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Title: Improving GDP measurement further: Data revisions with news-noise measurement errors Authors:  Samad Sarferaz - ETH Zurich (Switzerland) [presenting]
Jan Jacobs - University of Groningen (Netherlands)
Jan-Egbert Sturm - ETH Zurich (Switzerland)
Simon van Norden - HEC Montreal (Canada)
Abstract: Recently a new measure of historical U.S. GDP growth (GDPplus) was proposed adopting a measurement-error perspective. By distinguishing news and noise measurements errors and allowing for data revisions, we propose a new measure for U.S. GDP growth and compare its dynamic properties to GDPplus.