Pemodelan Regresi Data Panel pada Data Kemiskinan di Provinsi Jawa Timur
Keywords:
Poverty, Panel Data, Panel Regression, Panel Spesification TestAbstract
Poverty is a condition in which a person or group of people is unable to fulfill their basic rights, such as the fulfillment of the needs for food, health, education, employment, housing, clean water, natural resources and the environment, a sense of protection and social and political rights. According to Badan Pusat Statistik (BPS), until March 2021 there are at least 4.6 million people classified as poor in East Java with the proportion reaching 16.6% of the total national. To solve the problem of poverty in East Java, it is necessary to know the factors that cause poverty, then look for models based on data over several periods. One of the analyzes that can be used to determine the factors that influence the variable response by looking at changes over time is to use panel regression data. The data used in this study are the factors that affect the percentage of the poor population which includes the human development index (X1), the open unemployment rate (X2), the average length of schooling (X3), gross regional domestic product (X4) and the number of life expectancy (X5) in East Java Province in 2018-2021. Based on the data, it is known that the highest average percentage of poor people is in Sampang Regency at 21.56% with the lowest average percentage of poor people in Batu City at 3.86. Based on the analysis, the best model obtained is the Fixed Effect Model (FEM) with variables that significantly affect poverty in East Java Province including the human development index, open unemployment rate, average length of schooling, gross regional domestic product, and life expectancy.
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