IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v41y2012i6p836-842.html
   My bibliography  Save this article

Factors affecting completion of a matched savings program: Impacts of time preference, discount rate, and financial hardship

Author

Listed:
  • Manturuk, Kim
  • Dorrance, Jessica
  • Riley, Sarah

Abstract

There is a general consensus among researchers and policymakers that matched savings programs can significantly increase the propensity to save among low-income households. This study offers a unique contribution to the field by testing whether principals and theories from behavioral economics affect the decisions that participants make in these savings programs. Using a sample of people participating in the $aveNYC program, a matched savings program for very low-income households, we test whether information failure, time preference, and financial hardship affected people's ability to complete the program and receive the match money. We find that future orientation does not significantly impact program completion, but both information failure and financial hardship increase the hazard of early account closure. Although the pool of participants who did not receive the match was small, both information failure and financial hardship had large impacts on the risk of withdrawing the account before receiving a match. We discuss how these findings can inform program design and suggest future research.

Suggested Citation

  • Manturuk, Kim & Dorrance, Jessica & Riley, Sarah, 2012. "Factors affecting completion of a matched savings program: Impacts of time preference, discount rate, and financial hardship," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(6), pages 836-842.
  • Handle: RePEc:eee:soceco:v:41:y:2012:i:6:p:836-842
    DOI: 10.1016/j.socec.2012.08.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S105353571200100X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socec.2012.08.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Timothy M. Smeeding & Katherin Ross Phillips & Michael O'Connor, 2000. "The EITC: Expectation, Knowledge, Use and Economic and Social Mobility," JCPR Working Papers 139, Northwestern University/University of Chicago Joint Center for Poverty Research.
    2. Marianne Bertrand & Sendhil Mullainathan & Eldar Shafir, 2004. "A Behavioral-Economics View of Poverty," American Economic Review, American Economic Association, vol. 94(2), pages 419-423, May.
    3. Esther Duflo & William Gale & Jeffrey Liebman & Peter Orszag & Emmanuel Saez, 2006. "Saving Incentives for Low- and Middle-Income Families: Evidence from a Field Experiment with H&R Block," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1311-1346.
    4. Smeeding, Timothy M. & Phillips, Katherin Ross & O’Connor, Michael, 2000. "The EITC: Expectation, Knowledge, Use, and Economic and Social Mobility," National Tax Journal, National Tax Association, vol. 53(n. 4), pages 1187-210, December.
    5. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    6. Beverly, Sondra G. & Sherraden, Michael, 1999. "Institutional determinants of saving: implications for low-income households and public policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 28(4), pages 457-473.
    7. Julie Agnew & Lisa R. Szykman, 2004. "Asset Allocation and Information Overload: The Influence of Information Display, Asset Choice and Investor Experience," Working Papers, Center for Retirement Research at Boston College wp2004-15, Center for Retirement Research, revised May 2004.
    8. Michael Sherraden & Mark Schreiner & Sondra Beverly, 2003. "Income, Institutions, and Saving Performance in Individual Development Accounts," Economic Development Quarterly, , vol. 17(1), pages 95-112, February.
    9. Smeeding, Timothy M. & Phillips, Katherin Ross & O’Connor, Michael, 2000. "The EITC: Expectation, Knowledge, Use, and Economic and Social Mobility," National Tax Journal, National Tax Association;National Tax Journal, vol. 53(4), pages 1187-1210, December.
    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. Shavit, Tal & Lahav, Eyal & Shahrabani, Shosh, 2014. "What affects the decision to take an active part in social justice protests? The impacts of confidence in society, time preference and interest in politics," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 52(C), pages 52-63.
    2. Tonsing, Kareen N. & Ghoh, Corinne, 2019. "Savings attitude and behavior in children participating in a matched savings program in Singapore," Children and Youth Services Review, Elsevier, vol. 98(C), pages 17-23.

