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Complexity and Sophistication

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  • Leandro Carvalho
  • Dan Silverman

Abstract

Many financial situations present individuals with simple alternatives to solving complex problems. The value of these alternatives depends on whether individuals are sophisticated and know when they are better off opting out of complexity. We tested complexity’s effects and evaluated sophistication in a large and diverse sample. We randomly assigned both complexity to portfolio problems and the offer of a simple alternative to portfolio choice. The less-skilled earn lower returns under complexity because they often opt out when the simple alternative is dominated. To interpret the findings, we develop a novel method for estimating the structural parameters of a rational inattention model. The structural estimates are consistent with substantial sophistication. Large fractions of the money that the low-skilled lose by opting out can be justified by their higher costs of attention.

Suggested Citation

  • Leandro Carvalho & Dan Silverman, 2019. "Complexity and Sophistication," NBER Working Papers 26036, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26036
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    1. Syngjoo Choi & Shachar Kariv & Wieland M?ller & Dan Silverman, 2014. "Who Is (More) Rational?," American Economic Review, American Economic Association, vol. 104(6), pages 1518-1550, June.
    2. Benjamin Scheibehenne & Rainer Greifeneder & Peter M. Todd, 2010. "Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(3), pages 409-425, October.
    3. Besedeš, Tibor & Deck, Cary & Sarangi, Sudipta & Shor, Mikhael, 2012. "Decision-making strategies and performance among seniors," Journal of Economic Behavior & Organization, Elsevier, vol. 81(2), pages 524-533.
    4. Mark Egan & Gregor Matvos & Amit Seru, 2019. "The Market for Financial Adviser Misconduct," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 233-295.
    5. Friesen, Lana & Earl, Peter E., 2015. "Multipart tariffs and bounded rationality: An experimental analysis of mobile phone plan choices," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 239-253.
    6. Kenan Kalaycı & Marta Serra-Garcia, 2016. "Complexity and biases," Experimental Economics, Springer;Economic Science Association, vol. 19(1), pages 31-50, March.
    7. Schram, Arthur & Sonnemans, Joep, 2011. "How individuals choose health insurance: An experimental analysis," European Economic Review, Elsevier, vol. 55(6), pages 799-819, August.
    8. Tibor Besedeš & Cary Deck & Sudipta Sarangi & Mikhael Shor, 2012. "Age Effects and Heuristics in Decision Making," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 580-595, May.
    9. Mitchell, Olivia S. & Utkus, Stephen P. (ed.), 2004. "Pension Design and Structure: New Lessons from Behavioral Finance," OUP Catalogue, Oxford University Press, number 9780199273393.
    10. Tse, Alan & Friesen, Lana & Kalaycı, Kenan, 2016. "Complexity and asset legitimacy in retirement investment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 60(C), pages 35-48.
    11. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian, 2009. "The Importance of Default Options for Retirement Saving Outcomes: Evidence from the United States," NBER Chapters, in: Social Security Policy in a Changing Environment, pages 167-195, National Bureau of Economic Research, Inc.
    12. Sendhil Mullainathan & Markus Noeth & Antoinette Schoar, 2012. "The Market for Financial Advice: An Audit Study," NBER Working Papers 17929, National Bureau of Economic Research, Inc.
    13. Shachar Kariv & Dan Silverman, 2013. "An Old Measure of Decision-Making Quality Sheds New Light on Paternalism," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 169(1), pages 29-44, March.
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    Cited by:

    1. Christopher P. Chambers & Federico Echenique & Nicolas S. Lambert, 2021. "Recovering Preferences From Finite Data," Econometrica, Econometric Society, vol. 89(4), pages 1633-1664, July.
    2. Caliari, Daniele, 2023. "Rationality is not consistency," Discussion Papers, Research Unit: Economics of Change SP II 2023-304, WZB Berlin Social Science Center.
    3. Bartosz Maćkowiak & Filip Matějka & Mirko Wiederholt, 2023. "Rational Inattention: A Review," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 226-273, March.
    4. Changkuk Im & John Rehbeck, 2021. "Non-rationalizable Individuals, Stochastic Rationalizability, and Sampling," Papers 2102.03436, arXiv.org, revised Oct 2021.
    5. Im, Changkuk & Rehbeck, John, 2022. "Non-rationalizable individuals and stochastic rationalizability," Economics Letters, Elsevier, vol. 219(C).
    6. David M. Ramsey, 2020. "A Game Theoretic Model of Choosing a Valuable Good via a Short List Heuristic," Mathematics, MDPI, vol. 8(2), pages 1-20, February.
    7. Aluma Dembo & Shachar Kariv & Matthew Polisson & John Quah, 2021. "Ever since Allais," IFS Working Papers W21/15, Institute for Fiscal Studies.
    8. Benjamin Enke & Cassidy Shubatt, 2023. "Quantifying Lottery Choice Complexity," CESifo Working Paper Series 10644, CESifo.
    9. Federico Echenique & Taisuke Imai & Kota Saito, 2019. "Decision Making under Uncertainty: An Experimental Study in Market Settings," Papers 1911.00946, arXiv.org, revised May 2021.
    10. Erin T. Bronchetti & Judd B. Kessler & Ellen B. Magenheim & Dmitry Taubinsky & Eric Zwick, 2020. "Is Attention Produced Rationally?," Working Papers 2020-91, Becker Friedman Institute for Research In Economics.
    11. Erin T. Bronchetti & Judd B. Kessler & Ellen B. Magenheim & Dmitry Taubinsky & Eric Zwick, 2023. "Is Attention Produced Optimally? Theory and Evidence From Experiments With Bandwidth Enhancements," Econometrica, Econometric Society, vol. 91(2), pages 669-707, March.
    12. Abhijit Banerjee & Marcella Alsan & Emily Breza & Arun G. Chandrasekhar & Abhijit Chowdhury & Esther Duflo & Paul Goldsmith-Pinkham & Benjamin A. Olken, 2020. "Messages on COVID-19 Prevention in India Increased Symptoms Reporting and Adherence to Preventive Behaviors Among 25 Million Recipients with Similar Effects on Non-recipient Members of Their Communiti," NBER Working Papers 27496, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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