Behavior of the U.S. Economic Growth: An Empirical Analysis
International Journal of Finance and Banking Research
Volume 4, Issue 2, April 2018, Pages: 25-39
Received: Jan. 20, 2018;
Accepted: May 22, 2018;
Published: Jul. 3, 2018
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Md Niaz Murshed Chowdhury, Department of Economics, University of Nevada Reno, Reno, USA
Sharmina Khanom, Department of Economics and Banking, International Islamic University Chittagong, Chittagong, Bangladesh
Mahamuda Firoj, Department of Economics and Banking, International Islamic University Chittagong, Chittagong, Bangladesh
Shamima Nasrin Emu, Department of Economics and Banking, International Islamic University Chittagong, Chittagong, Bangladesh
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The purpose of this paper is to measure behavior of the U.S. economic growth and views the future from 2015-2035 while pretending that the financial crisis did not happen. The sample period for investigation in 1945-2015 the empirical analysis of this study employed annual secondary time series data, collected from different sources. Three influential factors of growth are the labor force, technology, and capital, and our most important finding is that growth of technology is the highest influential among them and thus special attention should be given its advancement. The growth rate of GDP is at 2.07% as of 2015, but using the first order exponential model, it will slow down to 1.38% by 2035. The findings were conclusive in that total production was made up of 57.5% technology, 28.8% labor, and 12.8% capital. Technology makes up the greatest fraction of total production and changes in labor and capital would not affect the growth rate as much as technology can and it was projected that in 20 years, the GDP level could be anywhere from $19,138.8 using the polynomial model to $34,681.8 using the first order exponential model. The longest business cycle the U.S. has experienced was from 1989-2008, under which the economy had its longest stretch of better than experience performance. Growth gradually accelerated after 1950, reached a peak in the middle of the 20th century, and has been slowing down since. The most effective way to increase the growth rate is to increase the level of technology because the diminishing returns to labor and capital decrease the growth rate of GDP. A key idea to take away from this paper is that while a model fit the current data well, it may weigh recent events to heavily, recessionary or exponential growth, the average between the most optimistic and pessimistic models may be the best bet.
Economic Growth, Technology, Polynomial Model, Productivity, Exponential Model, Linear Model
To cite this article
Md Niaz Murshed Chowdhury,
Shamima Nasrin Emu,
Behavior of the U.S. Economic Growth: An Empirical Analysis, International Journal of Finance and Banking Research.
Vol. 4, No. 2,
2018, pp. 25-39.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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