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Monika di badan pusat statistik
Monika di badan pusat statistik








monika di badan pusat statistik

Journal of Development Economics, 14(3), 419-28. Population increase, economic growth, educational inequality, and income distribution. Economics of education: An assessment of recent methodological advances and empirical result. Jurnal Berkala Ilmiah Efisiensi, 16(1), 339-351. Analisis pertumbuhan ekonomi dan kemiskinan terhadap tingkat ketimpangan di Provinsi Sulawesi Utara. Theory and Research in Education, 8 (1), 5-20. The relationship between income inequality and inequality in schooling. Journal of Entrepreneurship and Business, 2, 40-48. Human capital and income inequality in developing countries: New evidence using the gini coefficient. International Conference on Management Science & Engineering (22th). The nexus of income gap, economic growth and educational inequality in China. Explaining international and intertemporal variation in income inequality. Frontiers of Education in China, 4(3), 413-434. Educational inequality and income inequality: An empirical study on China. Education and income inequality: New evidence from cross-country data. Should less inequality in education lead to a more equal income distribution?. Education inequality, economic growth, and income inequality: Evidence from Indonesia, 1996-2005. The World Bank Economic Review, 9(3), 477-508. Inequality and growth reconsidered: Lessons from East Asia.

monika di badan pusat statistik

Jakartaīirdsall, N., Ross, D., & Sabot, R. Keywords : income inequality educational inequality 2SLSīadan Pusat Statistik (BPS). The income inequality has an insignificant effect on educational inequality. While educational inequality is influenced by government spending in education and urbanization with a significant negative effect and lag of educational inequality has a significant positive effect on educational inequality. The results of this study explain income inequality is influenced by education inequality variables and income inequality lag, which is significantly positive while per capita economic growth and urbanization variables do not have a significant effect on income inequality that occurs in Indonesia. The research method used is 2SLS (two stage least squares) with fixed effects selected as the best parameter estimation method. The data used are secondary data in the form of panels for the period 2010 to 2017 as many as 33 provinces in Indonesia. Several factors affect education inequality and income inequality such as government spending in education and urbanization. This study aims to determine the factors of educational and income inequality decreased in Indonesia.










Monika di badan pusat statistik