IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp15643.html
   My bibliography  Save this paper

Temporal Discounting in Later Life

Author

Listed:
  • Kulati, Ellam

    (Warsaw University)

  • Myck, Michal

    (Centre for Economic Analysis, CenEA)

  • Pasini, Giacomo

    (Ca' Foscari University of Venice)

Abstract

We explore intertemporal decision-making in later life by looking at temporal preference heterogeneity among older individuals. Using choice tasks responses from Poland collected as part of the Survey of Health, Ageing, and Retirement in Europe (SHARE), we elicit individual time preferences using competing discounting specifications. With the formulation that best fits our data, we examine which individual characteristics drive the estimated heterogeneity in later life time preferences. Individual numerical abilities, labour and marital status, as well as household income turn out to be significant correlates of patience. Our analysis also provides methodological guidance for instrument design with the aim of eliciting time preferences in a general survey setting.

Suggested Citation

  • Kulati, Ellam & Myck, Michal & Pasini, Giacomo, 2022. "Temporal Discounting in Later Life," IZA Discussion Papers 15643, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp15643
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp15643.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Matthias Sutter & Martin G. Kocher & Daniela Glätzle-Rützler & Stefan T. Trautmann, 2013. "Impatience and Uncertainty: Experimental Decisions Predict Adolescents' Field Behavior," American Economic Review, American Economic Association, vol. 103(1), pages 510-531, February.
    2. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    3. David E. Bloom & Dara Lee Luca, 2016. "The Global Demography of Aging: Facts, Explanations, Future," PGDA Working Papers 13016, Program on the Global Demography of Aging.
    4. Dittrich, Marcus & Leipold, Kristina, 2014. "Gender differences in time preferences," Economics Letters, Elsevier, vol. 122(3), pages 413-415.
    5. Stephan Meier & Charles Sprenger, 2010. "Present-Biased Preferences and Credit Card Borrowing," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 193-210, January.
    6. Gary S. Becker & Casey B. Mulligan, 1997. "The Endogenous Determination of Time Preference," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(3), pages 729-758.
    7. repec:cup:judgdm:v:4:y:2009:i:1:p:1-19 is not listed on IDEAS
    8. Masao Ogaki & Andrew Atkeson, 1997. "Rate Of Time Preference, Intertemporal Elasticity Of Substitution, And Level Of Wealth," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 564-572, November.
    9. Borghans, Lex & Golsteyn, Bart H.H., 2006. "Time discounting and the body mass index: Evidence from the Netherlands," Economics & Human Biology, Elsevier, vol. 4(1), pages 39-61, January.
    10. Grossman, Michael, 2006. "Education and Nonmarket Outcomes," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 10, pages 577-633, Elsevier.
    11. Glenn W. Harrison & Morten I. Lau & Melonie B. Williams, 2002. "Estimating Individual Discount Rates in Denmark: A Field Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1606-1617, December.
    12. Rogers, Alan R, 1994. "Evolution of Time Preference by Natural Selection," American Economic Review, American Economic Association, vol. 84(3), pages 460-481, June.
    13. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David B. Huffman & Uwe Sunde, 2017. "Global Evidence on Economic Preferences," NBER Working Papers 23943, National Bureau of Economic Research, Inc.
    14. repec:cup:judgdm:v:4:y:2009:i:4:p:280-286 is not listed on IDEAS
    15. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    16. Marc Oliver Rieger & Thorsten Hens & Mei Wang, 2021. "Universal Time Preference," Swiss Finance Institute Research Paper Series 21-53, Swiss Finance Institute.
    17. Musau, Andrew, 2009. "Modeling Alternatives to Exponential Discounting," MPRA Paper 16416, University Library of Munich, Germany.
