This site is not fully supported by Internet Explorer. To fully enjoy this website, please use an alternative browser

Publication Information

Human Capital Development: New Evidence on the Production of Socio-Emotional Skills

Using the Young Lives longitudinal panel dataset on youth born in 1994 in Peru, this paper examines the development of cognitive and socio-emotional skills between the ages of 8 and 22.  The authors seek to understand the critical role that human capital development plays in the intergenerational transfer of poverty and inequality.  The authors show that socio-emotional skills can be divided into two distinct domains – social skills and task effectiveness skills.

Human Capital Development: New Evidence on the Production of Socio-Emotional Skills

Using the Young Lives longitudinal panel dataset on youth born in 1994 in Peru, this paper examines the development of cognitive and socio-emotional skills between the ages of 8 and 22.  The authors seek to understand the critical role that human capital development plays in the intergenerational transfer of poverty and inequality.  The authors show that socio-emotional skills can be divided into two distinct domains – social skills and task effectiveness skills.

Publication Information

Young Lives research into Child Marriage influences policy change in Peru
Young Lives research into Child Marriage influences policy change in Peru
March 2024 Newsletter
March 2024 Newsletter
Young Lives at Wilton Park
Young Lives at Wilton Park
Young Lives at the 68th United National Commission on the Status of Women
Young Lives at the 68th United National Commission on the Status of Women
Young Lives at CSAE 2024
Young Lives at CSAE 2024

Publication Information

Download Publication
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

Publication Information

Download Publication

Publication Information

Download Publication
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

Publication Information

Download Publication
Subscribe to