Measuring Productivity: Lessons from Tailored Surveys and Productivity Benchmarking
Author(s)
Atkin, David G
DownloadPublished version (579.7Kb)
Publisher Policy
Publisher Policy
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Terms of use
Metadata
Show full item recordAbstract
We use tailored surveys and benchmarking in the flat-weave rug industry to better understand the shortcomings of standard productivity measures. Quantity-based productivity (TFPQ) performs poorly because of variation in product specifications across firms. Controlling for specifications aligns TFPQ with lab benchmarks. We also collect quality metrics to construct quality productivity (the ability to produce quality given inputs) and find substantial dispersion across firms. This motivates interest in multidimensional productivity, or capability. As quality productivity is negatively correlated with TFPQ, revenue-based productivity (TFPR) may perform better at capturing capabilities in settings where better firms make products with more demanding specifications that have greater input requirements.
Date issued
2019-05Department
Massachusetts Institute of Technology. Department of EconomicsJournal
American Economic Association Papers and Proceedings
Publisher
American Economic Association
Citation
Atkin, David et al. “Measuring Productivity: Lessons from Tailored Surveys and Productivity Benchmarking.” American Economic Association Papers and Proceedings, 109 (May 2019): 444-449 © 2019 The Author(s)
Version: Final published version
ISSN
0002-8282