2022 NBER/CRIW Conference - Call for Papers

March 22, 2021

NBER/CRIW Conference on Technology, Productivity, and Economic Growth
March 17-18, 2022

Abstract submission deadlline:  May 15, 2021 at https://conference.nber.org/confsubmit/backend/cfp?id=CRIWs22

Today’s economy is experiencing an explosion of technological advances that are far beyond what was imaginable even five years ago. This fast pace of innovation is pervasive across industries and countries. Yet aggregate TFP growth has fallen in the US and other advanced economies and business dynamism has slowed, accompanied by an increase in the concentration of economic activity in large, mature firms. Has Robert Solow’s famous productivity paradox returned ­why aren’t we seeing the gains from today’s innovations in our economic statistics? Are there better ways of conceptualizing and modeling technological advances to improve measures of productivity and economic growth? How can we capture rapid innovations in production within official government statistics, and what data do we need to accommodate new approaches? This conference and the resulting volume will try to     answer these and similar questions.
Topics of interest include, but are not limited to:

    - innovation in AI, automation and robotics
    - the diffusion of technology, and whether it has slowed
    - understanding productivity differences among firms­real, measurement, or both?
    - matching skills to technology and the restructuring of work
    - measuring technological change embodied in capital, materials and services
    - international comparisons
    - measuring intangible capital produced within firms and across industries
    - using task data to better understand sources of productivity growth
    - business dynamism
    - technology led structural change in the organization of firms
    - how to aggregate micro productivity into meaningful aggregate measures
    - measuring the digital economy
    - analyzing and improving measures of productivity within official statistics
    - measuring the impact of new technologies on labor

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