    18. Trostel, Philip A & Taylor, Grant A, 2001. "A Theory of Time Preference," Economic Inquiry, Western Economic Association International, vol. 39(3), pages 379-395, July.
    19. Jonathan Cohen & Keith Marzilli Ericson & David Laibson & John Myles White, 2020. "Measuring Time Preferences," Journal of Economic Literature, American Economic Association, vol. 58(2), pages 299-347, June.
    20. Marc Oliver Rieger & Mei Wang & Thorsten Hens, 2021. "Universal time preference," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-15, February.
    21. Drazen Prelec & George Loewenstein, 1998. "The Red and the Black: Mental Accounting of Savings and Debt," Marketing Science, INFORMS, vol. 17(1), pages 4-28.
    22. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David Huffman & Uwe Sunde, 2018. "Global Evidence on Economic Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1645-1692.
    23. David Richter & Rui Mata, 2018. "Age Differences in Intertemporal Choice: U-Shaped Associations in a Probability Sample of German Households," SOEPpapers on Multidisciplinary Panel Data Research 974, DIW Berlin, The German Socio-Economic Panel (SOEP).
    24. Catherine Ross & John Mirowsky, 1999. "Refining the association between education and health: The effects of quantity, credential, and selectivity," Demography, Springer;Population Association of America (PAA), vol. 36(4), pages 445-460, November.
    25. Pavlo R. Blavatskyy & Hela Maafi, 2018. "Estimating representations of time preferences and models of probabilistic intertemporal choice on experimental data," Journal of Risk and Uncertainty, Springer, vol. 56(3), pages 259-287, June.
    26. Myong‐Il Kang & Shinsuke Ikeda, 2014. "Time Discounting And Smoking Behavior: Evidence From A Panel Survey," Health Economics, John Wiley & Sons, Ltd., vol. 23(12), pages 1443-1464, December.
    27. Ahmed, Rifaan & Kesavayuth, Dusanee & Zikos, Vasileios, 2018. "Does being smarter make you happier? Evidence from Europe," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 76(C), pages 55-67.
    28. 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.
    29. Nicole Schneeweis & Vegard Skirbekk & Rudolf Winter-Ebmer, 2014. "Does Education Improve Cognitive Performance Four Decades After School Completion?," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 619-643, April.
    30. Boyle, Patricia A & Yu, Lei & Segawa, Eisuke & Wilson, Robert S & Buchman, Aron S & Laibson, David I. & Bennett, David A, 2012. "Association of cognition with temporal discounting in community based older persons," Scholarly Articles 11726269, Harvard University Department of Economics.
    31. Ted O'Donoghue & Matthew Rabin, 2015. "Present Bias: Lessons Learned and to Be Learned," American Economic Review, American Economic Association, vol. 105(5), pages 273-279, May.
    32. Lawrance, Emily C, 1991. "Poverty and the Rate of Time Preference: Evidence from Panel Data," Journal of Political Economy, University of Chicago Press, vol. 99(1), pages 54-77, February.
    33. Patricia A Boyle & Lei Yu & Keith J Gamble & David A Bennett, 2013. "Temporal Discounting Is Associated with an Increased Risk of Mortality among Community-Based Older Persons without Dementia," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-5, June.
    34. Benhabib, Jess & Bisin, Alberto & Schotter, Andrew, 2010. "Present-bias, quasi-hyperbolic discounting, and fixed costs," Games and Economic Behavior, Elsevier, vol. 69(2), pages 205-223, July.
    35. Jeffrey Prince & Daniel Shawhan, 2011. "Is time inconsistency primarily a male problem?," Applied Economics Letters, Taylor & Francis Journals, vol. 18(6), pages 501-504.
    36. Paul A. Samuelson, 1937. "A Note on Measurement of Utility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 4(2), pages 155-161.
    37. Castillo, Marco & Ferraro, Paul J. & Jordan, Jeffrey L. & Petrie, Ragan, 2011. "The today and tomorrow of kids: Time preferences and educational outcomes of children," Journal of Public Economics, Elsevier, vol. 95(11), pages 1377-1385.
    38. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    Full references (including those not matched with items on IDEAS)

