Abstract
This study aims to
examine the causal relationship between the variabels education level, income,
unemployment, and poverty in the District of Sumenep. Data that isused in this
study is a time series data from the period 2003-2012. Methods used to view the
data stationary using Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP)
method and testing the causal relationship between variables using Granger
Causality Test. Based on the results of the data analysis it can be concluded
that relationship between education level and poverty are not mutually
independence or influence; the relationship between poverty and unemployment is
not independence or influence each other; the relationship between unemployment
and income is interdependence or mutual influence; the relationship between
income and education level is interdependence or mutual influence; the
relationship between education level and unemployment are not mutually
independence or influence; the relationship between income and poverty is
interdependence or mutual influence. Furthermore, there is a very interesting
findings about the relationship interdependence is negative between education
level and income, especially higher education level and income. This requires
further study.
Keywords : Causality, education level, income,
unemployment, poverty
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