Economic Journal 128 (614), 2353-2379.
Journal of Human Resources 54 (1) 171-199. Online Appendix.
(with Girum Abebe, Stefano Caria, Marcel Fafchamps, Paolo Falco, and Simon Quinn) New Version, February 2020
Conditionally accepted, Review of Economic Studies.
Coverage: The Guardian.
(with Marcel Fafchamps, Girum Abebe, Simon Quinn, Stefano Caria, Forhad Shilpi, and Paolo Falco)
WORK IN PROGRESS
Urban density and labour markets: Evaluating slum redevelopment in Addis Ababa.
(with Girum Abebe and Gharad Bryan)
All around the world, governments implement policies that influence where people live, particularly in dense urban neighbourhoods. These policies have important implications for the working of labour markets. Urban labour markets provide access to formal jobs without long commutes, access to customers and markets, and access to social networks that support labour markets, particularly in informal economies. Each additional person who lives in the city centre not only gains from these urban labour markets but also contributes to these agglomeration economies, imposing positive externalities on others. But increasing density in informal settlements can also have negative externalities in terms of congestion, health, and poor infrastructure, which could limit the potential of cities to create high productivity formal jobs. Estimating the scope and scale of these externalities is an empirical challenge. The government of Addis Ababa recently announced plans to redevelop large central areas of the city, which will lead to the relocation of 20,000 households out of informal settlements. Building on a sample of 30,000 geo-referenced surveys conducted in Addis before the announcement, we will estimate both the direct effect of being relocated out of a dense city centre, as well as the externalities of the relocations, on labour markets in the surrounding areas. We will draw on a variety of empirical techniques from labour and urban economics to estimate how these spillover effects extend over space.
Cost-effective panel data collection for Kampala
(with Julia Bird, Gharad Bryan, and Astrid Haas)
The urban literature on developing country cities is still growing. One of the major constraints, however, is access to good quality data. Existing data sources are often costly or difficult to get, frequently do not measure prices, are not individual specific, do not allow for tracking of individuals, and are available infrequently and sporadically. As a result of this, predictions about the impacts of projects, such as transportation infrastructure, or policy changes in urban contexts are often based on models that have to infer key prices from location choices and must be calibrated to data that is up to 10 years old. Further, evaluations of projects are not able to make use of modern identification techniques such as synthetic controls which require long panels. In this project we test methods for collecting low-cost, high-frequency panel survey data that improves on existing data sources in three ways: 1) The data will provide information about prices, namely consumer prices, wages, and rents, at the individual and location level; 2) the data will allow for the creation of commuting flows at the individual or group level; 3) the data will allow for tracking of people when they move as well as places over time.
Neighbours and local public goods: Evidence from randomly assigned public housing units in Ethiopia
Private costs and social benefits of workfare: Evidence from urban Ethiopia
(with Girum Abebe and Carolina Mejia-Mantilla)
OUTSIDE OF ECONOMICS
British Journal of Sports Medicine, 2018.
(with Jonathan Ospina Betancurt and Silvia Camporesi)