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The Open Society, Institutions and Economic Performance

Author

Listed:
  • Catalin Angelo IOAN

    (Danubius University of Galati, Department of Economics, Romania)

  • Gina IOAN

    (Danubius University of Galati, Department of Economics, Romania)

Abstract

This paper presents a method for adjusting the time series in the direction of the minimum deviation of the transition process from one period to another. The formulas so obtained satisfy the condition of invariance of aggregate data, the stability on successive re-adjustment action and the minimum deviation of the linear forecast compared to the original.

Suggested Citation

  • Catalin Angelo IOAN & Gina IOAN, 2013. "The Open Society, Institutions and Economic Performance," EuroEconomica, Danubius University of Galati, issue 2(32), pages 175-180, September.
    • Handle: RePEc:dug:journl:y:2013:i:2:p:175-180
    as

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    File URL: http://journals.univ-danubius.ro/index.php/euroeconomica/article/view/1968/1959
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    References listed on IDEAS

    as
    1. Gersch, Will & Kitagawa, Genshiro, 1983. "The Prediction of Time Series with Trends and Seasonalities," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 253-264, July.
    2. Nerlove, Marc & Grether, David M. & Carvalho, José L., 1979. "Analysis of Economic Time Series," Elsevier Monographs, Elsevier, edition 1, number 9780125157506 edited by Shell, Karl.
    3. Ghysels, Eric, 1993. "Editor's introduction : Seasonality and econometric models," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 1-8.
    4. Robert F. Engle, 1978. "Estimating Structural Models of Seasonality," NBER Chapters, in: Seasonal Analysis of Economic Time Series, pages 281-308, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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