“Correcting for Sample Bias with Application to the Case of Senegal”

This Methodological Note was written by Emmanuel Letouzé, Gabriel Pestre, and Emilio Zagheni. Funding for this paper was generously provided by the World Bank Group. Data-Pop Alliance is currently developing this note as one of the three inputs for the World Bank’s 2016 World Development Report: “Digital Dividends” (forthcoming). This paper works on modelling and correcting sample bias in Call Detail Records … Read More