    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. Congdon, William J. & Kling, Jeffrey R. & Mullainathan, Sendhil, 2009. "Behavioral Economics and Tax Policy," National Tax Journal, National Tax Association;National Tax Journal, vol. 62(3), pages 375-386, September.
    2. Mills, Gregory & Gale, William G. & Patterson, Rhiannon & Engelhardt, Gary V. & Eriksen, Michael D. & Apostolov, Emil, 2008. "Effects of individual development accounts on asset purchases and saving behavior: Evidence from a controlled experiment," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1509-1530, June.
    3. Nicole Simpson & Devin Reilly & Kartik Athreya, 2010. "The Earned Income Tax Credit: Insurance Without Disincentives?," 2010 Meeting Papers 1103, Society for Economic Dynamics.
    4. Jonathan Fisher & Bradley L. Hardy, 2023. "Money matters: consumption variability across the income distribution," Fiscal Studies, John Wiley & Sons, vol. 44(3), pages 275-298, September.
    5. Nicole Simpson & Jill Tiefenthaler & Jameson Hyde, 2010. "The Impact of the Earned Income Tax Credit on Economic Well-Being: A Comparison Across Household Types," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(6), pages 843-864, December.
    6. Sean Higgins & Nora Lustig & Whitney Ruble & Timothy M. Smeeding, 2016. "Comparing the Incidence of Taxes and Social Spending in Brazil and the United States," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(S1), pages 22-46, August.
    7. Mike Brewer, 2000. "Comparing in-work benefits and financial work incentives for low-income families in the US and the UK," IFS Working Papers W00/16, Institute for Fiscal Studies.
    8. Brian Baugh & Itzhak Ben-David & Hoonsuk Park & Jonathan A. Parker, 2021. "Asymmetric Consumption Smoothing," American Economic Review, American Economic Association, vol. 111(1), pages 192-230, January.
    9. Katie Fitzpatrick, 2015. "Does “Banking the Unbanked” Help Families to Save? Evidence from the United Kingdom," Journal of Consumer Affairs, Wiley Blackwell, vol. 49(1), pages 223-249, March.
    10. Karen Z. Kramer & Flávia Cristina Drumond Andrade & Andrew J. Greenlee & Ruby Mendenhall & Dylan Bellisle & Renee Lemons Blanks, 2019. "Periodic Earned Income Tax Credit (EITC) Payment, Financial Stress and Wellbeing: A Longitudinal Study," Journal of Family and Economic Issues, Springer, vol. 40(3), pages 511-523, September.
    11. Nada Eissa & Hilary W. Hoynes, 2006. "Behavioral Responses to Taxes: Lessons from the EITC and Labor Supply," NBER Chapters, in: Tax Policy and the Economy, Volume 20, pages 73-110, National Bureau of Economic Research, Inc.
    12. Donald P. Hirasuna & Thomas F. Stinson, 2007. "Urban and Rural Differences in Use of Earned Income Credits: A Study of Minnesota's Working Family Credit," International Regional Science Review, , vol. 30(4), pages 408-448, October.
    13. Hirasuna, Donald P. & Stinson, Thomas F., 2004. "Urban And Rural Differences In Utilization Of State Earned Income Tax Credit Programs: Minnesota'S Experience," Working Papers 18912, Oregon State University, Rural Poverty Research Center (RPRC).
    14. Muennig, Peter & Franks, Peter & Jia, Haomiao & Lubetkin, Erica & Gold, Marthe R, 2005. "The income-associated burden of disease in the United States," Social Science & Medicine, Elsevier, vol. 61(9), pages 2018-2026, November.
    15. Aida Farmand & Owen Davis, 2021. "Who Does the Earned Income Tax Credit Benefit? A Monopsony View," SCEPA working paper series. 2021-02, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    16. Berger, Lawrence M. & Collins, J. Michael & Smeeding, Timothy M., 2015. "Exiting or retaining owner-occupied housing in the United States 1999–2009: How do social programs matter?," Children and Youth Services Review, Elsevier, vol. 57(C), pages 112-126.
    17. Brady-Smith, Christy & Brooks-Gunn, Jeanne & Waldfogel, Jane & Fauth, Rebecca, 2001. "Work or welfare? Assessing the impacts of recent employment and policy changes on very young children," Evaluation and Program Planning, Elsevier, vol. 24(4), pages 409-425, November.
    18. Boyd-Swan, Casey & Herbst, Chris M. & Ifcher, John & Zarghamee, Homa, 2016. "The earned income tax credit, mental health, and happiness," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 18-38.
    19. Nada Eissa & Hilary W. Hoynes, 2006. "Behavioral Responses to Taxes: Lessons from the EITC and Labor Supply," NBER Chapters,in: Tax Policy and the Economy, Volume 20, pages 73-110 National Bureau of Economic Research, Inc.
    20. Kyoung Tae Kim & Melissa J. Wilmarth, 2016. "Government Subsidies and Household Debt Burden After the Great Recession," Journal of Family and Economic Issues, Springer, vol. 37(3), pages 349-358, September.

    More about this item

    Keywords

    Time preference; Discount rate; Savings; Tax refund; Survival analysis;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    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:eee:soceco:v:41:y:2012:i:6:p:836-842. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620175 .

    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.