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In this article, we will carry out an analysis on the regularity of the Gross Domestic Product of a country, in our case the United States. The method of analysis is based on the consideration of the development in the Fourier series of a function and testing in terms of the average absolute error of the nearest polynomial Fourier of real data are considered. The obtained results show a cycle for 13 years, the average absolute error being 3.69%. The method described allows an prognosis on shortterm trends in GDP

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  • Catalin Angelo Ioan

    (Danubius University of Galati, Romania)

  • Gina Ioan

    (Danubius University of Galati, Romania)

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  • Catalin Angelo Ioan & Gina Ioan, 2011. "In this article, we will carry out an analysis on the regularity of the Gross Domestic Product of a country, in our case the United States. The method of analysis is based on the consideration of the ," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 4(4), pages 142-157, August.
    • Handle: RePEc:dug:actaec:y:2011:i:4:p:142-157
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    File URL: http://journals.univ-danubius.ro/index.php/oeconomica/article/view/949/922
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    References listed on IDEAS

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    1. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    2. Angus Maddison, 2007. "Fluctuations in the momentum of growth within the capitalist epoch," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 1(2), pages 145-175, July.
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    Keywords

    GDP; cycle; Fourier; regression;
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