Authors :
Roshni Batra; Pranav Kapoor; Yukta Kelkar; Dhairya Gupta
Volume/Issue :
Volume 5 - 2020, Issue 4 - April
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/3fuApLt
Abstract :
This study investigates the impact of
population, literacy level and GDP on unemployment in
case of India over the period 1991-2018. The prime
objective of the study is to identify and establish a link
between GDP, literacy level, population level and
unemployment. The data is collected from world bank
website. The Augmented Dickey Fuller (ADF) test is
used to test the stationarity of the data. Further,
correlation is applied to determine the relation between
the variables and regression to find the variables having
maximum impact of unemployment. The results show
that the independent variables do not have a significant
impact on the dependent variable in the long run. The
research also provides recommendations for the policy
purpose to reduce the unemployment in the country.
Keywords :
Unemployment, Population, Literacy level, GDP.
This study investigates the impact of
population, literacy level and GDP on unemployment in
case of India over the period 1991-2018. The prime
objective of the study is to identify and establish a link
between GDP, literacy level, population level and
unemployment. The data is collected from world bank
website. The Augmented Dickey Fuller (ADF) test is
used to test the stationarity of the data. Further,
correlation is applied to determine the relation between
the variables and regression to find the variables having
maximum impact of unemployment. The results show
that the independent variables do not have a significant
impact on the dependent variable in the long run. The
research also provides recommendations for the policy
purpose to reduce the unemployment in the country.
Keywords :
Unemployment, Population, Literacy level, GDP.
