Ethnicity and earnings in urban Perú

Autores
Ñopo, Hugo; Saavedra, Jaime; Torero, Máximo
Año de publicación
2003
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Our approach to the concept of ethnicity involves the usage of instruments in many of its several dimensions: mother tongue, parental background, religion, migration events and race. In order to approximate what can be called racial differences in a context like the Peruvian in which "racial mixture" is the main characteristic of the population, we use a score-based procedure to capture both the differences and the mixtures. By means of this procedure each individual is assigned intensities by pollsters in each of the four categories that correspond to the most easily recognized distinct racial groups in the Peruvian society: Asiatic, White, Indigenous, and Black. We find that the multidimensional race indicator is correlated with several human capital and physical capital assets, as well as with access to public services. Using Blinder-Oaxaca (B-O) decompositions we find that a substantial part of the earnings differences between racial groups cannot be explained by differences in individual characteristics. To take into account the fact that B-O doesn't consider the probability distribution of the individual characteristics, and specifically race in our case, we also use a semi-parametric technique for the estimation of differences in hourly earnings. This estimation treats the typical wage equations in a linear fashion but let estimators for the racial intensity effects to interact freely, without restricting them to a functional form. The results suggests that among wage earners after controlling for a large set of characteristics, there are racially related earnings differences in favor of predominantly White individuals. In the case of the self-employed, none of the empirical distributions of earning differences attributable to race is substantially above zero.
Departamento de Economía
Materia
Ciencias Económicas
JEL: J15, J31, J71
Perú
grupo étnico
ingreso
race discrimination
semi-parametric
wage differentials
minorities
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/3820

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spelling Ethnicity and earnings in urban PerúÑopo, HugoSaavedra, JaimeTorero, MáximoCiencias EconómicasJEL: J15, J31, J71Perúgrupo étnicoingresorace discriminationsemi-parametricwage differentialsminoritiesOur approach to the concept of ethnicity involves the usage of instruments in many of its several dimensions: mother tongue, parental background, religion, migration events and race. In order to approximate what can be called racial differences in a context like the Peruvian in which "racial mixture" is the main characteristic of the population, we use a score-based procedure to capture both the differences and the mixtures. By means of this procedure each individual is assigned intensities by pollsters in each of the four categories that correspond to the most easily recognized distinct racial groups in the Peruvian society: Asiatic, White, Indigenous, and Black. We find that the multidimensional race indicator is correlated with several human capital and physical capital assets, as well as with access to public services. Using Blinder-Oaxaca (B-O) decompositions we find that a substantial part of the earnings differences between racial groups cannot be explained by differences in individual characteristics. To take into account the fact that B-O doesn't consider the probability distribution of the individual characteristics, and specifically race in our case, we also use a semi-parametric technique for the estimation of differences in hourly earnings. This estimation treats the typical wage equations in a linear fashion but let estimators for the racial intensity effects to interact freely, without restricting them to a functional form. The results suggests that among wage earners after controlling for a large set of characteristics, there are racially related earnings differences in favor of predominantly White individuals. In the case of the self-employed, none of the empirical distributions of earning differences attributable to race is substantially above zero.Departamento de Economía2003-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/3820enginfo:eu-repo/semantics/altIdentifier/url/http://www.depeco.econo.unlp.edu.ar/reunion_desigualdad/trabajo9.pdfinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:49:21Zoai:sedici.unlp.edu.ar:10915/3820Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:49:21.781SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Ethnicity and earnings in urban Perú
title Ethnicity and earnings in urban Perú
spellingShingle Ethnicity and earnings in urban Perú
Ñopo, Hugo
Ciencias Económicas
JEL: J15, J31, J71
Perú
grupo étnico
ingreso
race discrimination
semi-parametric
wage differentials
minorities
title_short Ethnicity and earnings in urban Perú
title_full Ethnicity and earnings in urban Perú
title_fullStr Ethnicity and earnings in urban Perú
title_full_unstemmed Ethnicity and earnings in urban Perú
title_sort Ethnicity and earnings in urban Perú
dc.creator.none.fl_str_mv Ñopo, Hugo
Saavedra, Jaime
Torero, Máximo
author Ñopo, Hugo
author_facet Ñopo, Hugo
Saavedra, Jaime
Torero, Máximo
author_role author
author2 Saavedra, Jaime
Torero, Máximo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Económicas
JEL: J15, J31, J71
Perú
grupo étnico
ingreso
race discrimination
semi-parametric
wage differentials
minorities
topic Ciencias Económicas
JEL: J15, J31, J71
Perú
grupo étnico
ingreso
race discrimination
semi-parametric
wage differentials
minorities
dc.description.none.fl_txt_mv Our approach to the concept of ethnicity involves the usage of instruments in many of its several dimensions: mother tongue, parental background, religion, migration events and race. In order to approximate what can be called racial differences in a context like the Peruvian in which "racial mixture" is the main characteristic of the population, we use a score-based procedure to capture both the differences and the mixtures. By means of this procedure each individual is assigned intensities by pollsters in each of the four categories that correspond to the most easily recognized distinct racial groups in the Peruvian society: Asiatic, White, Indigenous, and Black. We find that the multidimensional race indicator is correlated with several human capital and physical capital assets, as well as with access to public services. Using Blinder-Oaxaca (B-O) decompositions we find that a substantial part of the earnings differences between racial groups cannot be explained by differences in individual characteristics. To take into account the fact that B-O doesn't consider the probability distribution of the individual characteristics, and specifically race in our case, we also use a semi-parametric technique for the estimation of differences in hourly earnings. This estimation treats the typical wage equations in a linear fashion but let estimators for the racial intensity effects to interact freely, without restricting them to a functional form. The results suggests that among wage earners after controlling for a large set of characteristics, there are racially related earnings differences in favor of predominantly White individuals. In the case of the self-employed, none of the empirical distributions of earning differences attributable to race is substantially above zero.
Departamento de Economía
description Our approach to the concept of ethnicity involves the usage of instruments in many of its several dimensions: mother tongue, parental background, religion, migration events and race. In order to approximate what can be called racial differences in a context like the Peruvian in which "racial mixture" is the main characteristic of the population, we use a score-based procedure to capture both the differences and the mixtures. By means of this procedure each individual is assigned intensities by pollsters in each of the four categories that correspond to the most easily recognized distinct racial groups in the Peruvian society: Asiatic, White, Indigenous, and Black. We find that the multidimensional race indicator is correlated with several human capital and physical capital assets, as well as with access to public services. Using Blinder-Oaxaca (B-O) decompositions we find that a substantial part of the earnings differences between racial groups cannot be explained by differences in individual characteristics. To take into account the fact that B-O doesn't consider the probability distribution of the individual characteristics, and specifically race in our case, we also use a semi-parametric technique for the estimation of differences in hourly earnings. This estimation treats the typical wage equations in a linear fashion but let estimators for the racial intensity effects to interact freely, without restricting them to a functional form. The results suggests that among wage earners after controlling for a large set of characteristics, there are racially related earnings differences in favor of predominantly White individuals. In the case of the self-employed, none of the empirical distributions of earning differences attributable to race is substantially above zero.
publishDate 2003
dc.date.none.fl_str_mv 2003-06
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