IDEAS home Printed from https://ideas.repec.org/a/kap/jrisku/v42y2011i3p233-261.html
   My bibliography  Save this article

Dopamine receptor genes predict risk preferences, time preferences, and related economic choices

Author

Listed:
  • Jeffrey Carpenter
  • Justin Garcia
  • J. Lum

Abstract

No abstract is available for this item.

Suggested Citation

  • Jeffrey Carpenter & Justin Garcia & J. Lum, 2011. "Dopamine receptor genes predict risk preferences, time preferences, and related economic choices," Journal of Risk and Uncertainty, Springer, vol. 42(3), pages 233-261, June.
    • Handle: RePEc:kap:jrisku:v:42:y:2011:i:3:p:233-261
    DOI: 10.1007/s11166-011-9115-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11166-011-9115-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11166-011-9115-3?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. Catherine C. Eckel & Philip J. Grossman, 2002. "Sex Differences and Statistical Stereotyping in Attitudes Toward Financial Risk," Monash Economics Working Papers archive-03, Monash University, Department of Economics.
    2. Claudia R. Sahm, 2012. "How Much Does Risk Tolerance Change?," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 1-38.
    3. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    4. Camelia M Kuhnen & Joan Y Chiao, 2009. "Genetic Determinants of Financial Risk Taking," PLOS ONE, Public Library of Science, vol. 4(2), pages 1-4, February.
    5. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    6. Jason M. Fletcher & Steven F. Lehrer, 2009. "Using Genetic Lotteries within Families to Examine the Causal Impact of Poor Health on Academic Achievement," NBER Working Papers 15148, National Bureau of Economic Research, Inc.
    7. Leland, Jonathan W, 1994. "Generalized Similarity Judgments: An Alternative Explanation for Choice Anomalies," Journal of Risk and Uncertainty, Springer, vol. 9(2), pages 151-172, October.
    8. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    9. 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.
    10. Binswanger, Hans P, 1981. "Attitudes toward Risk: Theoretical Implications of an Experiment in Rural India," Economic Journal, Royal Economic Society, vol. 91(364), pages 867-890, December.
    11. George-Marios Angeletos, 2001. "The Hyberbolic Consumption Model: Calibration, Simulation, and Empirical Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 47-68, Summer.
    12. Catherine C. Eckel & Philip J. Grossman, 2008. "Forecasting Risk Attitudes: An Experimental Study Using Actual and Forecast Gamble Choices," Monash Economics Working Papers archive-01, Monash University, Department of Economics.
    13. Fuad Aleskerov & Denis Bouyssou & Bernard Monjardet, 2007. "Utility Maximization, Choice and Preference," Springer Books, Springer, edition 0, number 978-3-540-34183-3, November.
    14. Maribeth Coller & Melonie Williams, 1999. "Eliciting Individual Discount Rates," Experimental Economics, Springer;Economic Science Association, vol. 2(2), pages 107-127, December.
    15. Rubinstein, Ariel, 1988. "Similarity and decision-making under risk (is there a utility theory resolution to the Allais paradox?)," Journal of Economic Theory, Elsevier, vol. 46(1), pages 145-153, October.
    16. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    17. Ellen Garbarino & Robert Slonim & Justin Sydnor, 2011. "Digit ratios (2D:4D) as predictors of risky decision making for both sexes," Journal of Risk and Uncertainty, Springer, vol. 42(1), pages 1-26, February.
    18. Stigler, George J & Becker, Gary S, 1977. "De Gustibus Non Est Disputandum," American Economic Review, American Economic Association, vol. 67(2), pages 76-90, March.
    19. Donkers, Bas & Melenberg, Bertrand & Van Soest, Arthur, 2001. "Estimating Risk Attitudes Using Lotteries: A Large Sample Approach," Journal of Risk and Uncertainty, Springer, vol. 22(2), pages 165-195, March.
    20. Juan Camilo Cárdenas & Jeffrey Carpenter, 2010. "Risk Attitudes and Well-being in Latin America," Documentos CEDE 7718, Universidad de los Andes, Facultad de Economía, CEDE.
    21. Burks, Stephen V. & Carpenter, Jeffrey P. & Götte, Lorenz & Rustichini, Aldo, 2008. "Cognitive Skills Explain Economic Preferences, Strategic Behavior, and Job Attachment," IZA Discussion Papers 3609, Institute of Labor Economics (IZA).
    22. Andrew Caplin & Mark Dean, 2008. "Dopamine, Reward Prediction Error, and Economics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 663-701.
    23. Yew-Kwang Ng, 1975. "Bentham or Bergson? Finite Sensibility, Utility Functions and Social Welfare Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(4), pages 545-569.
    24. Jonathan W. Leland, 2002. "Similarity Judgments and Anomalies in Intertemporal Choice," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 574-581, October.
    25. Ding, Weili & Lehrer, Steven F. & Rosenquist, J.Niels & Audrain-McGovern, Janet, 2009. "The impact of poor health on academic performance: New evidence using genetic markers," Journal of Health Economics, Elsevier, vol. 28(3), pages 578-597, May.
