PEMODELAN REGRESI DATA PANEL UNTUK MENGKAJI KEMISKINAN DI PULAU JAWA

Abstract

Poverty, a widespread socio-economic phenomenon, delineates the struggle of individuals and families to meet basic needs due to limited resources. Indonesia grapples with notably high poverty rates, especially within the ASEAN region. Java Island, home to over half of Indonesia's population, serves as a microcosm reflecting the nation's economic landscape. Analyzing Java's dynamics provides insights into Indonesia's overall poverty profile. A meticulous panel data regression analysis, drawing from authoritative sources like the Badan Pusat Statistik (BPS) and provincial government websites, elucidated poverty determinants on Java Island. Results underscored key factors: unemployment rate, average schooling length, and labor force participation, explaining variations with an R-squared of 0.901217. Such findings equip policymakers to craft targeted interventions. Leveraging empirical insights, policymakers can devise evidence-based strategies addressing socio-economic challenges fueling poverty. Through education reform, employment initiatives, and labor market interventions, policymakers aim to alleviate poverty, fostering inclusive growth and social development across Java Island and beyond.