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Articles 1 - 7 of 7
Full-Text Articles in Income Distribution
The Effect Of Income On Healthy Food Options, Hannah M. Doherty
The Effect Of Income On Healthy Food Options, Hannah M. Doherty
Undergraduate Economic Review
This paper explores the effect of income per capita on the number of grocery stores and fast-food franchises in an area. Using a panel dataset to allow for the inclusion of every county in the United States across a period of three years, the results suggest that the income per capita of a county significantly impacts the number of grocery stores and fast-food restaurants in the area. Other factors such as education, age, and attributes regarding time constraints also play an important role in determining the number of grocery stores and fast-food franchises in a location.
Labor Market Monopsony And Wage Inequality: Evidence From Online Labor Market Vacancies, Samuel I. Thorpe
Labor Market Monopsony And Wage Inequality: Evidence From Online Labor Market Vacancies, Samuel I. Thorpe
Undergraduate Economic Review
This paper estimates the effects of employer labor market power on wage inequality in the United States. I find that inequality as measured by interdecile range is 23.7% higher in perfectly monopsonistic labor markets than in perfectly competitive markets, even when controlling for commuting zone and occupation fixed effects. I also decompose these results into 50/10 and 90/50 ratios, finding much larger impacts on inequality among low earners. These results suggest that monopsony power has significant and policy-relevant impacts on wage inequality, and particularly harms the lowest earning subsets of the labor force.
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.
Poverty And Labor Force Participation Across Metropolitan Philadelphia, Zachary J. Porreca
Poverty And Labor Force Participation Across Metropolitan Philadelphia, Zachary J. Porreca
Undergraduate Economic Review
This study utilizes data drawn from municipalities across the Philadelphia metropolitan area to examine trends in poverty amongst communities.While some research has been done on urban and rural poverty, this paper seeks to fill the gap in literature regarding poverty across the subksnurban and metropolitan landscape. A multiple regression model is specified, so as to provide an in depth analysis of observed trends. The central hypothesis that a relationship exists between poverty and labor force participation is tested and affirmed. The implication of this finding, as well as auxiliary findings, are explored and expanded upon. Recommendations are made for more …
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.
An Examination Of The Stock Market’S Effect On Economic Inequality, Nicholas J. Golina
An Examination Of The Stock Market’S Effect On Economic Inequality, Nicholas J. Golina
Undergraduate Economic Review
The literature on economic inequality has shown that stock markets can negatively impact aggregate demand because it indicates a higher concentration of wealth in the hands of the top 10% as opposed to the middle class. The stock market could be one of the factors leading to increased inequality. This study contributes to the literature by analyzing stock markets in OECD countries. Building on Tsountas et al (2015), the results showed that stock markets can have a positive impact on inequality, but with weak economic significance. It is recommended that policymakers should focus on factors that more greatly impact inequality.
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.