISBN: 978-1853105845. Go to original source...
  24. SCA Statistical System (1991). Reference manual for general statistical analysis. Scientific Associates Corp. Oak Brook, USA.
  25. UN (1993). System of National Accounts 1993 (SNA 1993). United Nations, New York.
  26. WEI, W. W. W. (1990). Time Series Analysis, Unvariate and Multivariate Methods. Redwood City, California: Addison-Wesley Publishing Company Inc.

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