Cited by 14Financial Literacy, Pension, Retirement AnalysisPoverty, Education, and Child WelfareIncome, Poverty, and Inequality

The DOI matches its Crossref record.

The Impact of Unconditional Cash Transfers on Consumption and Household Balance Sheets: Experimental Evidence from Two US States

Open access

Abstract

We provide new evidence on the causal effect of unearned income on consumption, balance sheets, and financial outcomes by exploiting an experiment that randomly assigned 1000 individ-uals to receive $1000 per month and 2000 individuals to receive $50 per month for three years. The transfer increased measured household expenditures by at least $300 per month. The spending im-pact is positive in most categories, and is largest for housing, food, and car expenses. The treatment increases housing unit and neighborhood mobility. We find noisily estimated modest positive ef-fects on asset values, driven by financial assets, but these gains are offset by higher debt, resulting in a near-zero effect on net worth. The transfer increased self-reported financial health and credit scores but did not affect credit limits, delinquencies, utilization, bankruptcies, or foreclosures. Ad-justing for underreporting, we estimate marginal propensities to spend on non-durables between 0.38 and 0.50, on durables and semi-durables between 0.18 and 0.24, and marginal propensities to de-lever of near zero. These results suggest that large temporary transfers increase short-term con-sumption and improve financial health but may not cause persistent improvements in the financial position of young, low-income households.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3386/w32784

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The simulated UBI effects of increased consumption and reduced depression are similar to the impact observed in Texas' UBI policy, validating the realism of the simulation.

    “which is similar to the impact observed in Texas' UBI policy [14], thus validating the realism of the simulation.”

    From AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society (2025) · cites this paper as [14]

    The Abstract reports that the cash-transfer experiment increased household expenditures, supporting the consumption part of the comparison. Section 2 describes a study conducted in Illinois and Texas, not a Texas UBI policy. The paper’s financial-health discussion (Section 5.2) does not report reduced depression; its findings therefore cannot establish that the simulation matches such an effect. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Still being checked.

