Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 5
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
The Role of Permanent Income and Demographics in Black/White Differences in Wealth AgEcon
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
Imagem não selecionada

Imprime registro no formato completo
An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models AgEcon
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
Imagem não selecionada

Imprime registro no formato completo
An Equilibrium Model of Sorting in an Urban Housing Market: The Causes and Consequences of Residential Segregation AgEcon
Bayer, Patrick; McMillan, Robert; Rueben, Kim.
This paper presents a new equilibrium framework for analyzing economic and policy questions related to the sorting of households within a large metropolitan area. We estimate the model using restricted-access Census data that precisely characterize residential and employment locations for households the San Francisco Bay Area, yielding accurate measures of preferences for a wide variety of housing and neighborhood attributes across different types of household. We use these estimates to explore the causes and consequences of racial segregation in general equilibrium. Our results indicate that, given the preference structure of households in the Bay Area, the elimination of racial differences in income and wealth would significantly increase the residential...
Tipo: Working or Discussion Paper Palavras-chave: Segregation; Sorting; Housing markets; Locational equilibrium; Residential choice; Discrete choice; Labor and Human Capital; Public Economics; H0; J7; R0; R2.
Ano: 2003 URL: http://purl.umn.edu/28503
Imagem não selecionada

Imprime registro no formato completo
What Drives Racial Segregation? New Evidence Using Census Microdata AgEcon
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
Imagem não selecionada

Imprime registro no formato completo
Residential Segregation in General Equilibrium AgEcon
Bayer, Patrick; McMillan, Robert; Rueben, Kim.
This paper studies the causes and consequences of racial segregation using a new general equilibrium model that treats neighborhood compositions as endogenous. The model is estimated using unusually detailed restricted Census microdata covering the entire San Francisco Bay Area, and in combination with a rich array of econometric estimates, serves as a powerful tool for carrying out counterfactual simulations that shed light on the causes and consequences of segregation. In terms of causes, and contrasting with prior research, our GE simulations indicate that equalizing income and education across race would be unlikely to result in significant reductions in racial segregation, as minority households would sort into newly formed minority neighborhoods....
Tipo: Working or Discussion Paper Palavras-chave: Segregation; General equilibrium; Endogenous sorting; Urban housing market; Locational equilibrium; Counterfactual simulation; Discrete choice; Labor and Human Capital; H0; J7; R0; R2.
Ano: 2004 URL: http://purl.umn.edu/28517
Registros recuperados: 5
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional