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Annual Review of Financial Economics

Volume 13, 2021

Consumer Protection for Financial Inclusion in Low- and Middle-Income Countries: Bridging Regulator and Academic Perspectives

Abstract

Markets for consumer financial services are growing rapidly in low- and middle-income countries and are being transformed by digital technologies and platforms. With growth and change come concerns about protecting consumers from firm exploitation due to imperfect information and contracting as well as from their own decision-making limitations. We seek to bridge regulator and academic perspectives on these underlying sources of harm and five potential problems that can result: high and hidden prices, overindebtedness, postcontract exploitation, fraud, and discrimination. These potential problems span product markets old and new and could impact micro- and macroeconomies alike. Yet there is little consensus on how to define, diagnose, or treat such problems. Evidence-based consumer financial protection will require substantial advances in theory and especially empirics, and we outline key areas for future research.

Keyword(s): consumer protection, household finance, JEL D11, JEL D12, JEL D18, JEL D81, JEL D82, JEL D83, JEL D9, JEL G21, JEL K23, JEL K31, JEL K42, JEL O12
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2021-11-01
2024-07-03
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Literature Cited

  1. Aberra A, Chemin M. 2021. Does legal representation increase investment? Evidence from a field experiment in Kenya. J. Dev. Econ. 150:May102612
     [Google Scholar]
  2. Acland D, Levy M. 2015. Naivete, projection bias, and habit formation in gym attendance. Manag. Sci. 61:1146–60
     [Google Scholar]
  3. Adams P, Guttman-Kenney B, Hayes L, Hunt S, Laibson D, Stewart N. 2018. The semblance of success in nudging consumers to pay down credit card debt Occas. Pap. 45, FCA London:
     [Google Scholar]
  4. Adams PD, Hunt S, Palmer C, Zaliauskas R. 2019. Testing the effectiveness of consumer financial disclosure: experimental evidence from savings accounts NBER Work. Pap 25718. https://ideas.repec.org/p/nbr/nberwo/25718.html
    [Google Scholar]
  5. Agarwal S, Chomsisengphet S, Lim C. 2017. What shapes consumer choice and financial products? A review. Annu. Rev. Financ. Econ. 9:127–46
     [Google Scholar]
  6. Agarwal S, Grigsby J, Hortaçsu A, Matvos G, Seru A, Yao V. 2020. Searching for approval NBER Work. Pap 27341
    [Google Scholar]
  7. Agarwal S, Qian W, Tan R 2020. Household Finance: A Functional Approach Singapore: Palgrave Macmillan
     [Google Scholar]
  8. Agent Network Accelerator 2016. Successful agent networks Res. Pap., Helix Inst. Digit. Finance. https://www.microsave.net/2017/02/09/successful-agent-networks/
    [Google Scholar]
  9. Alan S, Cemalcilar M, Karlan D, Zinman J. 2018. Unshrouding: evidence from bank overdrafts in Turkey. J. Finance 73:2481–522
     [Google Scholar]
  10. Allcott H, Kim J, Taubinsky D, Zinman J. 2021. Are high-interest loans predatory? Theory and evidence from payday lending. Rev. Econ. Stud Forthcoming
    [Google Scholar]
  11. Allcott H, Lockwood BB, Taubinsky D. 2019. Regressive sin taxes, with an application to the optimal soda tax. Q. J. Econ. 134:31557–626
     [Google Scholar]
  12. Allen J, Clark R, Houde J-F. 2018. Search frictions and market power in negotiated-price markets. J. Polit. Econ. 127:41550–98
     [Google Scholar]
  13. Anagol S, Cole S, Sarkar S 2017. Understanding the advice of commissions-motivated agents: evidence from the Indian life insurance market. Rev. Econ. Stat. 99:11–15
     [Google Scholar]
  14. Anagol S, Kim HH. 2012. The impact of shrouded fees: evidence from a natural experiment in the Indian mutual funds market. Am. Econ. Rev. 102:1576–93
     [Google Scholar]
  15. Annan F 2020a. Gender and financial misconduct: a field experiment on mobile money Work. Pap., Georgia State Univ. Atlanta: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3534762
    [Google Scholar]
  16. Annan F 2020b. Misconduct and reputation under imperfect information Work. Pap., Georgia State Univ. Atlanta: https://papers.ssrn.com/abstract=3691376
    [Google Scholar]
  17. Armstrong M, Vickers J, Zhou J. 2009. Consumer protection and the incentive to become informed. J. Eur. Econ. Assoc. 7:2–3399–410
     [Google Scholar]
  18. Bachas P, Gertler P, Higgins S, Seira E. 2021. How debit cards enable the poor to save more. J. Finance 76:41913–57
     [Google Scholar]
  19. Banerjee A. 1992. A simple model of herd behavior. Q. J. Econ. 107:3797–817
     [Google Scholar]
  20. Banerjee A, Karlan D, Zinman J. 2015. Six randomized evaluations of microcredit: introduction and further steps. Am. Econ. J. Appl. Econ. 7:11–21
     [Google Scholar]
  21. Barth S, de Jong MDT. 2017. The privacy paradox—investigating discrepancies between expressed privacy concerns and actual online behavior—a systematic literature review. Telemat. Inform. 34:71038–58
     [Google Scholar]
  22. Bartlett R, Morse A, Stanton R, Wallace N 2019. Consumer-lending discrimination in the FinTech era NBER Work. Pap 25943
    [Google Scholar]
  23. Becker G. 1957. The Economics of Discrimination Chicago: Univ. Chicago Press https://press.uchicago.edu/ucp/books/book/chicago/E/bo22415931.html
    [Google Scholar]
  24. Ben-Shahar O. 2016. The paradox of access justice, and its application to mandatory arbitration. Univ. Chicago Law Rev. 83:41755–818
     [Google Scholar]
  25. Ben-Shahar O, Schneider CE. 2011. The failure of mandated disclosure. Univ. Penn. Law Rev. 159:648–749
     [Google Scholar]
  26. Benjamin D, Cooper K, Heffetz O, Kimball M. 2020. Self-reported wellbeing indicators are a valuable complement to traditional economic indicators but are not yet ready to compete with them. Behav. Public Policy 4:2198–209
     [Google Scholar]
  27. Berkouwer SB, Dean JT. 2020. Credit and attention in the adoption of profitable energy efficient technologies in Kenya Work. Pap., Weiss Fund Res. Dev. Econ. Chicago:
     [Google Scholar]
  28. Bernheim BD, DellaVigna S, Laibson D 2018. Handbook of Behavioral Economics: Applications and Foundations, Vol. 1 Amsterdam: North Holland
     [Google Scholar]
  29. Bernheim BD, Taubinsky D. 2018. Behavioral public economics. See Bernheim, DellaVigna & Laibson 2018 381–516
  30. Bertrand M, Duflo E 2017. Field experiments on discrimination. Handbook of Field Experiments, Vol. 2 A Banerjee, E Duflo 309–93 Amsterdam: North Holland
     [Google Scholar]
  31. Bertrand M, Karlan D, Mullainathan S, Shafir E, Zinman J. 2010. What's advertising content worth? Evidence from a consumer credit marketing field experiment. Q. J. Econ. 125:1263–305
     [Google Scholar]
  32. Bertrand M, Morse A. 2011. Information disclosure, cognitive biases, and payday borrowing. J. Finance 66:61865–93
     [Google Scholar]
  33. Beshears J, Choi JJ, Laibson D, Madrian BC. 2018. Behavioral household finance. See Bernheim, DellaVigna & Laibson 2018 177–276
  34. Bharadwaj P, Jack W, Suri T. 2019. Fintech and household resilience to shocks: evidence from digital loans in Kenya NBER Work. Pap 25604. https://www.nber.org/papers/w25604
