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Full-Text Articles in Labor Economics
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.
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.