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A further note on the derivation of quarterly figures consistent with annual data

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Abstract

Several methods have been devised to deal with the problem of constructing quarterly data (a) either when related series are available or (b) when only annual totals exist. Methods (a) lead to quarterly figures inconsistent with annual totals. Method (b) adds nothing to the economic interpretation of the quarterly phenomenon. Very little has been done to construct quarterly data using related series such that consistency with annual figures is ensured. This note tries to improve and clarify the interpretation of the only existing method we know of.
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  • GINSBURGH, Victor A., 1973. "A further note on the derivation of quarterly figures consistent with annual data," CORE Discussion Papers RP 161, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:161
    Note: In : Applied Statistics, 22(3), 368-374, 1973
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    Cited by:

    1. Jan Hanousek & Evžen Kočenda, 2011. "Public Investment and Fiscal Performance in the New EU Member States," Fiscal Studies, Institute for Fiscal Studies, vol. 32(1), pages 43-71, March.
    2. Rossana, Robert J., 1988. "Interrelated Demands for Buffer Stocks and Productive Inputs: Estimates for Two-Digit Manufacturing Industries," Department of Economics and Business - Archive 259428, North Carolina State University, Department of Economics.
    3. Christian Seiler, 2009. "Prediction Qualities of the Ifo Indicators on a Temporal Disaggregated German GDP," ifo Working Paper Series 67, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Eisa A. Aleisa & Shawkat Hammoudeh & Yuan Yuan, 2008. "External and Regional Shocks in the GCC Region: Implications for a Common Exchange Rate Regime," Working Papers 426, Economic Research Forum, revised 06 Jan 2008.
    5. Palm, Franz C. & Peeters, Marga & Pfann, Gerard A., 1993. "The dynamics of investment and labour demand: Theoretical issues and an application to the Dutch manufacturing industry," MPRA Paper 33042, University Library of Munich, Germany.
    6. Nijman, Th. & Palm, F.C., 1984. "Missing observations in a quarterly model for the aggregate labor market in the Netherlands," Serie Research Memoranda 0013, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    7. Jan Hanousek & Evžen Kočenda, 2011. "Vazba korupce a hospodářské svobody na veřejné finance a investice nových členů EU
      [Corruption and Economic Freedom Links to Public Finance and Investment in New EU Members]
      ," Politická ekonomie, University of Economics, Prague, vol. 2011(3), pages 310-328.
    8. Gelauff, G. M. M. & Harkema, R., 1977. "Estimating Quarterly Models With Partly Missing Quarterly Observations," Econometric Institute Archives 272160, Erasmus University Rotterdam.
    9. Palm, Franz C & Nijman, Theo E, 1984. "Missing Observations in the Dynamic Regression Model," Econometrica, Econometric Society, vol. 52(6), pages 1415-1435, November.
    10. Luiz Cerqueira & Adrian Pizzinga & Cristiano Fernandes, 2009. "Methodological Procedure for Estimating Brazilian Quarterly GDP Series," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(1), pages 102-114, February.
    11. repec:kap:iaecre:v:15:y:2009:i:1:p:102-114 is not listed on IDEAS
    12. Ard H.J. den Reijer, 2005. "Forecasting Dutch GDP using Large Scale Factor Models," DNB Working Papers 028, Netherlands Central Bank, Research Department.
    13. Arjan Kadareja, 2001. "The Fiscal Stabilization Policy under EMU - An Empirical Assessment," Working Papers 2001-20, CEPII research center.
    14. Ricardo Sanz, 1983. "Desagregación Temporal de Series Económicas," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 20(59), pages 85-100.

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