Comparison of Global GDP Analytics– A Statistical Perspective

K. Sampath Kumar¹ , G. Sunitha² , S.A. JyothiRani³ , V.V. Haragopal⁴

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.4 , pp.133-139, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v5i4.133139

Online published on Aug 31, 2018

Copyright © K. Sampath Kumar, G. Sunitha, S.A. JyothiRani, V.V. Haragopal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Gross domestic product (GDP) is an indicator of the economic health of a country. The objective of the present paper is to make a comparative study of GDP of India, USA and Japan with various components viz., Agriculture, Mining Quarrying, Manufacturing, Electricity Gas Water Supply, Construction, Trade Hotels Transport, Finance Insurance Real Estate. For the study we evaluate the analytics by considering the yearly aggregate GDP data (Market Price) at constant prices for the period 1996-97 to 2015-16. For the study Multiple and Stepwise Regressions are applied and it is observed that, in India, Finance Insurance Real Estate, Manufacturing and Construction influences the GDP at constant prices while in USA, the independent variable, Trade Hotels Transport influences the GDP and in Japan, the independent variables, viz., Construction, Manufacturing, and Trade Hotels Transport influences the GDP. Also it is observed that there is a substantial amount of variation in GDP of Japan and USA than in India. Also, from this study we can claim that over the years India fares well in GDP as compared to the other two countries. Hence, the economy of India is very sound and consistent.

Key-Words / Index Term :
GDP, Multiple Regression, Stepwise Regression

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