Replication data for: Challenges to Mismeasurement Explanations for the US Productivity Slowdown

Principal Investigator(s): View help for Principal Investigator(s) Chad Syverson

Name	File Type	Size	Last Modified
JEP-Data-Productivity-Slowdown.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	124.9 KB	10/12/2019 02:30:PM
LICENSE.txt	text/plain	14.6 KB	10/12/2019 02:30:PM
data-readme.pdf	application/pdf	9.6 KB	10/12/2019 02:30:PM

Project Citation:

Syverson, Chad. Replication data for: Challenges to Mismeasurement Explanations for the US Productivity Slowdown. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113991V1

Project Description

Summary: The United States has been experiencing a slowdown in measured labor productivity growth since 2004. A number of commentators and researchers have suggested that this slowdown is at least in part illusory because real output data have failed to capture the new and better products of the past decade. I conduct four disparate analyses, each of which offers empirical challenges to this "mismeasurement hypothesis." First, the productivity slowdown has occurred in dozens of countries, and its size is unrelated to measures of the countries' consumption or production intensities of information and communication technologies (ICTs, the type of goods most often cited as sources of mismeasurement). Second, estimates from the existing research literature of the surplus created by internet-linked digital technologies fall far short of the $3 trillion or more of "missing output" resulting from the productivity growth slowdown. Third, if measurement problems were to account for even a modest share of this missing output, the properly measured output and productivity growth rates of industries that produce and service ICTs would have to have been multiples of their measured growth in the data. Fourth, while measured gross domestic income has been on average higher than measured gross domestic product since 2004—perhaps indicating workers are being paid to make products that are given away for free or at highly discounted prices—this trend actually began before the productivity slowdown and moreover reflects unusually high capital income rather than labor income (i.e., profits are unusually high). In combination, these complementary facets of evidence suggest that the reasonable prima facie case for the mismeasurement hypothesis faces real hurdles when confronted with the data.

Scope of Project

Subject Terms: Productivity; GDP; National Income; TFP

JEL Classification:
      C82 Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
      E23 Macroeconomics: Production
      E32 Business Fluctuations; Cycles

Geographic Coverage: OECD, United States

Time Period(s): 1997 – 2017

Data Type(s): aggregate data

Methodology

Data Source: Various

Related Publications

Download this project

Published Versions

V1 [2019-10-12]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as received from the data depositor. As of April 2026, depositors are required to submit study materials in accessible formats. ICPSR has not reviewed, checked, or processed this material. For additional information about the study, please contact the investigator(s) directly. If you have questions about the accessibility of materials distributed by ICPSR or require further assistance, please visit ICPSR's Accessibility Center.