Logo image
REVISIONS IN UTILIZATION-ADJUSTED TFP AND ROBUST IDENTIFICATION OF NEWS SHOCKS
Journal article   Open access   Peer reviewed

REVISIONS IN UTILIZATION-ADJUSTED TFP AND ROBUST IDENTIFICATION OF NEWS SHOCKS

Andre Kurmann and Eric Sims
The review of economics and statistics, v 103(2)
01 May 2021
url
https://doi.org/10.1162/rest_a_00896View
Published, Version of Record (VoR) Open Maybe Open Access (Publisher Bronze)

Abstract

Business & Economics Economics Mathematical Methods In Social Sciences Social Sciences Social Sciences, Mathematical Methods
This paper documents large revisions in a widely used series of utilization-adjusted total factor productivity (TFP) by Fernald (2014) and shows that these revisions can materially affect empirical results about the effects of news shocks. We trace these revisions to changes in estimated factor utilization that are evocative of cyclical measurement issues with productivity. We propose an alternative identification that is robust to these measurement issues. Applied to U.S. data, the shock predicts delayed productivity growth while simultaneously generating strong responses of novel indicators of technological innovation and forward-looking variables. The shock does not lead to comovement in macroeconomic aggregates.

Metrics

28 Record Views
30 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#8 Decent Work and Economic Growth
#17 Partnerships for the Goals

Source: SDGs in the Output

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Economics
Social Sciences, Mathematical Methods
Logo image