Measuring Productivity: All Models Are Wrong, But Some Are Useful
Measuring productivity is equivalent to building a model. All models are wrong, but some are useful. Productivity models are often “worryingly selective” (wrong because of omissions). Worrying selectivity can be combated by taking a holistic approach that includes multiple measurements of multiple outcomes. Productivity models should include multiple outcomes, metrics, and methods.
Authors
- Ciera Jaspan (ORCID: https://orcid.org/0000-0003-4500-1392)
- Collin Green (ORCID: https://orcid.org/0000-0003-1307-3869)
Institutions
- Google (United States) (US)
Publication Details
- Journal
- IEEE Software
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ms.2024.3511735
- Citations
- 1
- Primary Topic
- Firm Innovation and Growth
- Type
- article
- Field-Weighted Citation Impact
- 3.13