IDEAS home Printed from https://ideas.repec.org/a/beh/jbepv1/v7y2023i1p35-42.html

Scarcity and Inattention

Author

Listed:
  • Ariel Kalil

    (Harris School of Public Policy, University of Chicago)

  • Susan Mayer

    (Harris School of Public Policy, University of Chicago)

  • Rohen Shah

    (Harris School of Public Policy, University of Chicago)

Abstract

Information can increase the quality of decision making. However, some individuals might systematically be less likely to pay attention to such information. Previous research suggests that a "scarcity mindset" focuses attention on immediate needs, leaving less cognitive bandwidth for attending to other information. In this article, we examine the relationship between inattention to information and two types of scarcity – financial and social. We use survey data collected shortly after the onset of the pandemic from 345 low-income parents and from the directors of the 11 preschools attended by the children of these parents. To measure inattention, we compare what information parents report receiving from the school with the information schools report sending. We measured financial scarcity, i.e., a self-report of not having enough money to make ends meet, and social scarcity, i.e., a self-report of loneliness. We find that both types of scarcity are significantly, positively, and independently associated with inattention.

Suggested Citation

  • Ariel Kalil & Susan Mayer & Rohen Shah, 2023. "Scarcity and Inattention," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 7(1), pages 35-42, November.
  • Handle: RePEc:beh:jbepv1:v:7:y:2023:i:1:p:35-42
    as

