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Full-Text Articles in Social and Behavioral Sciences
Analyzing And Decomposing South African Income Inequality By Income Source, Race, And Poverty Level For 2008 And 2014, Zia Saylor
Undergraduate Economic Review
In South Africa’s apartheid regime a white minority controlled the black African majority from 1948 until 1994, creating income and wealth inequalities between the different races that linger today. This paper uses data from the 2008 and 2014 National Income Dynamics Survey (NIDS) to understand income inequalities within and between racial categories, to examine how different income sources contribute to overall income inequality, and to study how the interaction between race and poverty shapes the inequality between African households when decomposing into subgroups above and below the poverty line. For this study, I use Gini coefficients to measure inequality. My …
Determinants Of County-Level Poverty Rates In 2017: An Upper-Midwest Comparison, Trey V. Perez
Determinants Of County-Level Poverty Rates In 2017: An Upper-Midwest Comparison, Trey V. Perez
Undergraduate Economic Review
The American upper-Midwest as a region throughout the 2010s has experienced lower-than-average poverty rates. This paper seeks to uncover the determinants that have the greatest impact on the county-level poverty rates for five states (Iowa, Minnesota, Wisconsin, and the Dakotas). Outcomes for this study came from an Ordinary Least Squares (OLS) regression to estimate the impact each independent variable had on the poverty rate. The empirical results showed the unemployment rate, the percentage of households headed solely by females, and percent of the population that was Native American in 2017 had a significant impact on a county’s poverty rate.
The Relationship Between College Expansion And Income Inequality, Aidan J. Wang
The Relationship Between College Expansion And Income Inequality, Aidan J. Wang
Undergraduate Economic Review
This paper examines the relationship between college expansion and income inequality within a country. Researchers have identified a “composition effect,” “compression effect,” and “dispersion effect.” However, the shape and magnitude of the net relationship remains unclear. I construct a country panel using inequality data from the World Inequality Database and college share data from Barro and Lee. From 0% to 27% college share, the bottom 50% and middle 40% income shares decrease linearly while the top 10% income share increases linearly. The trend shape holds for a sample of only OECD countries, but the magnitude changes, suggesting country-specific factors matter.
Corruption, Income Inequality, And Subsequent Economic Growth, Josh Matti
Corruption, Income Inequality, And Subsequent Economic Growth, Josh Matti
Undergraduate Economic Review
This paper attempts to untangle the link between corruption and income inequality with subsequent economic growth. It uses standard OLS multiple regression analysis and data from 134 countries over a ten year time frame to test the hypothesis that after controlling for corruption, income inequality will be less significant in explaining subsequent growth rates. Perhaps it is not income equality that fosters economic growth, but rather a decrease in corruption that causes both economic growth and greater equality. This study yields some expected findings in support of well-established variables and concludes that inequality harms growth even after controlling for corruption.