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Child labor in Colombia: factors affecting the selection of economic activity
Author(s) -
Josefá Ramoni Perazzi,
Giampaolo Orlandoni Merli,
Laura Castillo-Paredes,
Jesús Alberto Peña Guillén
Publication year - 2021
Publication title -
revista de economía del rosario/revista de economia del rosario
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.106
H-Index - 6
eISSN - 2145-454X
pISSN - 0123-5362
DOI - 10.12804/revistas.urosario.edu.co/economia/a.9086
Subject(s) - multinomial logistic regression , selection (genetic algorithm) , descriptive statistics , work (physics) , logit , logistic regression , econometrics , economics , demographic economics , statistics , computer science , mathematics , engineering , mechanical engineering , artificial intelligence
The aim of this research was to determine whether child labor in Colombia’s urban areas shows specific characteristics and backgrounds once it is divided by economic activity. The descriptive analysis was based on basic statistics and multiple correspondence analysis, and the probability of working was modeled through a logit model. Finally, a multinomial logit model was applied to consider the six most common economic activity sectors these children work at. The evidence suggests that the probability of a particular type of work is affected by personal characteristics and lifestyles.

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