    [Google Scholar]
  35. Bird M, Longman K, Mazer R. 2020. Complaints data as a tool for consumer protection: lessons from Uganda Webinar Nov. 25. https://www.poverty-action.org/sites/default/files/presentation/IPA%20Uganda%20Complaints%20Data%20Analysis%20Webinar%20-%20Bird%20-%2020201125.pdf
    [Google Scholar]
  36. Björkegren D, Grissen D. 2018. The potential of digital credit to bank the poor. AEA Pap. Proc. 108:68–71
     [Google Scholar]
  37. Bohren JA, Haggag K, Imas A, Pope DG. 2019. Inaccurate statistical discrimination: an identification problem NBER Work. Pap 25935
    [Google Scholar]
  38. Bordalo P, Coffman K, Gennaioli N, Shleifer A. 2016. Stereotypes. Q. J. Econ. 131:41753–94
     [Google Scholar]
  39. Breza E, Kanz M, Klapper L. 2020. Learning to navigate a new financial technology: evidence from payroll accounts NBER Work. Pap 28249
    [Google Scholar]
  40. Breza E, Kinnan C. 2021. Measuring the equilibrium impacts of credit: evidence from the Indian microfinance crisis. Q. J. Econ. qjab016. https://doi.org/10.1093/qje/qjab016
    [Crossref] [Google Scholar]
  41. Buku M, Mazer R. 2017. Fraud in mobile financial services: protecting consumers, providers, and the system Brief, CGAP Washington, DC:
     [Google Scholar]
  42. Burke J, Jamison J, Karlan D, Mihaly K, Zinman J. 2020. Credit building or credit crumbling? A credit builder loan's effects on consumer behavior, credit scores and their predictive power NBER Work. Pap 26110
    [Google Scholar]
  43. Burke J, Kieffer CN, Mottola GR, Pérez-Arce F, Valdes O 2021. Can educational interventions reduce susceptibility to financial fraud? USC Schaeffer Cent. Health Policy & Econ., Evidence Base March 15. https://healthpolicy.usc.edu/evidence-base/can-educational-interventions-reduce-susceptibility-to-financial-fraud/
    [Google Scholar]
  44. Burlando A, Kuhn M, Prina S. 2020. Digital credit delivery speed and repayment rates Work. Pap., Dep. Econ., Univ. Oregon, Eugene, OR/Dep. Econ., Northeastern Univ. Boston:
     [Google Scholar]
  45. Busso M, Galiani S. 2019. The causal effect of competition on prices and quality: evidence from a field experiment. Am. Econ. J. Appl. Econ. 11:133–56
     [Google Scholar]
  46. Callen M, Isaqzadeh M, Long JD, Sprenger C. 2014. Violence and risk preference: experimental evidence from Afghanistan. Am. Econ. Rev. 104:1123–48
     [Google Scholar]
  47. Campbell J. 2016. Restoring rational choice: the challenge of consumer financial regulation. Am. Econ. Rev. 106:51–30
     [Google Scholar]
  48. Campbell J, Jackson HE, Madrian BC, Tufano P. 2011. Consumer financial protection. J. Econ. Perspect. 25:191–113
     [Google Scholar]
  49. Carvalho L, Olafsson A, Silverman D. 2020. Misfortune and mistake: the financial conditions and decision-making ability of high-cost loan borrowers Workshop Present., CEPR May 9
    [Google Scholar]
  50. CFPB 2015. Measuring financial well-being: a guide to using the CFPB Financial Well-Being Scale Guide, CFPB Washington, DC: https://www.consumerfinance.gov/data-research/research-reports/financial-well-being-scale/
    [Google Scholar]
  51. Chandrasekhar AG, Larreguy H, Xandri JP. 2020. Testing models of social learning on networks: evidence from two experiments. Econometrica 88:11–32
     [Google Scholar]
  52. Chapman J, Snowberg E, Wang S, Camerer C 2019. Loss attitudes in the U.S. population: evidence from Dynamically Optimized Sequential Experimentation (DOSE) Work. Pap., NYU/Caltech/Univ Pittsburgh:
     [Google Scholar]
