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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References listed on IDEAS
- 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.
- Kydland, Finn E & Prescott, Edward C, 1982.
"Time to Build and Aggregate Fluctuations,"
Econometric Society, vol. 50(6), pages 1345-1370, November.
- Finn E. Kydland & Edward C. Prescott, 1982. "Executable program for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4, Quantitative Macroeconomics & Real Business Cycles.
- Finn E. Kydland & Edward C. Prescott, 1982. "Web interface for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4a, Quantitative Macroeconomics & Real Business Cycles.
More about this item
KeywordsGDP; cycle; Fourier; regression;
StatisticsAccess and download statistics
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