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Title: Decomposing Inequalities in Personal Income, 2008

Citation Type: Miscellaneous

Publication Year: 2010

Abstract: This analysis has three major purposes: 1.Which sources of income have contributed to total personal income inequality in the US in 2008? In this section we will utilize statistical tools developed by Shorrocks (1982) and extended by Lerman and Yitzhaki (1985). 2. Which population groups have influenced inequality and how much? Has the personal income gap between men and women, whites and non-whites, or between groups with different levels of educational attainment contributed significantly to personal income inequality? To answer this question, we decompose overall inequality into measures which assess within-group inequality, between-group inequality and a measure which identifies overlap among the groups. Statistical tools by Blinder (1973), Oaxaca (1973) and Lerman and Yitzhaki (1985) are utilized in this section. 3. Which factors have contributed to inequality? While the group analysis allows us to consider the contributions of various characteristics separately (e.g. gender, race, educational attainment, labor force participation and age), we want to consider all these factors simultaneously. We address this question using regression-based methods, decomposing inequality by various factors that we expect to influence personal incomes. Logistic regression is employed to calculate the impact of the factors on the odds and probability of enjoying an above median income.

User Submitted?: No

Authors: Morrison, Michael C.

Publisher: North Iowa Area Community College

Data Collections: IPUMS USA

Topics: Education, Gender, Other, Poverty and Welfare

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop