Mozambique has achieved remarkable macroeconomic success over recent decades, boasting one of the world's highest rates of GDP growth. However, absolute poverty remains persistent, spilling over into social unrest. To better understand the link between aggregate growth and household welfare,...

Mozambique has achieved remarkable macroeconomic success over recent decades, boasting one of the world’s highest rates of GDP growth. However, absolute poverty remains persistent, spilling over into social unrest. To better understand the link between aggregate growth and household welfare,...

Can digital labour market platforms reduce search frictions in formal or informal labour markets? We study this question using a randomized experiment embedded in a tracer study of the work transitions of graduates from technical and vocational colleges in Mozambique. We implement an...

Can digital labour market platforms reduce search frictions in either formal or informal labour markets? We study this question using a randomized experiment embedded in a tracer study of the work transitions of graduates from technical and vocational colleges in Mozambique. We implement an...

High youth unemployment rates and long school-to-work transition times pose a threat to low-income countries' sustainable growth prospects. Using a randomized control trial experiment conducted in Mozambique, we find strong evidence that providing information on wages and unemployment reduces...

Can digital labour market platforms reduce search frictions in formal or informal labour markets? We study this question using a randomized experiment embedded in a tracer study of the work transitions of graduates from technical and vocational colleges in Mozambique. We implement an...

Digital labour platforms have grown five-fold over the last decade, enabling significant expansion in gig work worldwide. We interrogate the criticism that these platforms tend to amplify aggregate economic shocks for registered users (workers). Based on the universe of records from a matching...