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Altonji, Joseph G.; Doraszelski, Ulrich. |
We explore the extent to which the huge race gap in wealth can be explained with properly constructed income and demographic variables. In some instances we explain the entire wealth gap with income and demographics provided that we estimate the wealth model on a sample of whites. However, we typically explain a much smaller fraction when we estimate the wealth model on a black sample. Using sibling comparisons to control for intergenerational transfers and the effects of adverse history, we find that differences in income and demographics are not likely to account for the lower explanatory power of the black wealth models. Our analysis of growth models of wealth suggests that differences in savings behavior and/or rates of return play an important role. |
Tipo: Working or Discussion Paper |
Palavras-chave: Black-White wealth gap; Siblings; Savings; Consumer/Household Economics; D31; J7; D91. |
Ano: 2002 |
URL: http://purl.umn.edu/28493 |
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Fairlie, Robert W.. |
The Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of group differences in measurable characteristics, such as education, experience, marital status, and geographical differences to racial and gender gaps in outcomes. The technique cannot be used directly, however, if the outcome is binary and the coefficients are from a logit or probit model. I describe a relatively simple method of performing a decomposition that uses estimates from a logit or probit model. Expanding on the original application of the technique in Fairlie (1999), I provide a more thorough discussion of how to apply the technique, an analysis of the sensitivity of the decomposition estimates to different parameters, and the... |
Tipo: Working or Discussion Paper |
Palavras-chave: Logit; Probit; Decomposition; Race; Gender; Discrimination; Research Methods/ Statistical Methods; C8; J7. |
Ano: 2003 |
URL: http://purl.umn.edu/28425 |
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Bayer, Patrick; McMillan, Robert; Rueben, Kim. |
This paper sheds new light on the forces that drive residential segregation on the basis of race, assessing the extent to which across-race differences in other household characteristics can explain a significant portion of observed racial segregation. The central contribution of the analysis is to provide a transparent new measurement framework for understanding segregation patterns. This framework allows researchers to characterize patterns of segregation, to decompose them in meaningful ways, and to carry out partial equilibrium counterfactuals that illuminate the contributions of a variety of non-race characteristics in driving segregation. We illustrate our approach using restricted micro-Census data from the San Francisco Bay Area that provide a rich... |
Tipo: Working or Discussion Paper |
Palavras-chave: Residential segregation; Racial segregation; Sorting; Housing markets; Labor and Human Capital; H0; J7; R0; R2. |
Ano: 2003 |
URL: http://purl.umn.edu/28435 |
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