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dc.contributor.authorSitepu, Sri Nathasya Br
dc.date.accessioned2023-09-20T07:52:29Z
dc.date.available2023-09-20T07:52:29Z
dc.date.issued2023
dc.identifier.issn2747-0695
dc.identifier.urihttps://dspace.uc.ac.id/handle/123456789/6647
dc.description.abstractThis study analysis of the percentage of poor people in eastern Indonesia:regencies/cities in East Nusa Tenggara, Maluku and Papua. This study used panel dataregression analysis techniques with Pooled least Square (PLS), Fixed Effect Model (FEM), andRandom Effect Model (REM). This study used panel data for 2010-2019 from 82regencies/cities in East Nusa Tenggara, Maluku and Papua. Research has two objectiveswhere, the first goal is to find a representative panel data regression model against theresearch data. The purpose of the second study was to find variables that affect thepercentage of poor people in East Nusa Tenggara, Maluku and Papua. The results of the studyfound that the fixed effect model (FEM) is the best model for analyzing the percentage of poorpeople. The GDP of regencies/cities and education are variables that have a significant effecton reducing the percentage of poor people in East Nusa Tenggara, Maluku and Papua.en_US
dc.publisherIndonesian Journal of Economics and Management (IJEM)en_US
dc.subjectPercentage of Poor Peopleen_US
dc.subjectPanel Dataen_US
dc.subjectPooled least Square (PLS)en_US
dc.subjectFixed Effect Model (FEM)en_US
dc.subjectRandom Effect Model (REM)en_US
dc.titleEffect of Access to Electricity, Access to Sanitation, Decent Drinking Water, Education, GDP, Population and Capital Expenditure on The Percentage of Poor Peopleen_US
dc.typeArticleen_US


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