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Data Matching: Construction of COVID-19 - related Variables for Young Lives Peru

This Technical Note outlines the COVID-19 matched dataset from the Young Lives cohorts in Peru created by the Young Lives team.  The matched dataset combines COVID-19 administrative data with the extensive longitudinal data set from the Young Lives study in Peru.  The authors document the steps taken to create a set of variables that measure the number of COVID-19 cases, deaths and vaccine doses applied in the districts where Young Lives participants reside, along with the duration of the lockdown periods they endured.  They collected administrative data and integrated it wit

Data Matching: Construction of COVID-19 - related Variables for Young Lives Peru

This Technical Note outlines the COVID-19 matched dataset from the Young Lives cohorts in Peru created by the Young Lives team.  The matched dataset combines COVID-19 administrative data with the extensive longitudinal data set from the Young Lives study in Peru.  The authors document the steps taken to create a set of variables that measure the number of COVID-19 cases, deaths and vaccine doses applied in the districts where Young Lives participants reside, along with the duration of the lockdown periods they endured.  They collected administrative data and integrated it wit

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Identifying Climate Shocks in Young Lives Communities: Estimating Weather Conditions Using a Global Gridded Time Series

A growing body of research examines how climatic variables such as precipitation and temperature and particularly exposure to adverse natural disasters (droughts, floods and storms) in early life can influence later life outcomes.  This Technical Note details the process of selecting, preparing and matching external data for climate variables to the locations of the communities the Young Lives study participants live in.  The authors select specific data on monthly total precipitation and average air temperature, using a global gridded terrestrial time series dataset.  T

Identifying Climate Shocks in Young Lives Communities: Estimating Weather Conditions Using a Global Gridded Time Series

A growing body of research examines how climatic variables such as precipitation and temperature and particularly exposure to adverse natural disasters (droughts, floods and storms) in early life can influence later life outcomes.  This Technical Note details the process of selecting, preparing and matching external data for climate variables to the locations of the communities the Young Lives study participants live in.  The authors select specific data on monthly total precipitation and average air temperature, using a global gridded terrestrial time series dataset.  T

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Skills for Young Lives Podcast
Skills for Young Lives Podcast

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Does Human Capital Influence the Gender Gap in Earnings? Evidence from Four Developing Countries

This paper, published in the CSAE Working Paper Series, WPS/2023-04 investigates the relationship between skills and the gender gap in earnings using Young Lives data from the Older Cohort in Ethiopia, India, Peru and Vietnam. 

Does Human Capital Influence the Gender Gap in Earnings? Evidence from Four Developing Countries

This paper, published in the CSAE Working Paper Series, WPS/2023-04 investigates the relationship between skills and the gender gap in earnings using Young Lives data from the Older Cohort in Ethiopia, India, Peru and Vietnam. 

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Skills for Young Lives Podcast
Skills for Young Lives Podcast
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