Understanding teenage fertility in Peru: An analysis using longitudinal data

Reducing the prevalence of teenage pregnancy remains an elusive goal for public policy in Peru. We use longitudinal data from the Young Lives Study in Peru to investigate on an extensive set of early circumstances and life changes that might be the risk factors for teenage childbearing—about one out...

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Main Authors: Favara, M, Sanchez, A, Lavado, P
Format: Journal article
Language:English
Published: Wiley 2020
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author Favara, M
Sanchez, A
Lavado, P
author_facet Favara, M
Sanchez, A
Lavado, P
author_sort Favara, M
collection OXFORD
description Reducing the prevalence of teenage pregnancy remains an elusive goal for public policy in Peru. We use longitudinal data from the Young Lives Study in Peru to investigate on an extensive set of early circumstances and life changes that might be the risk factors for teenage childbearing—about one out of five girls in the sample was a teenage mother. The use of longitudinal data allows us to reduce the methodological concerns common to this type of analysis. According to our results, growing up in a poor household, being raised in a single‐parent household, leaving school at or before age 15, performing badly in school at age 12, and having the first sexual relation at or under age 16 are the key risk factors for early childbearing. From a time‐varying perspective, we uncover the importance of changes in the characteristics of a child and household that occurred prior to childbearing. Among other factors, we find that improvements in self‐efficacy and education aspirations during adolescence are associated with a decrease in the probability of early childbearing. Risk factors identified are considerably more relevant—in most cases, only relevant—for girls. From a policy perspective, our results suggest that initiatives aimed at improving school attendance, sexual education, and socioemotional competencies among adolescents might be effective tools to reduce the high rates of teenage pregnancy in Peru.
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spelling oxford-uuid:66ac4944-5e52-4bc1-8984-d6c170d8e61c2022-03-26T18:33:32ZUnderstanding teenage fertility in Peru: An analysis using longitudinal dataJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:66ac4944-5e52-4bc1-8984-d6c170d8e61cEnglishSymplectic Elements at OxfordWiley2020Favara, MSanchez, ALavado, PReducing the prevalence of teenage pregnancy remains an elusive goal for public policy in Peru. We use longitudinal data from the Young Lives Study in Peru to investigate on an extensive set of early circumstances and life changes that might be the risk factors for teenage childbearing—about one out of five girls in the sample was a teenage mother. The use of longitudinal data allows us to reduce the methodological concerns common to this type of analysis. According to our results, growing up in a poor household, being raised in a single‐parent household, leaving school at or before age 15, performing badly in school at age 12, and having the first sexual relation at or under age 16 are the key risk factors for early childbearing. From a time‐varying perspective, we uncover the importance of changes in the characteristics of a child and household that occurred prior to childbearing. Among other factors, we find that improvements in self‐efficacy and education aspirations during adolescence are associated with a decrease in the probability of early childbearing. Risk factors identified are considerably more relevant—in most cases, only relevant—for girls. From a policy perspective, our results suggest that initiatives aimed at improving school attendance, sexual education, and socioemotional competencies among adolescents might be effective tools to reduce the high rates of teenage pregnancy in Peru.
spellingShingle Favara, M
Sanchez, A
Lavado, P
Understanding teenage fertility in Peru: An analysis using longitudinal data
title Understanding teenage fertility in Peru: An analysis using longitudinal data
title_full Understanding teenage fertility in Peru: An analysis using longitudinal data
title_fullStr Understanding teenage fertility in Peru: An analysis using longitudinal data
title_full_unstemmed Understanding teenage fertility in Peru: An analysis using longitudinal data
title_short Understanding teenage fertility in Peru: An analysis using longitudinal data
title_sort understanding teenage fertility in peru an analysis using longitudinal data
work_keys_str_mv AT favaram understandingteenagefertilityinperuananalysisusinglongitudinaldata
AT sancheza understandingteenagefertilityinperuananalysisusinglongitudinaldata
AT lavadop understandingteenagefertilityinperuananalysisusinglongitudinaldata