IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp12337.html
   My bibliography  Save this paper

Passive Choices and Cognitive Spillovers

Author

Listed:
  • Altmann, Steffen

    (University of Würzburg)

  • Grunewald, Andreas

    (Goethe University Frankfurt)

  • Radbruch, Jonas

    (Humboldt University Berlin)

Abstract

Passive behavior is ubiquitous - even when facing various alternatives to choose from, people commonly fail to take decisions. This paper provides evidence on the cognitive foundations of such "passive choices" and studies implications for policies that encourage active decision-making. In an experiment designed to study passive behavior, we document three main results. First, we demonstrate that scarcity of cognitive resources leads to passive behavior. Second, policies that encourage active choice succeed in reducing passivity and improve decisions in the targeted domain. Third, however, these benefits of choice-promoting policies come at the cost of negative cognitive spillovers to other domains.

Suggested Citation

  • Altmann, Steffen & Grunewald, Andreas & Radbruch, Jonas, 2019. "Passive Choices and Cognitive Spillovers," IZA Discussion Papers 12337, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp12337
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp12337.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Goette, Lorenz & Tiefenbeck, Verena & Degen, Kathrin & Fleisch, Elgar & Tasic, Vojkan & Lalive, Rafael & Staake, Thorsten, 2016. "Overcoming Salience Bias: How Real-Time Feedback Fosters Resource Conservation," CEPR Discussion Papers 11480, C.E.P.R. Discussion Papers.
    2. repec:mpr:mprres:7375 is not listed on IDEAS
    3. Damgaard, Mette Trier & Gravert, Christina, 2018. "The hidden costs of nudging: Experimental evidence from reminders in fundraising," Journal of Public Economics, Elsevier, vol. 157(C), pages 15-26.
    4. Jeffrey R. Kling & Sendhil Mullainathan & Eldar Shafir & Lee C. Vermeulen & Marian V. Wrobel, 2012. "Comparison Friction: Experimental Evidence from Medicare Drug Plans," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(1), pages 199-235.
    5. Xavier Gabaix & David Laibson & Guillermo Moloche & Stephen Weinberg, 2006. "Costly Information Acquisition: Experimental Analysis of a Boundedly Rational Model," American Economic Review, American Economic Association, vol. 96(4), pages 1043-1068, September.
    6. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    7. Ricardo Alonso & Isabelle Brocas & Juan D. Carrillo, 2014. "Resource Allocation in the Brain," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 501-534.
    8. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    9. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience Theory of Choice Under Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1243-1285.
    10. Gabriel D. Carroll & James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Optimal Defaults and Active Decisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1639-1674.
    11. Raj Chetty & John N. Friedman & Søren Leth-Petersen & Torben Heien Nielsen & Tore Olsen, 2014. "Active vs. Passive Decisions and Crowd-Out in Retirement Savings Accounts: Evidence from Denmark," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1141-1219.
    12. Joseph Tao-yi Wang & Michael Spezio & Colin F. Camerer, 2006. "Pinocchio's Pupil: Using Eyetracking and Pupil Dilation to Understand Truth-telling and Deception in Games," Levine's Bibliography 321307000000000042, UCLA Department of Economics.
    13. Amy Finkelstein & Matthew J Notowidigdo, 2019. "Take-Up and Targeting: Experimental Evidence from SNAP," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1505-1556.
    14. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    15. Florian Heiss & Daniel McFadden & Joachim Winter & Amelie Wuppermann & Bo Zhou, 2016. "Inattention and Switching Costs as Sources of Inertia in Medicare Part D," NBER Working Papers 22765, National Bureau of Economic Research, Inc.
    16. van Rooij, Maarten & Teppa, Federica, 2014. "Personal traits and individual choices: Taking action in economic and non-economic decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 100(C), pages 33-43.
    17. Fabian Duarte & Justine S. Hastings, 2012. "Fettered Consumers and Sophisticated Firms: Evidence from Mexico's Privatized Social Security Market," NBER Working Papers 18582, National Bureau of Economic Research, Inc.
    18. Altmann, Steffen & Traxler, Christian, 2014. "Nudges at the dentist," European Economic Review, Elsevier, vol. 72(C), pages 19-38.
    19. Gerlinde Fellner & Rupert Sausgruber & Christian Traxler, 2009. "Testing Enforcement Strategies in the Field: Legal Threat, Moral Appeal and Social Information," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2009_31, Max Planck Institute for Research on Collective Goods.
    20. Saurabh Bhargava & Dayanand Manoli, 2015. "Psychological Frictions and the Incomplete Take-Up of Social Benefits: Evidence from an IRS Field Experiment," American Economic Review, American Economic Association, vol. 105(11), pages 3489-3529, November.
    21. Steffen Altmann & Armin Falk & Paul Heidhues & Rajshri Jayaraman & Marrit Teirlinck, 2019. "Defaults and Donations: Evidence from a Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 808-826, December.
    22. Kaufmann, Cornel & Müller, Tobias & Hefti, Andreas & Boes, Stefan, 2018. "Does personalized information improve health plan choices when individuals are distracted?," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 197-214.
    23. Alois Stutzer & Lorenz Goette & Michael Zehnder, 2011. "Active Decisions and Prosocial Behaviour: a Field Experiment on Blood Donation," Economic Journal, Royal Economic Society, vol. 121(556), pages 476-493, November.
    24. Altmann, Steffen & Traxler, Christian & Weinschenk, Philipp, 2017. "Deadlines and Cognitive Limitations," IZA Discussion Papers 11129, Institute of Labor Economics (IZA).
    25. Xavier Gabaix, 2014. "A Sparsity-Based Model of Bounded Rationality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1661-1710.
    26. Deck, Cary & Jahedi, Salar, 2015. "The effect of cognitive load on economic decision making: A survey and new experiments," European Economic Review, Elsevier, vol. 78(C), pages 97-119.
    27. Gerlinde Fellner & Rupert Sausgruber & Christian Traxler, 2013. "Testing Enforcement Strategies In The Field: Threat, Moral Appeal And Social Information," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 634-660, June.
    28. Andrew Caplin & Daniel Martin, 2016. "The Dual-Process Drift Diffusion Model: Evidence From Response Times," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1274-1282, April.
    29. Stefano DellaVigna & Ulrike Malmendier, 2006. "Paying Not to Go to the Gym," American Economic Review, American Economic Association, vol. 96(3), pages 694-719, June.
    30. Joseph Tao-yi Wang & Michael Spezio & Colin F. Camerer, 2010. "Pinocchio's Pupil: Using Eyetracking and Pupil Dilation to Understand Truth Telling and Deception in Sender-Receiver Games," American Economic Review, American Economic Association, vol. 100(3), pages 984-1007, June.
    31. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    32. Leandro S. Carvalho & Stephan Meier & Stephanie W. Wang, 2016. "Poverty and Economic Decision-Making: Evidence from Changes in Financial Resources at Payday," American Economic Review, American Economic Association, vol. 106(2), pages 260-284, February.
    33. Carpenter, Jeffrey & Graham, Michael & Wolf, Jesse, 2013. "Cognitive ability and strategic sophistication," Games and Economic Behavior, Elsevier, vol. 80(C), pages 115-130.
    34. Jonathan Levav & Mark Heitmann & Andreas Herrmann & Sheena S. Iyengar, 2010. "Order in Product Customization Decisions: Evidence from Field Experiments," Journal of Political Economy, University of Chicago Press, vol. 118(2), pages 274-299, April.
    35. Andrew Caplin & Mark Dean, 2013. "Behavioral Implications of Rational Inattention with Shannon Entropy," NBER Working Papers 19318, National Bureau of Economic Research, Inc.
    36. Brocas, Isabelle, 2012. "Information processing and decision-making: Evidence from the brain sciences and implications for economics," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 292-310.
    37. Dean Karlan & Margaret McConnell & Sendhil Mullainathan & Jonathan Zinman, 2016. "Getting to the Top of Mind: How Reminders Increase Saving," Management Science, INFORMS, vol. 62(12), pages 3393-3411, December.
    38. Young Eun Huh & Joachim Vosgerau & Carey K. Morewedge, 2014. "Social Defaults: Observed Choices Become Choice Defaults," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(3), pages 746-760.
    39. Emma Boswell Dean & Frank Schilbach & Heather Schofield, 2017. "Poverty and Cognitive Function," NBER Chapters, in: The Economics of Poverty Traps, pages 57-118, National Bureau of Economic Research, Inc.
    40. Bock, Olaf & Baetge, Ingmar & Nicklisch, Andreas, 2014. "hroot: Hamburg Registration and Organization Online Tool," European Economic Review, Elsevier, vol. 71(C), pages 117-120.
    41. Saurabh Bhargava & George Loewenstein & Justin Sydnor, 2017. "Choose to Lose: Health Plan Choices from a Menu with Dominated Option," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1319-1372.
    42. Benjamin R. Handel, 2013. "Adverse Selection and Inertia in Health Insurance Markets: When Nudging Hurts," American Economic Review, American Economic Association, vol. 103(7), pages 2643-2682, December.
    43. Bruce Ian Carlin & Simon Gervais & Gustavo Manso, 2013. "Libertarian Paternalism, Information Production, and Financial Decision Making," The Review of Financial Studies, Society for Financial Studies, vol. 26(9), pages 2204-2228.
    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. Wagner, Valentin, 2022. "Heterogeneous effects of grade framing," Labour Economics, Elsevier, vol. 74(C).
    2. Atasoy, Ayse Tugba & Madlener, Reinhard, 2020. "Default vs. Active Choices: An Experiment on Electricity Tariff Switching," FCN Working Papers 7/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