    26. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    27. Taubman, Paul, 1976. "The Determinants of Earnings: Genetics, Family, and Other Environments; A Study of White Male Twins," American Economic Review, American Economic Association, vol. 66(5), pages 858-870, December.
    28. David Cesarini & Christopher T. Dawes & Magnus Johannesson & Paul Lichtenstein & Björn Wallace, 2009. "Genetic Variation in Preferences for Giving and Risk Taking," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 809-842.
    29. 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.
    30. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 537-579.
    31. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Lost In State Space: Are Preferences Stable?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(3), pages 1091-1112, August.
    32. Serdar Sayman & Ayse Öncüler, 2009. "An Investigation of Time Inconsistency," Management Science, INFORMS, vol. 55(3), pages 470-482, March.
    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. Galizzi, Matteo M. & Machado, Sara R. & Miniaci, Raffaele, 2016. "Temporal stability, cross-validity, and external validity of risk preferences measures: experimental evidence from a UK representative sample," LSE Research Online Documents on Economics 67554, London School of Economics and Political Science, LSE Library.
    2. Anwesha Bandyopadhyay & Lutfunnahar Begum & Philip J. Grossman, 2021. "Gender differences in the stability of risk attitudes," Journal of Risk and Uncertainty, Springer, vol. 63(2), pages 169-201, October.
    3. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    4. Sophie Clot & Charlotte Y. Stanton & Marc Willinger, 2017. "Are impatient farmers more risk-averse? Evidence from a lab-in-the-field experiment in rural Uganda," Applied Economics, Taylor & Francis Journals, vol. 49(2), pages 156-169, January.
    5. Booij, Adam S. & van Praag, Bernard M.S., 2009. "A simultaneous approach to the estimation of risk aversion and the subjective time discount rate," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 374-388, May.
    6. Emmanouil Mentzakis & Jana Sadeh, 2021. "Experimental evidence on the effect of incentives and domain in risk aversion and discounting tasks," Journal of Risk and Uncertainty, Springer, vol. 62(3), pages 203-224, June.
    7. Andreas C. Drichoutis & Rodolfo M. Nayga, 2015. "Do risk and time preferences have biological roots?," Southern Economic Journal, John Wiley & Sons, vol. 82(1), pages 235-256, July.
    8. Pablo Brañas‐Garza & Matteo M. Galizzi & Jeroen Nieboer, 2018. "Experimental And Self‐Reported Measures Of Risk Taking And Digit Ratio (2d:4d): Evidence From A Large, Systematic Study," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(3), pages 1131-1157, August.
    9. Chetan Dave & Catherine Eckel & Cathleen Johnson & Christian Rojas, 2010. "Eliciting risk preferences: When is simple better?," Journal of Risk and Uncertainty, Springer, vol. 41(3), pages 219-243, December.
    10. Jim Engle-Warnick & Sonia Laszlo, 2017. "Learning-by-doing in an ambiguous environment," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 71-94, August.
    11. Tamás Csermely & Alexander Rabas, 2016. "How to reveal people’s preferences: Comparing time consistency and predictive power of multiple price list risk elicitation methods," Journal of Risk and Uncertainty, Springer, vol. 53(2), pages 107-136, December.
    12. Eriksen, Kristoffer W. & Kvaløy, Ola & Luzuriaga, Miguel, 2020. "Risk-taking on behalf of others," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    13. Holzmeister, Felix & Stefan, Matthias, 2019. "The Risk Elicitation Puzzle Revisited: Across-Methods (In)consistency?," OSF Preprints pj9u2, Center for Open Science.
    14. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    15. Ahsanuzzaman, & Priyo, Asad Karim Khan & Nuzhat, Kanti Ananta, 2022. "Effects of communication, group selection, and social learning on risk and ambiguity attitudes: Experimental evidence from Bangladesh," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    16. Jeffrey Butler & Luigi Guiso & Tullio Jappelli, 2014. "The role of intuition and reasoning in driving aversion to risk and ambiguity," Theory and Decision, Springer, vol. 77(4), pages 455-484, December.
    17. Felix Holzmeister & Matthias Stefan, 2019. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Working Papers 2019-19, Faculty of Economics and Statistics, Universität Innsbruck.
    18. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    19. Alexander L. Brown & Hwagyun Kim, 2014. "Do Individuals Have Preferences Used in Macro-Finance Models? An Experimental Investigation," Management Science, INFORMS, vol. 60(4), pages 939-958, April.
    20. Takeuchi, Kan, 2011. "Non-parametric test of time consistency: Present bias and future bias," Games and Economic Behavior, Elsevier, vol. 71(2), pages 456-478, March.

    More about this item

    Keywords

    Risk; Ambiguity; Loss; Discounting; Dopamine; Genetics; C91; D14; D81; D87; G11;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:kap:jrisku:v:42:y:2011:i:3:p:233-261. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.