The Gender Wage Gap in Peru 1986-2000: Evidence from a Matching Comparisons Approach
Open accessAbstract
Applying the methodology developed in Ñopo (2004), this paper analyzes the evolution of the gender wage gap in Peru from 1986 to 2000. This methodology has two advantages. 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 percent more than females. This wage gap is composed of three additive elements: 11 percent differences in supports, 6 percent differences in distributions of individual characteristics and 28 percent unexplainable differences. About half of these unexplainable differences occur in the highest quintile of the wage distribution.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Ñopo (2009) was the most recent study about the evolution of the Peruvian gender wage gap and comprised a period between 1980 and 2000.
“To the best of our knowledge, Ñopo (2009) was the most recent study about the evolution of the Peruvian gender wage gap and comprised a period between 1980 and 2000.”
From The Gender Wage Gap in Peru: Drivers, Evolution, and Heterogeneities (2022) · cites this paper as Ñopo (2009)
The Summary says Ñopo analyzes the evolution of Peru’s gender wage gap, but specifies 1986–2000, not 1980–2000. The claim that it was the most recent study is the citing authors’ own qualification, not a finding attributed to Ñopo. (LLM, conf=0.90)
Experimental — accuracy not yet measuredEl nivel educativo alcanzado por las mujeres, es decir, el aumento en las dotaciones de capital humano, es una de las características que más ayuda a cerrar la brecha existente.
“En línea con Ñopo (2009Ñopo ( ) y Montes (2007)), se encuentra que el nivel educativo que alcanzaron las mujeres, es decir, el aumento en las dotaciones de capital humano, es una de las características que más ayuda a cerrar la brecha existente.”
From Changes in Peru's Gender Earning Gap: An Analysis from 1997 to 2021 (2023) · cites this paper as Ñopo (2009
In the section containing Figure 1, Ñopo reports that gender differences in observable characteristics, including education, narrowed during the period studied. But the discussion of Figure 6 says the wage gap varies nonmonotonically with education; the paper does not establish that women’s educational attainment is one of the characteristics that most helps close the wage gap. Page numbers are unavailable in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measuredÑopo (2009) found an unexplained gender wage gap of 28% for the period between 1986 and 2000.
“For example, Ñopo (2009) found an unexplained gender wage gap of 28% for the period between 1986 and 2000.”
From The Gender Wage Gap in Peru: Drivers, Evolution, and Heterogeneities (2022) · cites this paper as Ñopo (2009)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 2
- Blinder, A. (1973), "Wage Discrimination: Reduced Form and Structural Estimates." The Journal of Human Resources, VII, 4, pp. 436-55.
- Oaxaca, R. (1973), Male-Female Wage Differentials in Urban Labor Market. International Economic Review, Vol.14, No.3, 693-709.
Cited by
Sorted by citations
The Gender Wage Gap in Peru: Drivers, Evolution, and Heterogeneities
Vaccaro, G., Basurto, M. P., Beltrán, A., & Montoya, M. (2022) · Social Inclusion · doi:10.17645/si.v10i1.4757 · Cited by 17 · see citing works
Changes in Peru's Gender Earning Gap: An Analysis from 1997 to 2021
Chalup, M., Urquidi, M., & Serrate, L. (2023) · doi:10.18235/0005248 · Cited by 2 · see citing works
- Authors
- Ñopo, H. R.
- Affiliations
- Inter-American Development Bank (US)
- Corresponding author
- Ñopo, Hugo R.
- ORCID
- Ñopo, Hugo R.
- Publisher
- Inter-American Development Bank
- Published
- 2009-03-27
- Volume
- 50
- Issue
- 1
- Pages
- 9-37
- OpenAlex
- W2117132614
- Cited by
- 21
- References
- 0
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 1 · 2016: 1 · 2015: 1 · 2014: 4
- Type
- report
- Language
- en
- Open access
- gold
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Económica (publishedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
- Americanae (AECID Library) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Econstor (Econstor) (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Gender Studies › Gender, Labor, and Family Dynamics
- Social Sciences › Gender Studies › Labour Market and Migration
- Keywords
- gender pay gap, earnings differentials, women's wages, wage distribution, Peru, wage inequality
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review