Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We use worker-level data on the task content of jobs to measure the ability to work-from-home (WFH) in developing countries. We show that the ability to WFH is low in developing countries and document significant heterogeneity across and within occupations, and across worker characteristics. Our measure suggests that educated workers, wage employees and women have a higher ability to WFH. Using data from Brazil, Costa Rica and Peru, we show that our measure is predictive of actual WFH both in terms of overall levels and variation with occupation and individual characteristics, as well as employment outcomes. Our measure can thus be used to predict WFH outcomes in developing countries.