    Download full text from publisher

    File URL: http://sabeconomics.org/journal/RePEc/beh/JBEPv1/articles/JBEP-7-1-4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ganong, Peter & Noel, Pascal & Vavra, Joseph, 2020. "US unemployment insurance replacement rates during the pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    2. Georgios Garafas, 2022. "The nexus between unemployment and Covid-19 vaccine in the U.S. Evidence from Google trends," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(1), pages 27-32, December.
    3. Hakan Yilmazkuday, 2020. "Unequal unemployment effects of COVID-19 and monetary policy across U.S. States," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S3), pages 45-53, December.
    4. Marco Alifano & Giuseppe Attanasi & Fabio Iannelli & Faredj Cherikh & Antonio Iannelli, 2020. "COVID-19 pandemic: a European perspective on health economic policies," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S), pages 35-43, June.
    5. Shah, Anuj K. & Mullainathan, Sendhil & Shafir, Eldar, 2019. "An exercise in self-replication: Replicating Shah, Mullainathan, and Shafir (2012)," Journal of Economic Psychology, Elsevier, vol. 75(PA).
    6. Michelle Baddeley, 2020. "Hoarding in the age of COVID-19," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S), pages 69-75, June.
    7. Hunt Allcott & Todd Rogers, 2014. "The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation," American Economic Review, American Economic Association, vol. 104(10), pages 3003-3037, October.
    8. Michelle Baddeley, 2020. "COVID-19 2020: A year of living dangerously," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S3), pages 5-9, December.
    9. Hilbert, Leon P. & Noordewier, Marret K. & van Dijk, Wilco W., 2022. "The prospective associations between financial scarcity and financial avoidance," Journal of Economic Psychology, Elsevier, vol. 88(C).
    10. Dietmar Fehr & Günther Fink & Kelsey Jack, 2019. "Poverty, Seasonal Scarcity and Exchange Asymmetries," NBER Working Papers 26357, National Bureau of Economic Research, Inc.
    11. Ariel Kalil & Susan Mayer & Rohen Shah, 2020. "Impact of the COVID-19 Crisis on Family Dynamics in Economically Vulnerable Households," Working Papers 2020-143, Becker Friedman Institute for Research In Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vladimir Ivanov & Elena Nikishina, 2025. "Applying Behavioural Economics to Promote Financial Literate Behaviour: An Overview of Studies," Russian Journal of Money and Finance, Bank of Russia, vol. 84(2), pages 89-112, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samuele Ridolfi, 2024. "Behavioral Macroeconomics: A Systematic Review for Policy Insights," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 8(S2), pages 35-42, December.
    2. Michelle Baddeley, 2020. "COVID-19 2020: A year of living dangerously," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S3), pages 5-9, December.
    3. Joanna Kowalczyk-Anioł & Karolina Kacprzak & Ewa Szafrańska, 2022. "How the COVID-19 Pandemic Affected the Functioning of Tourist Short-Term Rental Platforms (Airbnb and Vrbo) in Polish Cities," IJERPH, MDPI, vol. 19(14), pages 1-23, July.
    4. Alexandra Kirienko & Marie Briguglio, 2025. "Working From Home - The Children Conundrum," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 9(1), pages 19-29, December.
    5. Erica Freer & Quinn Keefer, 2022. "Optimism Bias and Perceptions of Behavioral Factors for Preventing Severe COVID-19 Complications," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(1), pages 11-20, December.
    6. van Dijk, Wilco W. & van der Werf, Minou M.B. & van Dillen, Lotte F., 2022. "The Psychological Inventory of Financial Scarcity (PIFS): A psychometric evaluation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    7. Felipe González-Arango & Javier Corredor & María Angélica López-Ardila & María Camila Contreras-González & Juan Herrera-Santofimio & Jhonathan Jared González, 2022. "The duality of poverty: a replication of Mani et al. (2013) in Colombia," Theory and Decision, Springer, vol. 92(1), pages 39-73, February.
    8. Amil Khanzada & Faisal H. Cheema & Takuji Takemoto, 2025. "Improving Clinical Trial Enrollment for Smartphone-Based AI Data Collection: A Methodological Analysis of Nudge-Based Interventions," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 9(1), pages 41-50, December.
    9. Hilbert, Leon P. & Noordewier, Marret K. & van Dijk, Wilco W., 2022. "Financial scarcity increases discounting of gains and losses: Experimental evidence from a household task," Journal of Economic Psychology, Elsevier, vol. 92(C).
    10. Schmitt, Stefanie Y. & Schlatterer, Markus G., 2021. "Poverty and limited attention," Economics & Human Biology, Elsevier, vol. 41(C).
    11. Schmitt, Stefanie Yvonne & Schlatterer, Markus G., 2020. "Poverty and limited attention," BERG Working Paper Series 159, Bamberg University, Bamberg Economic Research Group.
    12. repec:beh:jbepv1:v:7:y:2023:i:2:p:33-38 is not listed on IDEAS
    13. Gopi Shah Goda & Emilie Jackson & Lauren Hersch Nicholas & Sarah See Stith, 2023. "The impact of Covid-19 on older workers’ employment and Social Security spillovers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 813-846, April.
    14. Robert Hartwig & Greg Niehaus & Joseph Qiu, 2020. "Insurance for economic losses caused by pandemics," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 134-170, September.
    15. Piotr Bialowolski & Christos A. Makridis & Matt Bradshaw & Dorota Weziak-Bialowolska & Craig Gundersen & Noémie Pertel & Cristina Gibson & Sung Joon Jang & R. Noah Padgett & Byron R. Johnson & Tyler J, 2025. "Analysis of demographic variation and childhood correlates of financial well-being across 22 countries," Nature Human Behaviour, Nature, vol. 9(5), pages 917-932, May.
    16. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    17. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2025. "Assessing the Energy-Efficiency Gap," World Scientific Book Chapters, in: Economics of Environment, Climate Change, and Wine Selected Papers of Robert N Stavins Volume 3 (2011–2023), chapter 4, pages 53-118, World Scientific Publishing Co. Pte. Ltd..
    18. Natasya Ghinna & Koji Kotani, 2025. "Future generations and intergenerational sustainability towards SDGs: A comprehensive review for behavioral and institutional decision making," Working Papers SDES-2025-13, Kochi University of Technology, School of Economics and Management, revised Dec 2025.
    19. Olivier Deschenes & Kyle C. Meng, 2018. "Quasi-Experimental Methods in Environmental Economics: Opportunities and Challenges," NBER Working Papers 24903, National Bureau of Economic Research, Inc.
    20. Britta Augsburg & Maitreesh Ghatak & Sara Giunti & Bansi Malde, 2026. "At scale implementation and the perils of fragmentation," IFS Working Papers W26/03, Institute for Fiscal Studies.
    21. Arroyos-Calvera, Danae & Covey, Judith & McDonald, Rebecca, 2023. "Are distributional preferences for safety stable? A longitudinal analysis before and after the COVID-19 outbreak," Social Science & Medicine, Elsevier, vol. 324(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:beh:jbepv1:v:7:y:2023:i:1:p:35-42. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SABE Journal JBEP (email available below). General contact details of provider: https://edirc.repec.org/data/sabeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.