Wage Inequality in Latin America: Learning from Matched Employer-Employee Data

Inequality in Latin America fell substantially in the early 2000s. In this paper, we take advantage of administrative matched employee-employed data in Brazil, Chile and Ecuador to examine whether these inequality trends held in the formal sector, as well. We document a significant decrease in the log variance of earnings in Brazil and Ecuador in the early 2000s, whereas inequality in Chile between 2008 and 2015 remained largely flat. In this context, we find that inequality among salaried workers is largely a between-firm phenomenon across these three countries. We expand on our descriptive analysis and estimate an additive worker and firm fixed effects model to understand the driving factors behind inequality in the region. We find a significant decline in between-firm inequality in Brazil and a modest one in Chile. We last focus our attention on the commodities and manufacturing sectors, which were directly exposed to two large external shocks, the commodity-boom and the ''China Shock". We find an increase in inequality in the former sector accompanied by an reduction in inequality in the latter across the region.

Saved in:
Bibliographic Details
Main Author: Inter-American Development Bank
Other Authors: Ercio Muñoz
Language:English
Published: Inter-American Development Bank
Subjects:Income Equality, Workforce and Employment, Wage, E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity, D22 - Firm Behavior: Empirical Analysis, J08 - Labor Economics Policies, J31 - Wage Level and Structure • Wage Differentials, Wage inequality; Matched Employer-Employee Data; Firms,
Online Access:http://dx.doi.org/10.18235/0001727
https://publications.iadb.org/en/wage-inequality-latin-america-learning-matched-employer-employee-data
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-bid-node-19076
record_format koha
spelling dig-bid-node-190762020-07-01T19:40:10ZWage Inequality in Latin America: Learning from Matched Employer-Employee Data 2018-08-29T00:00:00+0000 http://dx.doi.org/10.18235/0001727 https://publications.iadb.org/en/wage-inequality-latin-america-learning-matched-employer-employee-data Inter-American Development Bank Income Equality Workforce and Employment Wage E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity D22 - Firm Behavior: Empirical Analysis J08 - Labor Economics Policies J31 - Wage Level and Structure • Wage Differentials Wage inequality; Matched Employer-Employee Data; Firms Inequality in Latin America fell substantially in the early 2000s. In this paper, we take advantage of administrative matched employee-employed data in Brazil, Chile and Ecuador to examine whether these inequality trends held in the formal sector, as well. We document a significant decrease in the log variance of earnings in Brazil and Ecuador in the early 2000s, whereas inequality in Chile between 2008 and 2015 remained largely flat. In this context, we find that inequality among salaried workers is largely a between-firm phenomenon across these three countries. We expand on our descriptive analysis and estimate an additive worker and firm fixed effects model to understand the driving factors behind inequality in the region. We find a significant decline in between-firm inequality in Brazil and a modest one in Chile. We last focus our attention on the commodities and manufacturing sectors, which were directly exposed to two large external shocks, the commodity-boom and the ''China Shock". We find an increase in inequality in the former sector accompanied by an reduction in inequality in the latter across the region. Inter-American Development Bank Ercio Muñoz Graciana Rucci Fernando Saltiel Sergio Urzúa application/pdf IDB Publications Brazil Chile Ecuador Latin America en
institution BID
collection DSpace
country Estados Unidos
countrycode US
component Bibliográfico
access En linea
databasecode dig-bid
tag biblioteca
region America del Norte
libraryname Biblioteca Felipe Herrera del BID
language English
topic Income Equality
Workforce and Employment
Wage
E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity
D22 - Firm Behavior: Empirical Analysis
J08 - Labor Economics Policies
J31 - Wage Level and Structure • Wage Differentials
Wage inequality; Matched Employer-Employee Data; Firms
Income Equality
Workforce and Employment
Wage
E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity
D22 - Firm Behavior: Empirical Analysis
J08 - Labor Economics Policies
J31 - Wage Level and Structure • Wage Differentials
Wage inequality; Matched Employer-Employee Data; Firms
spellingShingle Income Equality
Workforce and Employment
Wage
E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity
D22 - Firm Behavior: Empirical Analysis
J08 - Labor Economics Policies
J31 - Wage Level and Structure • Wage Differentials
Wage inequality; Matched Employer-Employee Data; Firms
Income Equality
Workforce and Employment
Wage
E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity
D22 - Firm Behavior: Empirical Analysis
J08 - Labor Economics Policies
J31 - Wage Level and Structure • Wage Differentials
Wage inequality; Matched Employer-Employee Data; Firms
Inter-American Development Bank
Wage Inequality in Latin America: Learning from Matched Employer-Employee Data
description Inequality in Latin America fell substantially in the early 2000s. In this paper, we take advantage of administrative matched employee-employed data in Brazil, Chile and Ecuador to examine whether these inequality trends held in the formal sector, as well. We document a significant decrease in the log variance of earnings in Brazil and Ecuador in the early 2000s, whereas inequality in Chile between 2008 and 2015 remained largely flat. In this context, we find that inequality among salaried workers is largely a between-firm phenomenon across these three countries. We expand on our descriptive analysis and estimate an additive worker and firm fixed effects model to understand the driving factors behind inequality in the region. We find a significant decline in between-firm inequality in Brazil and a modest one in Chile. We last focus our attention on the commodities and manufacturing sectors, which were directly exposed to two large external shocks, the commodity-boom and the ''China Shock". We find an increase in inequality in the former sector accompanied by an reduction in inequality in the latter across the region.
author2 Ercio Muñoz
author_facet Ercio Muñoz
Inter-American Development Bank
topic_facet Income Equality
Workforce and Employment
Wage
E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity
D22 - Firm Behavior: Empirical Analysis
J08 - Labor Economics Policies
J31 - Wage Level and Structure • Wage Differentials
Wage inequality; Matched Employer-Employee Data; Firms
author Inter-American Development Bank
author_sort Inter-American Development Bank
title Wage Inequality in Latin America: Learning from Matched Employer-Employee Data
title_short Wage Inequality in Latin America: Learning from Matched Employer-Employee Data
title_full Wage Inequality in Latin America: Learning from Matched Employer-Employee Data
title_fullStr Wage Inequality in Latin America: Learning from Matched Employer-Employee Data
title_full_unstemmed Wage Inequality in Latin America: Learning from Matched Employer-Employee Data
title_sort wage inequality in latin america: learning from matched employer-employee data
publisher Inter-American Development Bank
url http://dx.doi.org/10.18235/0001727
https://publications.iadb.org/en/wage-inequality-latin-america-learning-matched-employer-employee-data
work_keys_str_mv AT interamericandevelopmentbank wageinequalityinlatinamericalearningfrommatchedemployeremployeedata
_version_ 1806237562753253376