How Uber's team of economists tests new features and incentives, writes highly-cited academic papers, and provides talking points for public policy initiatives
It's hard to explain just how much economists love Uber. — Economists love Uber like a mother loves her child. Tweets: @jedkolko Tweets: Jed Kolko / @jedkolko : Sharp piece on the benefits, challenges, and dramas of economists working at tech firms. “Uber's secret weapon is its team of economists” http://qz.com/... via @qz
Context & Ripple Effects
Uber's use of social science on its workforce is not new: a 2017 investigation detailed how the company deploys behavioral science, gamification, and well-timed messages to steer driver behavior. The Quartz piece adds the layer above that machinery — an in-house economics team that runs the experiments, publishes the results as highly-cited academic papers, and converts them into talking points for policy fights.
That matters because drivers have their own information network: they compare notes and push back at employers through online forums. And the stakes of getting incentives right show up directly in market outcomes — Uber's later app revamp widened its US share lead over Lyft from 62% to 74% per YipitData.
First-order effects
- Uber's drivers experience pay incentives and feature changes as subjects of in-house experiments, with the economics team measuring what works before it ships platform-wide.
- Lyft is competing against a rival whose pricing and incentive decisions are continuously tested rather than intuited, raising the bar for matching Uber's marketplace tuning.
Second-order effects
- The team's academic output gives Uber an evidence advantage in regulatory and classification debates, letting the company frame gig-work policy around its own peer-reviewed research.
- Driver forums become an informal counter-research channel, aggregating the lived effects of the same incentive schemes Uber's economists measure top-down.
Third-order effects
- If the pattern holds, in-house economics teams become a standard function at large platforms — one unit serving product testing, marketing, and government affairs at once.
- Policymakers risk relying on company-produced research as the primary evidence base for regulating those same companies, unless independent labor-market data sources mature to balance it.
The trend: Large tech platforms are institutionalizing internal research arms that simultaneously optimize their marketplaces, burnish their academic credibility, and shape the policy debate over their own business models.