    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. Burro, Giovanni & McDonald, Rebecca & Read, Daniel & Taj, Umar, 2022. "Patience decreases with age for the poor but not for the rich: an international comparison," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 596-621.
    2. Dániel Horn & Hubert János Kiss, 2020. "Time preferences and their life outcome correlates: Evidence from a representative survey," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-26, July.
    3. Pablo Brañas-Garza & Diego Jorrat & Antonio M. Espín & Angel Sánchez, 2023. "Paid and hypothetical time preferences are the same: lab, field and online evidence," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 412-434, April.
    4. Kureishi, Wataru & Paule-Paludkiewicz, Hannah & Tsujiyama, Hitoshi & Wakabayashi, Midori, 2020. "Time preferences over the life cycle," SAFE Working Paper Series 267, Leibniz Institute for Financial Research SAFE, revised 2020.
    5. Kureishi, Wataru & Paule-Paludkiewicz, Hannah & Tsujiyama, Hitoshi & Wakabayashi, Midori, 2021. "Time preferences over the life cycle and household saving puzzles," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 123-139.
    6. Jindrich Matousek & Tomas Havranek & Zuzana Irsova, 2022. "Individual discount rates: a meta-analysis of experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 318-358, February.
    7. Tomáš Želinský, 2021. "Intertemporal Choices of Children and Adults from Poor Roma Communities: A Case Study from Slovakia," Eastern European Economics, Taylor & Francis Journals, vol. 59(4), pages 378-405, July.
    8. Dawoon Jung & Tushar Bharati & Seungwoo Chin, 2021. "Does Education Affect Time Preference? Evidence from Indonesia," Economic Development and Cultural Change, University of Chicago Press, vol. 69(4), pages 1451-1499.
    9. Galizzi, Matteo M. & Miraldo, Marisa & Stavropoulou, Charitini & van der Pol, Marjon, 2016. "Doctor–patient differences in risk and time preferences: A field experiment," Journal of Health Economics, Elsevier, vol. 50(C), pages 171-182.
    10. Melanie Lührmann & Marta Serra-Garcia & Joachim Winter, 2018. "The Impact of Financial Education on Adolescents' Intertemporal Choices," American Economic Journal: Economic Policy, American Economic Association, vol. 10(3), pages 309-332, August.
    11. Preuss, Malte, 2021. "Intra-individual stability of two survey measures on forward-looking attitude," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 201-227.
    12. Akin, Zafer & Yavas, Abdullah, 2023. "Elicited Time Preferences and Behavior in Long-Run Projects," MPRA Paper 117133, University Library of Munich, Germany.
    13. Schaewitz, Johannes & Wang, Mei & Rieger, Marc Oliver, 2022. "Culture and Institutions: Long-lasting effects of communism on risk and time preferences of individuals in Europe," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 785-829.
    14. Wang, Mei & Rieger, Marc Oliver & Hens, Thorsten, 2016. "How time preferences differ: Evidence from 53 countries," Journal of Economic Psychology, Elsevier, vol. 52(C), pages 115-135.
    15. Uttara Balakrishnan & Johannes Haushofer & Pamela Jakiela, 2020. "How soon is now? Evidence of present bias from convex time budget experiments," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 294-321, June.
    16. Gill, Andrej & Hett, Florian & Tischer, Johannes, 2022. "Time inconsistency and overdraft use: Evidence from transaction data and behavioral measurement experiments," Discussion Papers 18/2022, Deutsche Bundesbank.
    17. Tim Friehe & Markus Pannenberg, 2020. "Time preferences and political regimes: evidence from reunified Germany," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 349-387, January.
    18. Daniel Horn & Hubert Janos Kiss, 2018. "Which preferences associate with school performance?—Lessons from an exploratory study with university students," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-32, February.
    19. Zexuan Wang & Ismaël Rafaï & Marc Willinger, 2023. "Does age affect the relation between risk and time preferences? Evidence from a representative sample," Southern Economic Journal, John Wiley & Sons, vol. 90(2), pages 341-368, October.
    20. Andrej Gill & Florian Hett & Johannes Tischer, 2022. "Time Inconsistency and Overdraft Use: Evidence from Transaction Data and Behavioral Measurement Experiments," Working Papers 2205, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

    More about this item

    Keywords

    time preferences; discount rate; present bias; survey methodology; old age;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp15643. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.