    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. Antinyan, Armenak & Asatryan, Zareh, 2019. "Nudging for tax compliance: A meta-analysis," ZEW Discussion Papers 19-055, ZEW - Leibniz Centre for European Economic Research.
    2. Muller, Paul & Habla, Wolfgang, 2018. "Experimental and non-experimental evidence on limited attention and present bias at the gym," Working Papers in Economics 743, University of Gothenburg, Department of Economics.
    3. Wolfgang Habla & Paul Muller, 2021. "Experimental evidence of limited attention at the gym," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1156-1184, December.
    4. Xavier Gabaix, 2017. "Behavioral Inattention," NBER Working Papers 24096, National Bureau of Economic Research, Inc.
    5. Steffen Altmann & Christian Traxler & Philipp Weinschenk, 2017. "Deadlines and Cognitive Limitations," CESifo Working Paper Series 6761, CESifo.
    6. Raf Van Gastel & Tim Goedemé & Julie Janssens & Eva Lefevere & Rik Lemkens, 2017. "A Reminder to Pay Less for Healthcare: take-up of Increased Reimbursement in a large-scale randomized field experiment," Working Papers 1712, Herman Deleeck Centre for Social Policy, University of Antwerp.
    7. Murooka, Takeshi & Schwarz, Marco A., 2018. "The timing of choice-enhancing policies," Journal of Public Economics, Elsevier, vol. 157(C), pages 27-40.
    8. C. Yiwei Zhang & Jeffrey Hemmeter & Judd B. Kessler & Robert D. Metcalfe & Robert Weathers, 2023. "Nudging Timely Wage Reporting: Field Experimental Evidence from the U.S. Supplemental Security Income Program," Management Science, INFORMS, vol. 69(3), pages 1341-1353, March.
    9. Mason, Richard, 2019. "Digital enrollment architecture and retirement savings decisions: Evidence from the field," Other publications TiSEM 58639618-e34e-4b5c-8c8c-a, Tilburg University, School of Economics and Management.
    10. Ha Trong Nguyen & Huong Thu Le & Luke B Connelly, 2021. "Who's declining the “free lunch”? New evidence from the uptake of public child dental benefits," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 270-288, February.
    11. Richard Domurat & Isaac Menashe & Wesley Yin, 2019. "The Role of Behavioral Frictions in Health Insurance Marketplace Enrollment and Risk: Evidence from a Field Experiment," NBER Working Papers 26153, National Bureau of Economic Research, Inc.
    12. 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.
    13. M. Kate Bundorf & Maria Polyakova & Ming Tai-Seale, 2019. "How do Humans Interact with Algorithms? Experimental Evidence from Health Insurance," NBER Working Papers 25976, National Bureau of Economic Research, Inc.
    14. Damgaard, Mette Trier & Gravert, Christina, 2018. "The hidden costs of nudging: Experimental evidence from reminders in fundraising," Journal of Public Economics, Elsevier, vol. 157(C), pages 15-26.
    15. Maya Haran Rosen & Orly Sade, 2022. "The Disparate Effect of Nudges on Minority Groups," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 11(3), pages 605-643.
    16. Damgaard, Mette Trier & Nielsen, Helena Skyt, 2018. "Nudging in education," Economics of Education Review, Elsevier, vol. 64(C), pages 313-342.
    17. Tamara Bischof & Michael Gerfin & Tobias Mueller, 2021. "Attention Please! Health Plan Choice and (In-)Attention," Diskussionsschriften dp2111, Universitaet Bern, Departement Volkswirtschaft.
    18. Altmann, Steffen & Falk, Armin & Grunewald, Andreas, 2013. "Incentives and Information as Driving Forces of Default Effects," IZA Discussion Papers 7610, Institute of Labor Economics (IZA).
    19. Kaufmann, Cornel & Müller, Tobias & Hefti, Andreas & Boes, Stefan, 2018. "Does personalized information improve health plan choices when individuals are distracted?," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 197-214.
    20. Loibl, Cäzilia & Jones, Lauren & Haisley, Emily, 2018. "Testing strategies to increase saving in individual development account programs," Journal of Economic Psychology, Elsevier, vol. 66(C), pages 45-63.

    More about this item

    Keywords

    scarcity; default options; cognitive resources; passivity; active decision-making; spillover effects;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

    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:dp12337. 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.