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.

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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
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article

Measuring Productivity: All Models Are Wrong, But Some Are Useful

Ciera Jaspan, Collin Green
1 citations
IEEE Software
Firm Innovation and Growth
3.13
article

Measuring Productivity: All Models Are Wrong, But Some Are Useful

Ciera Jaspan, Collin Green
article en
1 citations

Abstract

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.

IEEE SoftwareVol. 42(2)
Google (United States) (US)
Decent work and economic growth
Openalex Percentile: Top 10%
Firm Innovation and Growth
3.13
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Measuring Productivity: All Models Are Wrong, But Some Are Useful — Ciera Jaspan, Collin Green · IEEE Software (2025) | TGRS Research Map | TGRS