  53. Charles KK, Guryan J. 2011. Studying discrimination: fundamental challenges and recent progress. Annu. Rev. Econ. 3:479–511
     [Google Scholar]
  54. Chetty R. 2015. Behavioral economics and public policy: a pragmatic perspective. Am. Econ. Rev. 105:51–33
     [Google Scholar]
  55. Cole S, Saleman Y. 2015. SKS and the AP microfinance crisis Case 212-018, Harvard Bus. Sch. Boston: https://www.hbs.edu/faculty/Pages/item.aspx?num=41007
    [Google Scholar]
  56. Corbett-Davies S, Goel S. 2018. The measure and mismeasure of fairness: a critical review of fair machine learning arXiv:1808.00023 [cs]. http://arxiv.org/abs/1808.00023
    [Google Scholar]
  57. Crouzet N, Gupta A, Mezzanotti F. 2020. Shocks and technology adoption: evidence from electronic payment systems Presented at ASSA Annu. Meet (FinTech: Adoption and Consequences) San Diego, CA: Jan. 3. https://www.aeaweb.org/conference/2020/preliminary/2033?q=eNqrVipOLS7OzM8LqSxIVbKqhnGVrJQMlWp1lBKLi_OTgRwlHaWS1KJcXAgrJbESKpSZmwphlWWmloO0FxUUXDAFTA1AegsS01Mh5lwwXDBunx4U
    [Google Scholar]
  58. Cuesta JI, Sepúlveda A. 2019. Price regulation in credit markets: a trade-off between consumer protection and credit access Work. Pap., Dep. Econ., Stanford Univ., Stanford, CA/Bancos Inst. Financ Chile:
     [Google Scholar]
  59. D'Acunto F, Prabhala N, Rossi AG. 2019. The promises and pitfalls of robo-advising. Rev. Financ. Stud. 32:51983–2020
     [Google Scholar]
  60. Davidson N, Leishman P. 2012. Building, incentivising and managing a network of mobile money agents: a handbook for mobile network operators Handb., GSMA London: gsma.com/mobilefordevelopment/wp-content/uploads/2011/02/Agent-Networks-full.pdf
    [Google Scholar]
  61. De Giorgi G, Drenik A, Seira E. 2020. The extension of credit and sequential banking externalities Work. Pap., GSEM, Univ. Geneva/Columbia Univ./ITAM/Hoover Inst., Stanford Univ.
     [Google Scholar]
  62. Demirgüç-Kunt A, Karacaovali B, Laeven L. 2005. Deposit insurance around the world : a comprehensive database Policy Res. Work. Pap. 3628, World Bank https://openknowledge.worldbank.org/bitstream/handle/10986/8226/wps36280rev.pdf?sequence=1&isAllowed=y
    [Google Scholar]
  63. Demirgüç-Kunt A, Klapper L, Singer D, Ansar S, Hess JR. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution Washington, DC: World Bank
     [Google Scholar]
  64. Demirgüç-Kunt A, Klapper L, Singer D, Van Oudheusden P. 2015. The Global Findex Database 2014: measuring financial inclusion around the world Policy Res. Work. Pap. 7255, World Bank
     [Google Scholar]
  65. di Castri S, Grasser M, Kulenkampff A. 2020. A chatbot application and complaints management system for the Bangko Sentral Ng Pilipinas (BSP): R2A project retrospective and lessons learned Rep., BSP/R2A Manila: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3596268
    [Google Scholar]
  66. Di Maggio M, Kalda A, Yao V. 2020. Second chance: life without student debt Work. Pap., Harvard Bus. Sch./Indiana Univ./Georgia State Univ https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3376245
    [Google Scholar]
  67. Dobbie W, Liberman A, Paravisini D, Pathania V. 2021. Measuring bias in consumer lending. Rev. Econ. Stud rdaa078. https://doi.org/10.1093/restud/rdaa078
    [Crossref] [Google Scholar]
  68. Dobbie W, Song J. 2015. Debt relief and debtor outcomes: measuring the effects of consumer bankruptcy protection. Am. Econ. Rev. 105:31272–311
     [Google Scholar]
  69. Dobbie W, Song J. 2020. Targeted debt relief and the origins of financial distress: experimental evidence from distressed credit card borrowers. Am. Econ. Rev. 110:4984–1018
