2026 Robert J. Lampman Memorial Lecture | Katharine Abraham - Winners and Losers in the Gig Economy

2026 Robert J. Lampman Memorial Lecture | Katharine Abraham - Winners and Losers in the Gig Economy

Humanities, Social Sciences & Thought Economics & Finance KCEconomicsKCFLabour
🎙 Katharine G. Abraham 👥 2K 📅 May 27, 2026 ⏱ 57 min 👁 22 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

gig workindependent contractorsmultiple job holdingworker well-beingsurvey data

Summary

Katharine Abraham, in her Lampman Memorial Lecture, presents new evidence on the gig economy, defined broadly to include independent contractors, freelancers, and informal workers, as well as multiple job holders. She argues that official statistics undercount these workers, citing discrepancies between household surveys and tax data. Using a new survey of 18,000 workers, she finds that adding a follow-up question increases the measured self-employment rate by about 50%, and that multiple job holding is nearly three times higher than in the Current Population Survey. The lecture highlights that while some gig workers enjoy flexibility and control, a significant share—particularly those with less education, non-white workers, and single parents—report lacking control over their work and schedule, and experience worse outcomes such as financial difficulty, lack of health insurance, and lower life satisfaction. Abraham discusses the legal distinction between employees and independent contractors, noting incentives for misclassification and evidence from state audits. She concludes by considering policy implications, emphasizing the need for better data and potential reforms to protect vulnerable gig workers.

170 words

Critical Evaluation

Value of the Information & Strength of the Argument

The lecture provides valuable new data from a purpose-built survey, offering a more nuanced picture of gig work than official statistics. The argumentation is solid, systematically comparing survey results with existing data sources and acknowledging limitations. The speaker effectively uses descriptive statistics to show heterogeneity among gig workers, distinguishing between those who choose this work for autonomy and those who are forced into it due to lack of alternatives. The analysis of worker control and well-being outcomes is compelling, though the speaker correctly notes that the findings are not causal. The policy discussion is thoughtful, balancing the benefits of flexibility with the need for protections.

114 words

Title / Content Match

The title accurately reflects the lecture's focus on winners and losers in the gig economy, as the speaker examines both benefits and drawbacks for different worker groups.

Quality & Reliability

8/10

Presentation by a distinguished economist with extensive policy experience, based on a new large-scale survey (18,000 workers) and referencing official statistics. The analysis is descriptive and acknowledges limitations, but the speaker's authority and the methodological transparency support a high reliability score.

Key Moments

Cited Sources

  • Current Population Survey (CPS) — Mentioned as the source of official statistics on employment, self-employment, and multiple job holding.
  • American Community Survey (ACS) — Cited as another household survey that shows stagnant self-employment rates.
  • Tax data (Schedule C, 1099 forms) — Used to show higher and increasing numbers of self-employed and multiple job holders compared to household surveys.

Concurring Sources

  • The Rise of the Gig Economy: Fact or Fiction? (2019) — Economic Policy Institute report that also questions official statistics on gig work and finds undercounting.

Dissenting Sources

  • The Gig Economy: A Critical Introduction (2020) — Some scholars argue that the gig economy is not as large as claimed, and that official statistics may be adequate for certain purposes.

Contribution & Novelties

The lecture presents new survey data that challenges official statistics on gig work, revealing a larger and more diverse gig workforce than previously measured. It provides detailed evidence on the heterogeneity of gig workers’ experiences, particularly regarding control and well-being, and highlights potential misclassification issues. The findings have significant implications for labor policy and data collection.

Pour aller plus loin :

  • Gig economy - Wikipedia — Provides an overview of the gig economy, its definitions, and debates.
  • Independent contractor - Wikipedia — Discusses the legal classification and implications of independent contractor status.
  • Multiple jobholding - Bureau of Labor Statistics — Official statistics on multiple jobholding in the US.
  • Worker misclassification - U.S. Department of Labor — Information on worker misclassification and its consequences.
  • Foundations for Evidence-Based Policy Making Act of 2018 — Legislation mentioned by the speaker, relevant to data-driven policy.

141 words

Radar Profile

The radar profile shows high scores across all dimensions, with particularly strong performance in information quantity and reliability. The lecture is data-rich and methodologically sound, though it is based on descriptive analysis rather than causal inference. The technical level is accessible to a broad audience while still providing depth for experts.

Reliability 8/10

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