Research works printed but not linked: 34

  1. Aguiar, M. and E. Hurst (2005). Consumption versus expenditure. Journal of Political Economy 113(5), 919-948.
  2. Anderson, M. L. (2008). Multiple inference and gender differences in the effects of early interven- tion: A reevaluation of the abecedarian, perry preschool, and early training projects. Journal of the American statistical Association 103(484), 1481-1495.
  3. Benjamini, Y. and Y. Hochberg (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal statistical society: series B (Methodological) 57(1), 289-300.
  4. Bloniarz, A., H. Liu, C.-H. Zhang, J. S. Sekhon, and B. Yu (2016). Lasso adjustments of treatment effect estimates in randomized experiments. Proceedings of the National Academy of Sciences 113(27), 7383-7390.
  5. Briggs, J., D. Cesarini, E. Lindqvist, and R. Östling (2021). Windfall gains and stock market participa- tion. Journal of Financial Economics 139(1), 57-83.
  6. Bronchetti, E. T., G. Christensen, and H. W. Hoynes (2019). Local food prices, snap purchasing power, and child health. Journal of Health Economics 68, 102231.
  7. Broockman, D. E., J. L. Kalla, and J. S. Sekhon (2017). The design of field experiments with survey out- comes: A framework for selecting more efficient, robust, and ethical designs. Political Analysis 25(4), 435-464.
  8. Bulman, G., R. Fairlie, S. Goodman, and A. Isen (2021, April). Parental resources and college atten- dance: Evidence from lottery wins. American Economic Review 111(4), 1201-40.
  9. Cesarini, D., E. Lindqvist, M. J. Notowidigdo, and R. Ostling (2017, 12). The Effect of Wealth on Individual and Household Labor Supply: Evidence from Swedish Lotteries. American Economic Review 107(12), 3917 -3946.
  10. Chetty, R. and A. Szeidl (2016). Consumption commitments and habit formation. Econometrica 84(2), 855-890.
  11. Christopher D., C., C. Thomas F., and S. John (2015). Improving the Measurement of Consumer Expendi- tures. Number volume 74 in NBER Studies in Income and Wealth. University of Chicago Press.
  12. Clark, A. E., P. Frijters, and M. A. Shields (2008, February). Relative Income, Happiness, and Utility: An Explanation for the Easterlin Paradox and Other Puzzles. Journal of Economic Literature 46(1), 95-144.
  13. Deaton, A. (2008). Income, health, and well-being around the world: Evidence from the gallup world poll. Journal of Economic Perspectives 22(2), 53-72.
  14. Evans, W., B. Wolfe, and N. Adler (2012). The ses and health gradient: A brief review of the literature. in The Biological Consequences of Socioeconomic Inequalities, eds. B. Wolfe, W. Evans, and T. E. Seeman (New York, Russell Sage Foundation: 2012).
  15. Fagereng, A., M. B. Holm, and G. J. Natvik (2021). Mpc heterogeneity and household balance sheets. American Economic Journal: Macroeconomics 13(4), 1-54.
  16. Forget, E. L. (2011). The town with no poverty: the health effects of a Canadian guaranteed annual income field experiment. Canadian Public Policy 37(3), 283-305.
  17. Fraker, T. M. (1990). The effects of food stamps on food consumption: A review of the literature. Technical report, Mathematica Policy Research, Inc.
  18. Fuster, A., G. Kaplan, and B. Zafar (2021). What would you do with $500? spending responses to gains, losses, news, and loans. The Review of Economic Studies 88(4), 1760-1795.
  19. Golosov, M., M. Graber, M. Mogstad, and D. Novgorodsky (2023, 10). How Americans Respond to Idiosyncratic and Exogenous Changes in Household Wealth and Unearned Income*. The Quarterly Journal of Economics 139(2), 1321-1395.
  20. Guess, A. M., N. Malhotra, J. Pan, P. Barberá, H. Allcott, T. Brown, A. Crespo-Tenorio, D. Dim- mery, D. Freelon, M. Gentzkow, S. González-Bailón, E. Kennedy, Y. M. Kim, D. Lazer, D. Moehler, B. Nyhan, C. V. Rivera, J. Settle, D. R. Thomas, E. Thorson, R. Tromble, A. Wilkins, M. Wojcieszak, B. Xiong, C. K. de Jonge, A. Franco, W. Mason, N. J. Stroud, and J. A. Tucker (2023). Reshares on so- cial media amplify political news but do not detectably affect beliefs or opinions. Science 381(6656), 404-408.
  21. Han, J., B. D. Meyer, and J. X. Sullivan (2021). The consumption, income, and well-being of single mother-headed families 25 years after welfare reform. National Tax Journal 74(3), 791-824.
  22. Hastings, J., R. Kessler, and J. M. Shapiro (2021, August). The effect of snap on the composition of purchased foods: Evidence and implications. American Economic Journal: Economic Policy 13(3), 277-315.
  23. Hastings, J. and J. M. Shapiro (2018, December). How are snap benefits spent? evidence from a retail panel. American Economic Review 108(12), 3493-3540.
  24. Hoynes, H. W. and D. W. Schanzenbach (2009). Consumption responses to in-kind transfers: Evidence from the introduction of the food stamp program. American Economic Journal: Applied Economics 1(4), 109-139.
  25. Hoynes, H. W. and D. W. Schanzenbach (2016). U.s. food and nutrition programs. In Economics of Means-Tested Transfer Programs in the United States, Volume 1, pp. 219-302. Chicago: University of Chicago Press.
  26. Hsieh, C.-T. (2003). Do consumers react to anticipated income changes? evidence from the alaska permanent fund. American Economic Review 93(1), 397-405.
  27. Imbens, G. W., D. B. Rubin, and B. I. Sacerdote (2001). Estimating the effect of unearned income on labor earnings, savings, and consumption: Evidence from a survey of lottery players. American Economic Review 91(4), 778-794.
  28. Johnson, D. S., J. A. Parker, and N. S. Souleles (2006). Household expenditure and the income tax rebates of 2001. American Economic Review 96(5), 1589-1610.
  29. Kueng, L. (2018). Excess sensitivity of high-income consumers. The Quarterly Journal of Eco- nomics 133(4), 1693-1751.
  30. Lindqvist, E., R. Ostling, and D. Cesarini (2020, 02). Long-Run Effects of Lottery Wealth on Psycho- logical Well-Being. The Review of Economic Studies 87(6), 2703-2726.
  31. Misra, K. and P. Surico (2014). Consumption, income changes, and heterogeneity: Evidence from two fiscal stimulus programs. American Economic Journal: Macroeconomics 6(4), 84-106.
  32. Parker, J. A., N. S. Souleles, D. S. Johnson, and R. McClelland (2013). Consumer spending and the economic stimulus payments of 2008. American Economic Review 103(6), 2530-2553.
  33. Picchio, M., S. Suetens, and J. C. van Ours (2017, 07). Labour Supply Effects of Winning a Lottery. The Economic Journal 128(611), 1700-1729.
  34. Stevenson, B. and J. Wolfers (2013, May). Subjective Well-Being and Income: Is There Any Evidence of Satiation? American Economic Review 103(3), 598-604.

Cited by

Sorted by citations

Metadata

Authors
Bartik, A., Rhodes, E., Broockman, D., Krause, P., Miller, S., & Vivalt, E.
Affiliations
  • University of Illinois Urbana-Champaign (US)
  • OpenResearch (United States) (US)
  • University of California, Berkeley (US)
  • University of Michigan (US)
  • University of Toronto (CA)
Corresponding author
Bartik, Alexander
Venue
National Bureau of Economic Research
Published
2024-08
OpenAlex
W4401321075
Cited by
13
References
0
Citations by year
2026: 8 · 2025: 4 · 2024: 1
Type
report
Language
en
Open access
Locations
  • National Bureau of Economic Research (publishedVersion)
  • SSRN Electronic Journal (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
University of Illinois at Urbana-Champaign
Topics
  • Social Sciences › Economics, Econometrics and Finance › Finance › Financial Literacy, Pension, Retirement Analysis
  • Social Sciences › Development › Poverty, Education, and Child Welfare
  • Social Sciences › Sociology and Political Science › Income, Poverty, and Inequality
Keywords
unconditional cash transfers, unearned income, household consumption, household balance sheets, net worth, residential mobility, neighborhood mobility, financial well-being, credit scores, household debt, asset value, marginal propensity to consume, low-income households, temporary transfers

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review