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Data-driven learning about trend productivity growth

Research output: Working paperAcademic

Abstract

We investigate the causes of changing productivity growth trend perceptions using a novel state-spaceframework for statistically efficient estimation of growth trends in the presence of data revision.Uncertainty around contemporary US productivity growth trends has been exacerbated by data revisionsthat typically occur several years after the initial data release, as well as by publication lags. However,the largest source of revisions in perceived trends comes from future realizations of productivity growth.This underlines the importance of estimation uncertainty in estimates of trend productivity growth.
Original languageEnglish
PublisherCentre for Applied Macroeconomic Analysis, Australian National University
Publication statusPublished - Sept-2025

Publication series

NameCAMA Working Paper
Volume53/2025

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