NBER paper: rising cognitive skill productivity explains US within-occupation wage inequality
soumitrashukla9 · x · 2026-09-27
Chris Edmond and Simon Mongey (Minneapolis Fed/NBER) published "Unbundling Labor" with an interactive web version; a Twitter thread on the empirics is promised next week.
- Question: Why has within-occupation wage inequality risen in the US, concentrated in cognitive-intensive jobs while falling in manual ones?
- Model: A general equilibrium framework where workers supply multiple skills as indivisible bundles, so the same skill is priced differently across occupations.
- Findings: Skill prices—not worker composition—explain why inequality is higher in cognitive-intensive occupations, accounting for about a third of the rise from 1980–2010.
- Implication: A uniform productivity boost to cognitive skill raises inequality in cognitive jobs and lowers it in manual ones, matching the data.
A quantitative framework relevant to debates on AI's labor-market impact.
More from AGI Musings
- Are frontier models' inner optimizers obsolete? CoT as goal-directed search sparks alignment debate — xuanalogue · 2026-09-27
- Full video: DHH's Rails World 2026 talk roasting AI doomers — rohanpaul_ai · 2026-09-27
- DHH roasts frontier-lab doomer class at Rails World 2026: more P-Bloom, less P-Doom — rohanpaul_ai · 2026-09-27
- Why mesa-optimization fell out of favor: goal misgeneralization is more precise — xuanalogue · 2026-09-27
- AI safety folks debate whether mesa-optimization is still the right risk-communication concept — xuanalogue · 2026-09-27
- Grinding LeetCode today is like cramming for the 1910 imperial exam, says ex-Tesla AI lead — henloitsjoyce · 2026-09-27