     [Google Scholar]
  70. Donnelly G, Lamberton C, Bush S, Chance Z, Norton M 2020. “Repayment-by-purchase” helps consumers to reduce credit card debt Work. Pap. 21-060, Harvard Bus. Sch. Boston:
     [Google Scholar]
  71. Duarte F, Hastings JS. 2012. Fettered consumers and sophisticated firms: evidence from Mexico's privatized social security market NBER Work. Pap 18582
    [Google Scholar]
  72. Dupas P, Green S, Keats A, Robinston J 2016. Challenges in banking the rural poor: evidence from Kenya's Western Province. African Successes, Vol. 3: Modernization and Development S Edwards, S Johnson, DN Weil 63–101 Chicago/London: Univ. Chicago Press
     [Google Scholar]
  73. Dupas P, Karlan D, Robinson J, Ubfal D 2018. Banking the unbanked? Evidence from three countries. Am. Econ. J. Appl. Econ. 10:2257–97
     [Google Scholar]
  74. EFInA 2018. Access to Financial Services in Nigeria survey Survey, EFInA, Lagos Nigeria: https://www.efina.org.ng/our-work/research/access/
    [Google Scholar]
  75. Ellison G, Ellison SF. 2009. Search, obfuscation, and price elasticities on the Internet. Econometrica 77:2427–52
     [Google Scholar]
  76. Estache A, Wren-Lewis L. 2009. Toward a theory of regulation for developing countries: following Jean-Jacques Laffont's lead. J. Econ. Lit. 47:3729–70
     [Google Scholar]
  77. Fekrazad A. 2020. Impacts of interest rate caps on the payday loan market: evidence from Rhode Island. J. Bank. Finance 113:April105750
     [Google Scholar]
  78. Ferrari A, Masetti O, Ren J. 2018. Interest rate caps: the theory and the practice Policy Res. Pap. 8398, World Bank Washington, DC: https://openknowledge.worldbank.org/handle/10986/29668
    [Google Scholar]
  79. FSD Kenya 2019. The 2019 FinAccess Household Survey Rep., FSD Kenya Nairobi: https://www.fsdkenya.org/blogs-publications/publications/the-2019-finaccess-household-survey/
    [Google Scholar]
  80. Fuster A, Goldsmith-Pinkham P, Ramadorai T, Walther A 2020. Predictably unequal? The effects of machine learning on credit markets Work. Pap., Swiss Natl. Bank/CEPR/Fed. Res. Bank NY/Imperial Coll London/ECGI:
     [Google Scholar]
  81. Gabaix X. 2019. Behavioral inattention. Handbook of Behavioral Economics: Applications and Foundations, Vol. 2 BD Bernheim, S DellaVigna, D Laibson 261–343 Amsterdam: North Holland
     [Google Scholar]
  82. Gabaix X, Laibson D. 2006. Shrouded attributes, consumer myopia, and information suppression in competitive markets. Q. J. Econ. 121:2505–40
     [Google Scholar]
  83. Gabaix X, Laibson D, Li D, Li H, Resnick S, de Vries CG. 2016. The impact of competition on prices with numerous firms. J. Econ. Theory 165:Sept1–24
     [Google Scholar]
  84. Galenianos M, Gavazza A. 2019. Regulatory interventions in consumer financial markets: the case of credit cards Discuss. Pap. 13807, CEPR https://ideas.repec.org/p/cpr/ceprdp/13807.html
    [Google Scholar]
  85. Galiani S, Gertler P, Navajas-Ahumada C. 2020. Trust and saving in financial institutions NBER Work. Pap 26809
    [Google Scholar]
  86. Giné X, Cuellar CM, Mazer RK. 2017. Information disclosure and demand elasticity of financial products: evidence from a multi-country study Policy Res. Work. Pap. 8210, World Bank Washington, DC: https://ideas.repec.org/p/wbk/wbrwps/8210.html
    [Google Scholar]
  87. Giné X, Mazer RK. 2021. Financial (dis-)information: evidence from a multi-country audit study Work. Pap., World Bank Washington, DC:
     [Google Scholar]
  88. Gomes F, Haliassos M, Ramadorai T. 2021. Household finance. J. Econ. Lit 59:3919–1000
     [Google Scholar]
