Human capital

This working paper was published in February 2014 by the Centre for the Study of African Economies at the University of Oxford. In the paper, Manski's (1993) standard linear-in-means model is used to estimate endogenous peer effects on the awareness of vulnerable groups on Tanzania Social Action Fund II (TASAFII), i.e. Tanzania's flagship community-driven development programme.

This article measures the positive effect of a social intervention on individual willingness to cooperate and relates cooperation with traditional measures of social capital.

In this paper the authors use a randomised experiment to analyse the impact of a school grants program in Senegal, which decentralised a portion of the country's education budget.

This evaluation report, produced as part of the Oxfam Effectiveness Reviews Series 2013/14, was co-authored by Bet Caeyers of the IFS Centre for the Evaluation of Development Policies.

The authors examine the channels through which a randomized early childhood intervention in Colombia led to significant gains in cognitive and socio-emotional skills among a sample of disadvantaged children.

The paper investigates the short run responsiveness of National Health Service (NHS) nurses’ labour supply to changes in wages of NHS nurses relative to wages in outside options available to nurses, utilising the panel data aspect of the Annual Survey of Hours and Earnings.

Human capital and inequality in the United Kingdom

Many initiatives worldwide aim at improving financial literacy through targeted education programs, yet there is little evidence regarding their effectiveness. The authors examine here the impact of a short financial education program on teenagers in German high schools.

This paper reviews the literature studying econometric methods for the analysis of social networks. It begins by discussing identification of models of social effects using observational and experimental data, before outlining models of network formation. Finally, it discusses how one might collect data on networks, and the measurement error issues caused by sampling of networks, as well as measurement error more broadly.