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IFS-STICERD Public Economics Seminar

The Diffusion of Disruptive Technologies

Nicholas Bloom (Stanford University and CEP, LSE)

Wednesday 17 May 2023 12:30 - 13:45

Many of our seminars and public events this year will continue as in person or as hybrid (online and in person) events. Please check our website listings and Twitter feed @STICERD_LSE for updates.

Unless otherwise specified, in-person seminars are open to the public.

Those unable to join the seminars in-person are welcome to participate via zoom if the event is hybrid.


About this event

We identify novel technologies using textual analysis of patents, job postings, and earnings calls. Our approach enables us to identify and document the diffusion of 29 disruptive technologies across firms and labor markets in the U.S. Five stylized facts emerge from our data. First, the locations where technologies are developed that later disrupt businesses are geographically highly concentrated, even more so than overall patenting. Second, as the technologies mature and the number of new jobs related to them grows, they gradually spread geographically. While initial hiring is concentrated in high-skilled jobs, over time the mean skill level in new positions associated with the technologies declines, broadening the types of jobs that adopt a given technology. At the same time, the geographic diffusion of low-skilled positions is significantly faster than higher-skilled ones, so that the locations where initial discoveries were made retain their leading positions among high-paying positions for decades. Finally, these pioneer locations are more likely to arise in areas with universities and high skilled labor pools.

This seminar series is jointly organized by the IFS and STICERD.

IFS-STICERD Public Economics seminars are held on Wednesdays in term time at 12.30-13.45 IN PERSON at the IFS.

Seminar organisers: Stuart Adam (IFS), Monica Costa Dias (IFS), Xavier Jaravel (LSE), Camille Landais (LSE), Attila Lindner (UCL), Joana Naritomi (LSE), and Johannes Spinnewijn (LSE).

For further information please contact Sadia Ali: s.ali43@lse.ac.uk.

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