  89. Greenwood R, Scharfstein D. 2013. The growth of finance. J. Econ. Perspect. 27:23–28
     [Google Scholar]
  90. Grubb M. 2015. Failing to choose the best price: theory, evidence, and policy. Rev. Ind. Organ. 47:3303–40
     [Google Scholar]
  91. GSMA 2020. The mobile gender gap report 2020 Rep., GSMA London: https://www.gsma.com/r/gender-gap/
    [Google Scholar]
  92. Gubbins P. 2019. Digital credit in Kenya: facts and figures from FinAccess 2019 Focus Note, FSD Kenya Nairobi: https://fsdkenya.org/publication/focus-note-digital-credit-in-kenya/
    [Google Scholar]
  93. Haendler C, Heimer R. 2021. The financial restitution gap in consumer finance: insights from complaints filed with the CFPB Work. Pap., Boston Coll Boston:
     [Google Scholar]
  94. Hastings J, Hortaçsu A, Syverson C. 2017. Sales force and competition in financial product markets: the case of Mexico's social security privatization. Econometrica 85:61723–61
     [Google Scholar]
  95. Heidhues P, Kőszegi B. 2018. Behavioral industrial organization. See Bernheim, DellaVigna & Laibson 2018 517–612
  96. Higgins S. 2020. Financial technology adoption Work. Pap., Northwestern Univ. Evanston, IL:
     [Google Scholar]
  97. Hofstetter M, Mejía D, Rosas JN, Urrutia M. 2018. Ponzi schemes and the financial sector: DMG and DRFE in Colombia. J. Bank. Finance 96:Novemb.18–33
     [Google Scholar]
  98. Horn S, Jamison J, Karlan D, Zinman J. 2021. Does lasting behavior change require knowledge change? Evidence from savings interventions for young adults NBER Work. Pap 28011
    [Google Scholar]
  99. Izaguirre JC. 2020. Making consumer protection regulation more customer-centric Work. Pap., CGAP Washington, DC:
     [Google Scholar]
  100. Jayachandran S. 2015. The roots of gender inequality in developing countries. Annu. Rev. Econ. 7:63–88
     [Google Scholar]
  101. Johnson EJ, Meier S, Toubia O. 2019. What's the catch? Suspicion of bank motives and sluggish refinancing. Rev. Financ. Stud. 32:2467–95
     [Google Scholar]
  102. Kaiser T, Lusardi A, Menkhoff L, Urban C. 2020. Financial education affects financial knowledge and downstream behaviors NBER Work. Pap 27057
    [Google Scholar]
  103. Kantar InterMedia 2016. Financial inclusion insights data 2016 Survey, Kantar InterMedia Washington, DC: http://finclusion.org/data_fiinder/
    [Google Scholar]
  104. Karlan D, Mullainathan S, Roth BN. 2019. Debt traps? Market vendors and moneylender debt in India and the Philippines. Am. Econ. Rev. Insights 1:127–42
     [Google Scholar]
  105. Karlan D, Osman A, Zinman J. 2018. Dangers of a double-bottom line: A poverty targeting experiment misses both targets NBER Work. Pap 24379
    [Google Scholar]
  106. Karlan D, Ratan AL, Zinman J. 2014. Savings by and for the poor: a research review and agenda. Rev. Income Wealth 60:136–78
     [Google Scholar]
  107. Karlan D, Zinman J. 2010. Expanding credit access: using randomized supply decisions to estimate the impacts. Rev. Financ. Stud. 23:1433–64
     [Google Scholar]
  108. Karlan D, Zinman J. 2019. Long-run price elasticities of demand for credit: evidence from a countrywide field experiment in Mexico. Rev. Econ. Stud. 86:41704–46
     [Google Scholar]
  109. Kremer M, Rao G, Schilbach F 2019. Behavioral development economics. Handbook of Behavioral Economics: Applications and Foundations, Vol. 2 BD Bernheim, S DellaVigna, D Laibson 345–458 Amsterdam: North Holland
     [Google Scholar]
  110. Laibson D, Maxted P, Moll B. 2020. Present bias amplifies the household balance-sheet channels of macroeconomic policy Work. Pap., Harvard Univ./London Sch. Econ.
