The present study examines the influence of inflation, population and per capital income on Indianís economy using
data from 1980-2017 gotten from world bank database. The study made use of estimation techniques of ADF for
stationary test, Johansen Co-integration and unrestricted VAR using Eviews 9.0. software. The result of the study
reveals a long run causality from Inflation, Population as well as Per Capita Income to GDP of India which implies a
long run association among the variables: Inflation, Population as well as Per Capita Income with respect to GDP.
Also, no short run causality existed from population to Indianís GDP. Furthermore, short run causality did not exist
from Inflation and Per Capita Income to Indianís GDP. This paper concludes that on the long run, Inflation, Per
Capita Income (GNI) and Population influence the economy growth of India.
Inflation, Per Capita Income, Population, GDP
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Mutations in , and are not associated with Alzheimer's disease in a Chinese population: a case-control study.
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Assessing the Influence of Community Health Worker Support on Early Antiretroviral Therapy Adherence, Anticipated Stigma, and Mental Health Among People Living with HIV in Tanzania.
Knettel BA, Wanda L, Amiri I, Myers J, Fernandez KM, Muiruri C, Watt MH, Mmbaga BT, Relf MV
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