Impact of migration on employment and wage distribution in Colombia

This document presents empirical evidence to understand the impacts of migration on the labor market in Colombia, through the estimation of a multinomial logit-type model for employment and unconditional quantile regression for the effect on wages with information from 2015 to 2019. For both estimat...

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Bibliographic Details
Authors: Castillo Robayo, Cristian Dario, Prieto, William, Campo Robledo, Jacobo Alberto
Format: article
Status:Published version
Publication Date:2024
Country:México
Institution:UNIVERSIDAD AUTÓNOMA DE BAJA CALIFORNIA
Repository:Estudios Fronterizos
Language:Spanish
OAI Identifier:oai:ojs.localhost:article/1211
Online Access:https://ref.uabc.mx/ojs/index.php/ref/article/view/1211
Access Level:Open access
Keyword:migration
labor market
unconditional quantile regression
difference in differences model
multinomial logit
Economica theory
Methodology
Mathematical economics
Quantitative methods
migración
mercado laboral
regresión cuantílica
modelo diferencia en diferencias
logit multinomial
Teoría económica
Metodología
Economía matemática
Métodos cuantitativos
Description
Summary:This document presents empirical evidence to understand the impacts of migration on the labor market in Colombia, through the estimation of a multinomial logit-type model for employment and unconditional quantile regression for the effect on wages with information from 2015 to 2019. For both estimates, a difference in differences model is used in order to determine the effect of migration. The main conclusion of the study indicates evidence of an effect on the distribution of employment and wages that refer to the most vulnerable groups, with less education and informality, through an increase in competition in the unskilled labor segment. The effect on wages is limited, but more evident in the lowest income quartiles of the income distribution, with a significant drop in job quality with increases in informality.