• Twitter
  • Search
e-axes

360° Econ View

The issues, the debates, and the research

  • Home
  • Useful Data
  • About
  • Contact
  • Home
  • Useful Data
  • About
  • Contact

Tech

Innovation, technology diffusion, and jobs

Posted by e-axes on July 16, 2024

Read Next →

Tech

The AI Productivity Puzzle: What Corporate Executives Are Saying

Tech

Can AI Risks Be Insured?

Tech

If AI Is a Bubble, Who Goes Down With It?

Diffusion of new technologies and job creation

In this paper, Kalyani et al. investigate the diffusion of new technologies and job creation using a comprehensive textual analysis of patents, job postings, and earnings calls. In particular, the authors employ a novel methodology to identify phrases associated with new technologies through textual analysis of a) millions of patents filed between 1976 and 2014; b) 51 million job postings from 2010 to 2019; and c) hundreds of thousands of earnings conference calls from 2002 to 2019. This approach allows the authors to understand which new technologies affect jobs and businesses and to trace their diffusion across regions, industries, occupations, and firms. Their findings include:

  • The development of economically impactful new technologies is highly geographically concentrated. Specifically, 56% of the most economically impactful technologies originate from just two U.S. locations: Silicon Valley and the Northeast Corridor (including New York, Boston, Washington D.C., and Philadelphia).
  • As technologies mature, the number of related jobs grows and spreads geographically. However, this process is very slow, taking around 50 years to fully disperse across regions.
  • The coefficient of variation of job shares across U.S. core-based statistical areas (CBSAs) falls by 18.5% in the first decade after a technology’s emergence, but full dispersion takes much longer.
  • Initial hiring for new technologies is highly skill-biased, with 57.1% of early jobs requiring a college degree. This is significantly higher than the general workforce’s educational attainment.
  • Over time, the mean skill level required for jobs associated with new technologies declines, broadening the range of workers who can fill these positions. Thirty years after a technology’s emergence, about 50.2% of related job postings still require a college degree.
  • The spread of low-skill jobs associated with new technologies occurs faster than high-skill jobs. High-skill jobs tend to remain concentrated in the pioneer locations for decades.
  • Pioneer locations retain a long-term advantage in high-skill job postings related to new technologies. This advantage persists for about four decades after the technology’s emergence.
  • The persistence of this advantage is driven by the concentration of research, development, and production activities in these pioneer locations, while lower-skill jobs related to technology use spread more widely.


The Diffusion of New Technologies
Authors: Aakash Kalyani, Nicholas Bloom, Marcela Carvalho, Tarek Hassan, Josh Lerner, Ahmed Tahoun
From: Federal Reserve Bank of St. Louis, Stanford University, Harvard University, Boston University, London Business School

The importance of inventors’ mobility to innovation

In this paper, Brit Sharoni investigates the impact of an inventor’s relocation on the productivity of their former collaborators. The author uses a dataset that includes longitudinal data on approximately 300,000 inventors in the United States from 1990 to 2022, identifying 49,902 inventors who relocated during this period, and combines this data with information from the US Patent and Trademark Office. He uses a difference-in-difference design to isolate the effect of the co-inventor’s relocation from other factors that might influence productivity. Sharoni’s findings are surprising:

  • The relocation of an inventor has a sizeable positive effect on the productivity of their former collaborators who remain in the original location.
  • This positive impact is observed both in terms of the quantity (number of patents) and quality (number of citations) of patents produced by the stayers.
  • The core mechanism driving this positive effect is identified as greater access to novel information and new networks. When an inventor moves, they can serve as a bridge between disconnected innovation hubs, facilitating information flows and idea diffusion. Stayers also expand their co-inventor network into the mover’s destination location relative to the control group.

The paper concludes that under certain conditions, an inventor’s relocation can lead to significant spillover effects on their former collaborators, fostering innovation and productivity through enhanced information flows and network expansion.
The Effect of Inventor Mobility on Network Productivity
Author: Brit Sharoni
From: Harvard University

Print Friendly, PDF & Email

e-axes

Read Next →

Tech

The AI Productivity Puzzle: What Corporate Executives Are Saying

Tech

Can AI Risks Be Insured?

Tech

If AI Is a Bubble, Who Goes Down With It?

Comments are Closed

Account

  • Login

Subscriptions

You are not logged in.
Login
Subscribe

Subscriptions

Subscribe

Most Read

  • Bank Heterogeneity and the Transmission of Monetary Tightening
  • AI Valuations, Capital Investment, and Growth
  • New and Noteworthy Books in Economics (September)
  • AI and the Natural Rate: Puzzle or Policy Challenge?
  • Communicating Uncertainty: Fan Charts, Confidence, and Credibility
  • Macroeconomic Risk: From Scenario Synthesis to Distributional Transmission
  • How Firms’ Cost Expectations Shape Prices
  • Transfers, Taxes, and the Ricardian Equivalence
  • Can Institutions Limit the Economic Damage of Populism?
  • Asia’s Expanding Non-Dollar Payment Networks

Sections

  • AI
  • Banking
  • Books
  • Brexit
  • CBDC
  • China
  • Climate
  • COVID-19
  • Crypto
  • Demographics
  • Economic Growth
  • Economic Science
  • Economics of Information
  • Emerging Markets
  • Eurozone
  • Financial Markets
  • Geoeconomics
  • Geopolitics
  • India
  • Inequality
  • Inflation
  • International Economics
  • Macro
  • Markets
  • Monetary Policy
  • Oil
  • Politics & Economics
  • Taxation
  • Tech
  • Trade
  • U.S.
  • Ukraine-Russia War
  • Uncategorized
  • Useful Data

© 2026 e-axes

  • Privacy Policy & Terms of Service

Theme by Anders Norén

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish.
Cookie settingsAccept
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are as essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
SAVE & ACCEPT