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Sludge Audits

Published online by Cambridge University Press:  06 January 2020

CASS R. SUNSTEIN*
Affiliation:
Robert Walmsley University Professor, Harvard Law School, Cambridge, MA, USA
*
*Correspondence to: Professor Cass R. Sunstein, Robert Walmsley University Professor, Harvard Law School, Cambridge, MA, USA. Email: csunstei@law.harvard.edu

Abstract

Consumers, employees, students and others are often subjected to ‘sludge’: excessive or unjustified frictions, such as paperwork burdens, that cost time or money; that may make life difficult to navigate; that may be frustrating, stigmatizing or humiliating; and that might end up depriving people of access to important goods, opportunities and services. Because of behavioral biases and cognitive scarcity, sludge can have much more harmful effects than private and public institutions anticipate. To protect consumers, investors, employees and others, firms and private and public institutions should regularly conduct Sludge Audits to catalogue the costs of sludge and to decide when and how to reduce it. Sludge often has costs far in excess of benefits, and it can hurt the most vulnerable members of society.

Type
Article
Copyright
Copyright © Cambridge University Press 2020

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References

Adler, M. (2011), Well-Being and Fair Distribution: Beyond Cost Benefit Analysis, New York: Oxford University Press.CrossRefGoogle Scholar
Akerlof, G. (1991), ‘Procrastination and obedience’, American Economic Review, 81(2): 117.Google Scholar
Akerlof, G. and Shiller, R. (2016), Phishing for Phools, Princeton: Princeton University Press.CrossRefGoogle Scholar
Allcott, H. and Kessler, J.B. (2015), ‘The welfare effects of nudges: A case study of energy use social comparisons’, NBER Working Paper No. 21671.Google Scholar
Allcott, H. and Kessler, J.B. (2019), ‘The welfare effects of nudges: a case study of energy use social comparisons’, American Economic Journal: Applied Economics, 11(1): 236276.Google Scholar
Baicker, K., Congdon, W.J. and Mullainathan, S. (2012), ‘Health insurance coverage and take-up: lessons from behavioral economics’, Millbank Quarterly, 90(1): 107134.CrossRefGoogle ScholarPubMed
Bergman, P., Lasky-Fink, J. and Rogers, T. (2018), ‘simplification and defaults affect adoption and impact of technology, but decision makers do not realize this’, Harvard Kennedy School Faculty Research Working Paper Series, Working Paper No. RWP17-021. https://ssrn.com/abstract=3233874 [https://perma.cc/YWN6-BBCJ].Google Scholar
Bettinger, E.P. et al. (2009), ‘The Role of Application Assistance and Information in College Decisions: Results from the H&R Block Fafsa Experiment’. The Quarterly Journal of Economics, 127(3): 12051242. DOI: 10.1093/qje/qjs017.CrossRefGoogle Scholar
Bhargava, S. and Manoli, D. (2015), ‘Improving take-up of tax benefits in the United States’, Abdul Latif Jameel Poverty Action Lab. https://www.povertyactionlab.org/evaluation/improving-take-tax-benefits-united-states [https://perma.cc/TPW8-XDHU].Google Scholar
Blake, T., Moshary, S., Sweeney, K. and Tadelis, S. (2018), ‘Price salience and product choice’, NBER Working Paper No. 25186.Google Scholar
Book, L., Williams, D. and Holub, K. (2018), ‘Insights from behavioral economics can improve administration of the EITC’, Virginia Tax Review, 37(2): 177242.Google Scholar
Centers for Medicare and Medicaid Services (2019), ‘Program integrity’. https://www.medicaid.gov/medicaid/program-integrity/index.html.Google Scholar
Currie, J. (2004), ‘The take up of social benefits’, NBER Working Paper No. w10488.Google Scholar