     [Google Scholar]
  111. Laibson D, Repetto A, Tobacman J. 2007. Estimating discount functions with consumption choices over the lifecycle NBER Work. Pap 13314
    [Google Scholar]
  112. Li D, Raymond L, Bergman P. 2020. Hiring as exploration NBER Work. Pap 27736
    [Google Scholar]
  113. Loewenstein G, Sunstein CR, Golman R. 2014. Disclosure: Psychology changes everything. Annu. Rev. Econ. 6:391–419
     [Google Scholar]
  114. Lusardi A, de Bassa Scheresberg C. 2013. Financial literacy and high-cost borrowing in the United States NBER Work Pap 18969
    [Google Scholar]
  115. Lusardi A, Tufano P. 2015. Debt literacy, financial experiences, and overindebtedness. J. Pension Econ. Finance 14:4332–68
     [Google Scholar]
  116. Maimbo SM, Gallegos CAH. 2014. Interest rate caps around the world: still popular, but a blunt instrument Policy Res. Pap. 7070, World Bank Washington, DC:
     [Google Scholar]
  117. Matiwane Z. 2019. EFF calls for probe into “racism by banks” after television exposé. Times Live South Africa March 12. https://www.timeslive.co.za/politics/2019-03-12-eff-calls-for-probe-into-racism-by-banks-after-television-expos/
    [Google Scholar]
  118. Mazer R, Madrid-Morales D, Tully M 2020. Social media as a tool for consumer protection monitoring Presented at the Innovations for Poverty Action Consumer Protection Practitioner's Forum, Sept. 29. https://www.poverty-action.org/event/ipas-consumer-protection-research-initiative-holds-first-practitioner%E2%80%99s-forum-meeting
    [Google Scholar]
  119. Mazer R, Onchieku D. 2019. Did you see my tweet? Monitoring financial consumer protection via social media Artic., FSD Kenya Nairobi: https://fsdkenya.org/publication/did-you-see-my-tweet-monitoring-financial-consumer-protection-via-social-media/
    [Google Scholar]
  120. Meager R. 2019. Understanding the average impact of microcredit expansions: a Bayesian hierarchical analysis of seven randomized experiments. Am. Econ. J. Appl. Econ. 11:157–91
     [Google Scholar]
  121. Meager R. 2020. Aggregating distributional treatment effects: a Bayesian hierarchical analysis of the microcredit literature Work. Pap., London Sch. Econ. London:
     [Google Scholar]
  122. Meier S, Sprenger C. 2010. Present-biased preferences and credit card borrowing. Am. Econ. J. Appl. Econ. 2:1193–210
     [Google Scholar]
  123. Mian A, Sufi A. 2018. Finance and business cycles: the credit-driven household demand channel. J. Econ. Perspect. 32:331–58
     [Google Scholar]
  124. Montoya AM, Parrado E, Solís A, