Abstract
The object of this research is to analyze the inequality of income between provincestinIndonesiarwithbpanel1data1ingthesperiodr2012-2016. This study uses data from 34 Provinces and uses 2 conceptual frameworks with 3 test panel data models in selecting the best model. According to the test results show that the best model is the Common Effect Model (CEM) used inTanalyzing the factors affecting income inequality.The results showed that the variable of GRDP per capita (X1) had a negative and significant effect, the variable of population (X2) had positive effect but not significant and the variable (X3) Total (Capital Expenditure, Expenditure of Goods & Services and Employee Expenditure) had positive and significant effect on the Income Inequality in Province Indonesia in 2012-2016. Keywords: Inequality Of Incomes, PDRB percapita, Net of people, Capital Expenditure, Goods & Services Expense, Employee Expenditure, Panel Data.
Highlights
The results showed that the variable of GRDP per capita (X1) had a negative and significant effect, the variable of the population (X2) had a positive effect but not significant, and the variable (X3) Total (Capital Expenditure, Expenditure of Goods & Services and Employee Expenditure) had a positive and significant effect on the Income Inequality in Province Indonesia in 2012-2016
Apabila dilihat dari nilaiGVIF variabelKPDRB Per KapitaL(X1) sebesar 2.043,XJumlah Penduduk (X2) sebesar 1.214 dan Total (BelanjaBModal, BelanjaFBarang & Jasa dan BelanjaOPegawai) (X3) sebesar 2.195, menunjukkanZnilai ketigaKvariabel lebih kecilNdari 10.00 yang berartiYbahwa penelitianSini tidak terjadi multikolinearitasQkarena semuaEpertimbangan dan syarat-syarat5penelitian uji multikolinearitasEsudah terpenuhi
8. VariabelZTotal (BelanjaNModal, Belanja Barang &KJasa danLBelanja Pegawai) berpengaruh positif dan signifikan terhadap Ketimpangan PendapatanWProvinsi di IndonesiaVtahun 2012-2016.XMenurut nilai Koefisien regresiSvariabel X6 TotalV(BelanjaRModal, Belanja Barang & Jasa danRBelanja Pegawai) sebesarZ4.8412 dengan nilaiKprobabilitas adalah 0.0007 yang lebih kecil dari 0.05
Summary
Berdasarkan dari9ketiga model dataKpanel yaitu CommonTEffect Model, FixedREffect Model dan0Random EffectKModel.
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