Dynarski, S., Libassi, C., Michelmore, K. and Owen, S. (2018), ‘Closing the gap: The effect of a targeted, tuition-free promise on college choices of high-achieving, low-income students’, NBER Working Paper No. 25349.Google Scholar
Edwards, M. (2007), ‘The law, marketing and behavioral economics of consumer rebates’, Stanford Journal of Law, Business, and Finance, 12(2): 362425.Google Scholar
Emens, E.F. (2015), ‘Admin’, The Georgetown Law Journal, 103(6): 14091481.Google Scholar
Emens, E.F. (2019), Life Admin: How I Learned to Do Less, Do Better, and Live More, Boston: Houghton Mifflin Harcourt.Google Scholar
Ericson, K.M. and Laibson, D. (2018), ‘Intertemporal choice’, NBER Working Paper No. 25358.Google Scholar
Gabaix, X. and Laibson, D. (2006), ‘Shrouded Attributes, Consumer Myopia, and Information Suppression in competitive markets,’ Quarterly Journal of Economics, 121(2): 505540.CrossRefGoogle Scholar
Gabaix, X. (2018), ‘Behavioral inattention’, NBER Working Paper No. 24096.Google Scholar
Goolsbee, A. (2006), ‘The ‘simple return’: Reducing America's tax burden through return-free filing’, The Brookings Institution. https://www.brookings.edu/wp-content/uploads/2016/06/200607goolsbee.pdf [https://perma.cc/C695-5YQL].Google Scholar
Gresenz, C.R., Edgington, S.E., Laugesen, M. and Escarce, J.J. (2012), ‘Take-Up of public insurance and crowd-out of private insurance under recent CHIP expansions to higher income children’, Health Services Research, 47(5): 19992011.CrossRefGoogle ScholarPubMed
Herd, P. and Moynihan, D.P. (2019), Administrative Burden: Policymaking by Other Means, New York: Russell Sage Foundation.CrossRefGoogle Scholar
Imas, A., Kuhn, M., and Mironova, V. (2016), ‘Waiting to choose’, Unpublished Manuscript, available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2880386Google Scholar
Kahneman, D. (2012), Thinking Fast and Slow, New York: Farrar, Straus and Giroux.Google Scholar
Luca, M., Malhotra, D. and Poliquin, C. (2017), ‘Handgun waiting periods reduce gun deaths’, PNAS, 114(46): 1216212165.CrossRefGoogle ScholarPubMed
Luguri, J., and Strahilewitz, L. (2019), ‘Shining a light on dark patterns,’ Unpubished Manuscript, available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3431205Google Scholar
Madrian, B.C. and Shea, D.F. (2001), ‘The power of suggestion: Inertia in 401(k) participation and savings behavior’, Quarterly Journal of Economics, 116(4): 11491188.CrossRefGoogle Scholar
Mathur, A. et al. (2019), ‘Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites,’ available at https://webtransparency.cs.princeton.edu/dark-patterns/assets/dark-patterns-v2.pdf.CrossRefGoogle Scholar
Moynihan, D., Herd, P. and Harvey, H. (2014), ‘Administrative burden: learning, psychological, and compliance costs in citizen-state interactions’, Journal of Public Administration Research and Theory, 25(1): 4369.CrossRefGoogle Scholar
Mullainathan, S. and Shafir, E. (2013), Scarcity: Why Having Too Little Means So Much, New York: Times Books/Henry Holt and Company.Google Scholar
O'Donoghue, T. and Rabin, M. (2015), ‘Present bias: lessons learned and to be learned’, American Economic Review, 105(5): 273279.CrossRefGoogle Scholar
Oliver, A. (2015), ‘Nudging, shoving, and budging: behavioural economic-informed policy’, Public Administration, 93(3), 700714.Google Scholar
Persson, P. (2018), ‘Attention manipulation and information overload’, Behavioural Public Policy, 2(1): 78106.CrossRefGoogle Scholar
Pottow, J. and Ben-Shahar, O. (2006), ‘On the stickiness of default rules’, Florida State University Law Review, 33(3): 651682.Google Scholar
Rebonato, R. (2012), Taking Liberties: A Critical Examination of Libertarian Paternalism, London: Palgrave Macmillan.Google Scholar
