November 2020's Review of Development Economics (Volume 24, Issue 4) published a Special Symposium of Young Lives papers (Editor in Chief - Andy McKay).
Papers included 'Understanding teenage fertility in Peru: An analysis using longitudinal data' and 'The role of education during adolescence to mitigate the effects of the early experience of poverty'.
This study aims to document attrition in the YL samples, to identify the correlates of attrition, and to test for attrition bias. The cumulative year-to-year attrition rate is 0.5% and 0.8% for the younger and older cohorts, respectively, among the lowest attrition rates in longitudinal studies in lowand middle-income countries. Attrition rates vary by household wealth, area of residence, and ethnicity/caste across countries. Attrited individuals in Peru are poor and those in other countries are wealthier. When analyzing a set of nutritional and cognitive outcomes, suggestive evidence of attrition bias exists, part of which is driven by child mortality. Even though attrition is very low, our findings highlight the importance of controlling for household socioeconomic characteristics when performing statistical analysis of the YL samples. The study also highlights key insights that can be helpful to reduce attrition or ameliorate its effects in other longitudinal studies.
November 2020's Review of Development Economics (Volume 24, Issue 4) published a Special Symposium of Young Lives papers (Editor in Chief - Andy McKay).
Papers included 'Understanding teenage fertility in Peru: An analysis using longitudinal data' and 'The role of education during adolescence to mitigate the effects of the early experience of poverty'.
This study aims to document attrition in the YL samples, to identify the correlates of attrition, and to test for attrition bias. The cumulative year-to-year attrition rate is 0.5% and 0.8% for the younger and older cohorts, respectively, among the lowest attrition rates in longitudinal studies in lowand middle-income countries. Attrition rates vary by household wealth, area of residence, and ethnicity/caste across countries. Attrited individuals in Peru are poor and those in other countries are wealthier. When analyzing a set of nutritional and cognitive outcomes, suggestive evidence of attrition bias exists, part of which is driven by child mortality. Even though attrition is very low, our findings highlight the importance of controlling for household socioeconomic characteristics when performing statistical analysis of the YL samples. The study also highlights key insights that can be helpful to reduce attrition or ameliorate its effects in other longitudinal studies.