UCSC ECON 101 - 01 - 197,3 (2 pages)

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197,3



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197,3

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2
School:
University of California, Santa Cruz
Course:
Econ 101 - 01 - Managerial Econ

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Yin1 Hongjie Yin Blake 1408480 Econ 197 Assignment 4 Topic Proposal and Annotated Bibliography Income inequality is likely in U S economy is less likely to decrease because of the resultant forces of many factors Those factors include racial diversity demographic distribution and distribution of education These factors are not only the characteristics defining U S but also the reasons contributing to income inequality The U S society is famous for its racial diversity Observing from statistics income differences among races are obvious The differences of income among races contribute to income inequality and racial income inequality causes reducing trust thus further increases racial fragmentation and causes further increase in income inequality Also the unique demographic distribution and aging factor enlarge income inequality The State s spreading out demographic distribution increases income inequality because people at different age earns different levels of income when given other factors are equal Therefore income inequality tends to grow in U S economy Source 1 Park Gowun 2017 Three essays on inequality in the united states Available from EconLit 1983784999 1677467 Retrieved from https search proquestcom oca ucsc edu docview 1983784999 accountid 14523 This source derives the reasons behind income inequalities using U S economy as a prototype First essay divides income inequality into several components such as wage inequality interest inequality ect Second essay focuses on factors that contribute to wage inequality and third essay relates the income inequality to characteristics of the U S society This source provides facts statistics and analysis of income inequality of U S economy It is an information provider where many information can be used as evidences to support my thesis The source provides plenty of factors that could result in income inequality such as retirement income and self employment income Those are valuable Yin2 components that I could use when developing arguments This source can be used as a toolbox that I could choose the information I needed and put them in use Source 2 Bureau of Census Mean Earnings By Highest Level Of Education Or Degree And Selected Characteristics 2016 By Age Sex And Race ProQuest Statistical Abstract of the U S 2018 Online Edition Ed ProQuest 2018 Web ProQuest Statistical Abstract 07 18 https statabs proquest com oca ucsc edu sa docview html table no 254 accno C7095 1 4 year 2018 z A6DEFF473A4D8B7E5B5FD747822E0C8BA32A020A This source is a table that depicts the position correlation between wages and education levels Notably the table displays several groups such as aging gender and race In this way it is obvious to compare the wage differences among different ages genders and races at a certain education level Also table shows the mean wage of each group This source provides numerical evidence to support the income inequality among demography and races This source helps when adding data and



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