The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approach
- Autores
- Ñopo, Hugo
- Año de publicación
- 2004
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Applying the methodology developed in Ñopo (2004), I analyze the evolution of the gender wage gap in Peru from 1986 to 2000. The advantage of such methodology is two-fold. First, it recognizes that the supports of observable characteristics distributions differ substantially. Second, it provides deeper insights regarding the distribution of the unexplained gender differences in earnings. For the period under analysis, males earn on average 45% more than females. This wage gap is composed of three additive elements: 11% differences in supports, 6% differences in distributions of individual characteristics and 28% unexplainable differences. About half of these unexplainable differences occur in the highest quintile of the wage distribution.
Instituto de Investigaciones Económicas - Materia
-
Ciencias Económicas
diferencias salariales
Perú
mercado laboral
JEL: C14, D31, J16, O54
salario
discriminación sexual - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-nd/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9208
Ver los metadatos del registro completo
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The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approachÑopo, HugoCiencias Económicasdiferencias salarialesPerúmercado laboralJEL: C14, D31, J16, O54salariodiscriminación sexualApplying the methodology developed in Ñopo (2004), I analyze the evolution of the gender wage gap in Peru from 1986 to 2000. The advantage of such methodology is two-fold. First, it recognizes that the supports of observable characteristics distributions differ substantially. Second, it provides deeper insights regarding the distribution of the unexplained gender differences in earnings. For the period under analysis, males earn on average 45% more than females. This wage gap is composed of three additive elements: 11% differences in supports, 6% differences in distributions of individual characteristics and 28% unexplainable differences. About half of these unexplainable differences occur in the highest quintile of the wage distribution.Instituto de Investigaciones Económicas2004-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf9-37http://sedici.unlp.edu.ar/handle/10915/9208enginfo:eu-repo/semantics/altIdentifier/issn/0013-0419info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/3.0/Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:32:12Zoai:sedici.unlp.edu.ar:10915/9208Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:32:12.324SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approach |
| title |
The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approach |
| spellingShingle |
The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approach Ñopo, Hugo Ciencias Económicas diferencias salariales Perú mercado laboral JEL: C14, D31, J16, O54 salario discriminación sexual |
| title_short |
The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approach |
| title_full |
The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approach |
| title_fullStr |
The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approach |
| title_full_unstemmed |
The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approach |
| title_sort |
The gender wage gap in Peru 1986-2000: evidence from a matching comparisons approach |
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Ñopo, Hugo |
| author |
Ñopo, Hugo |
| author_facet |
Ñopo, Hugo |
| author_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Económicas diferencias salariales Perú mercado laboral JEL: C14, D31, J16, O54 salario discriminación sexual |
| topic |
Ciencias Económicas diferencias salariales Perú mercado laboral JEL: C14, D31, J16, O54 salario discriminación sexual |
| dc.description.none.fl_txt_mv |
Applying the methodology developed in Ñopo (2004), I analyze the evolution of the gender wage gap in Peru from 1986 to 2000. The advantage of such methodology is two-fold. First, it recognizes that the supports of observable characteristics distributions differ substantially. Second, it provides deeper insights regarding the distribution of the unexplained gender differences in earnings. For the period under analysis, males earn on average 45% more than females. This wage gap is composed of three additive elements: 11% differences in supports, 6% differences in distributions of individual characteristics and 28% unexplainable differences. About half of these unexplainable differences occur in the highest quintile of the wage distribution. Instituto de Investigaciones Económicas |
| description |
Applying the methodology developed in Ñopo (2004), I analyze the evolution of the gender wage gap in Peru from 1986 to 2000. The advantage of such methodology is two-fold. First, it recognizes that the supports of observable characteristics distributions differ substantially. Second, it provides deeper insights regarding the distribution of the unexplained gender differences in earnings. For the period under analysis, males earn on average 45% more than females. This wage gap is composed of three additive elements: 11% differences in supports, 6% differences in distributions of individual characteristics and 28% unexplainable differences. About half of these unexplainable differences occur in the highest quintile of the wage distribution. |
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2004 |
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2004-12 |
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