The Employment Effects of a Guaranteed Income: Experimental Evidence from Two U.S. States

Six authors report a randomized trial in Texas and Illinois: 1,000 low-income adults aged 21 to 40 received $1,000 a month with no conditions for three years, and 2,000 controls received $50. Recipients had about $1,900 a year less income besides the payments and were 4.2 points less likely to be employed (pooled estimate), with no gain in job quality.

Why it matters

The same thing, for different readers.

What it means for you

Low-income adults given $1,000 a month with no conditions worked somewhat less and spent more, but did not get better jobs. The study is not about AI.

For lawmakers

Bears on income-support ideas for AI job loss: unconditional cash cut work moderately and did not improve job quality, but it tested low-income adults, not displaced workers.

For researchers

The 4.2-point employment fall pools unemployment-insurance records with survey answers (surveys alone: 2.3 points). Partner-hours results were not pre-specified and lose significance after the paper's multiple-testing correction.

The question it raises

The authors read the fall in work as recipients valuing time away from it, raising whether less paid work is a cost to offset or a choice to respect.

In their own words

Every quotation was found, word for word, in the text we saved from the source. That shows the words are there; it does not make them true, or prove the speaker meant them as quoted.

From the source’s own text.

“Overall, our results suggest a moderate labor supply effect that does not appear offset by other productive activities.”
Eva Vivalt, University of TorontoThe authors' overall conclusion, in the abstract.
Found word for word in the source
“The transfer caused total individual income excluding the transfers to fall by about $1,900/year relative to the control group and a 4.2 percentage point decrease in labor market participation.”
Eva Vivalt, University of TorontoAbstract: the headline estimates for income and labor-market participation.
Found word for word in the source
“Despite asking detailed questions about amenities, we find no impact on quality of employment, and our confidence intervals can rule out even small improvements.”
Eva Vivalt, University of TorontoAbstract: on whether the cash let recipients find better jobs.
Found word for word in the source
“While decreased labor market participation is generally characterized negatively, policymakers should take into account the fact that recipients have demonstrated–by their own choices–that time away from work is something they prize highly.”
Eva Vivalt, University of TorontoClosing paragraph of the conclusion: the authors' advice to policymakers on reading the drop in work.
Found word for word in the source

How the finding was reached

In our words, from the source. Weigh the finding by how it was made.

What was done
Randomized trial of a program implemented by two nonprofits in ten counties of north central Texas and nine of northern Illinois. 1,000 adults aged 21-40, with 2019 household income up to 300% of the federal poverty level, were randomly assigned to $1,000 a month with no conditions from November 2020 to October 2023; 2,000 controls received $50 a month. Outcomes come from state unemployment-insurance records (for participants who consented to linkage and could be matched), enumerated surveys (response rates 97% at midline, 96% at endline), online surveys and a phone-app time diary. Pre-registered.
What it found
Relative to controls, total individual income excluding the transfers fell by about $1,900 a year (5.6% of the control mean). Employment fell 4.2 percentage points in the pooled records-and-survey estimate (2.3 points in surveys alone, 6.6 in records alone), and hours worked fell by 1-2 a week (1.3 in the survey measure). The extra time went mainly to leisure. The authors find no change in job quality and rule out wage gains above 58 cents an hour, and no significant effect on degree attainment. Spending rose by about $287 a month; well-being gains in year one faded by years two and three.
What it does not show
Participants were low-income adults aged 21-40 in parts of two states, not workers displaced by technology, and the paper does not study AI. Payments lasted three years; the authors say follow-ups are needed on what persists after payments end, on children, and on effects if a program ran at scale. Unemployment-insurance records miss some contract and gig work, and the 4.2-point figure depends on pooling them with surveys. The partner and household hours results were not pre-specified and are not significant after the paper's multiple-testing correction. A working paper, not peer-reviewed.
Status
A working paper: not yet peer reviewed

The record

Questions
What happens to work, income and the economy?
People
Eva Vivalt (Wrote it, University of Toronto) · Elizabeth Rhodes (Wrote it, OpenResearch) · Alexander W. Bartik (Wrote it, University of Illinois Urbana-Champaign) · David E. Broockman (Wrote it, University of California, Berkeley) · Patrick Krause (Wrote it, OpenResearch) · Sarah Miller (Wrote it, University of Michigan Ross School of Business and NBER)
What we read
We read the whole source.
Found by
A research pass: work, income and the economy, gathered October 13, 2026, via research-work (tier 1: the source’s own channel or an official record)
Cite this
National Bureau of Economic Research, “The Employment Effects of a Guaranteed Income: Experimental Evidence from Two U.S. States”, August 2026. Entry in the Ctrl AI Base, https://ctrlai.com/base/nber-2026-08-guaranteed-income-employment-effects
Our notesText saved by the research pass: NBER's landing page gave only the abstract, so the full working paper text was used. It is the August 2026 revision; NBER lists earlier versions (July 2024, January 2025, September 2025, January 2026), so figures can differ from earlier coverage. Read: sections I to VII and Tables III to V; the appendices (tables A.1 to A.68 and further figures) were not read in detail. The 4.2-point figure is the paper's pooled estimate and its preferred measure; the abstract calls it labor market participation, the body calls it employment. Partner hours appear plainly in the abstract, but the body says they were not pre-specified. Two of the six authors work at OpenResearch, whose name the study carries (the OpenResearch Unconditional Income Study); the program itself was implemented by two nonprofits. The paper names its funders only as the NSF and private donors. The body does not discuss AI (an appendix uses GPT only to recode free-text time-use answers), so any link to AI job loss is ours, not the authors'. The saved text keeps the PDF's line breaks and some hyphenation. The author id sarah-miller is the University of Michigan author; check it against other people of that name.