Teresa Farinha (United Nations University—MERIT) will present an online talk within the seminar “Analysis of Complex Systems” on Friday, October 23, 2020 via Zoom. If you would like to attend, please email firstname.lastname@example.org
Title: Impacts from automation diffuse locally—a novel approach to estimate jobs risk in US cities
Workers that become automated may transfer productivity gains to their co-workers or make it easier to automate their jobs too. In this paper, Teresa Farinha empirically investigates how automatable jobs have diffused impacts to neighbouring jobs in North American cities between 2007 and 2016.
Results indicate that jobs that share similarities with neighbouring high-risk jobs grew less, even when controlling for their own technical risk of automation. Conversely, jobs that share complementarities with neighbouring high-risk jobs grew faster, possibly indicating productivity gains from working with recently automated jobs. In addition to the analysis in this paper, Teresa provides an adjusted index of job automation risk that accounts for local diffusion of impacts (negative and positive) in US cities.
The paper “Impacts from automation diffuse locally – a novel approach to estimate jobs risk in US cities” can be found here.