Regulatory Reform Team (2015), ‘Case study: Chicago licensing and permitting reform’, Data-Smart City Solutions. https://datasmart.ash.harvard.edu/news/article/case-study-chicago-licensing-and-permitting-reform-647 [https://perma.cc/X3YJ-JSLM].Google Scholar
Rekaiti, P. and Van den Bergh, R. (2000), ‘Cooling-off periods in the consumer laws of the EC member states: A Comparative Law and Economics Approach’, Journal of Consumer Policy, 23(4): 371408.CrossRefGoogle Scholar
Roberts, J.L. (2018), ‘Nudge-proof: distributive justice and the ethics of nudging’, Michigan Law Review, 116(6): 10451066.CrossRefGoogle Scholar
Social Security Administration (2019), ‘Reducing improper payments’. https://www.ssa.gov/improperpayments/.Google Scholar
Sunstein, C.R. (2013). Simpler, New York: Simon and Schuster.Google Scholar
Sunstein, C.R. (2014), ‘The regulatory lookback’, Boston University Law Review, 94(3): 579602.Google Scholar
Sunstein, C.R. (2019a), On Freedom, Princeton: Princeton University Press.Google Scholar
Sunstein, C.R. (2019b), ‘Ruining popcorn? The welfare effects of information’, Journal of Risk and Uncertainty, 58(2–3): 121142.CrossRefGoogle Scholar
Sunstein, C.R. (2019c), ‘Sludge and ordeals,’ Duke Law Journal, 68: 18431883Google Scholar
Tasoff, J. and Letzler, R. (2014), ‘Everyone believes in redemption: Nudges and overoptimism in costly task completion’, Journal of Economic Behavior and Organization, 107: 107122.CrossRefGoogle Scholar
Thaler, R.H. (2016), Misbehaving: The Making of Behavioral Economics, New York: W. W. Norton & Company.Google Scholar
Thaler, R.H. (2018), ‘Nudge, not sludge’, Science, 361(6401): 431.CrossRefGoogle Scholar
Thaler, R.H. and Sunstein, C.R. (2008), Nudge: Improving Decisions About Health, Wealth, and Happiness, New Haven: Yale University Press.Google Scholar
Thunstrom, L. (2019), ‘The welfare effects of nudges’, Judgment and Decision Making, 14(1): 1125.Google Scholar
Tor, A. (2019), ‘Nudges that should fail’, Behavioural Public Policy,Google Scholar
United States Bureau of Labor Statistics (2019), ‘Average hourly and weekly earnings of all employees on private nonfarm payrolls by industry sector, seasonally adjusted’. https://www.bls.gov/news.release/empsit.t19.htm [https://perma.cc/42WN-8CDG].Google Scholar
United States Code (2012a), ‘44 U.S.C. § 3504(c)(3) - Authority and functions of director’.Google Scholar
United States Code (2012b), ‘44 U.S.C. § 3514(a) - Responsiveness to Congress’.Google Scholar
United States Code of Federal Regulations (2003), ‘16 CFR § 429.1(a) - Rule concerning cooling-off period for sales made at homes or at certain other locations’.Google Scholar
United States Office of Management and Budget (2011), ‘Information collection budget of the United States government’. https://obamawhitehouse.archives.gov/sites/default/files/omb/inforeg/icb/2011_icb.pdf [https://perma.cc/DNM2-L85D].Google Scholar
United States Office of Management and Budget (2016), ‘Information collection budget of the United States government’. https://www.whitehouse.gov/sites/whitehouse.gov/files/omb/inforeg/inforeg/icb/icb_2016.pdf [https://perma.cc/3FYG-M93W].Google Scholar
United States Office of Personnel Management (2010), ‘Standard form 86: Questionnaire for national security positions’. https://www.opm.gov/forms/pdf_fill/sf86-non508.pdf [https://perma.cc/KB9P-JJ8D].Google Scholar
Wie, D. and Kim, H. (2015), ‘Between Calm and Passion: The Cooling-Off Period and Divorce Decisions in Korea’, Feminist Economics, 21(2): 187214.CrossRefGoogle Scholar
Xianchi, D. and Fishbach, A. (2013), ‘When Waiting to Choose Increases Patience’, Organizational Behavior and Human Decision Processes, 121(2): 256266.Google Scholar