As a result of this project the Ghanaian 2014 Integrated Business Establishment Survey (IBES) firm census microdata has been made publicly available through DataFirst, a microdata repository at the University of Cape Town.
This project will construct a database of the energy use of manufacturing enterprises in Dhaka to identify firm growth and economic outcomes over time and space.
This project will build a unique panel dataset of the universe of formal Senegalese firms from 2007 to 2020 before evaluating the impact of the recent increase in the national minimum wage.
This project creates a novel dataset matching employers and employees in Senegal to explore determinants of productivity and how it varies between industries and regions, sorting between workers and firms, and how firm productivity and other factors determine wage gaps.
A burgeoning literature in economics uses firm census data to provide explanations for the very large differences in income per capita across countries.
In this project, Grant, Grossman and Startz will collect, analyse, and make available to other researchers data that traces the distribution of manufactured consumer goods in Nigeria.
This project aims to bring a firm-level dataset collected by the Central Statistical Office (CSO) in Swaziland to the broader research domain, to standardize the data series over time and provide documentation to allow for the use of this data by a larger community of researchers.
This project aims to bring micro-data collected by statistical agencies in Ghana and Swaziland into the research domain, to standardise the data series over time and to provide supporting documentation to allow for the use of this data by the broader research community.
This project examines price-setting behavior in Lesotho to understand pricing and market segmentation in low-income countries characterized by frictions preventing price arbitrage, such as weak infrastructure, poor distribution networks, and 'thin' markets.
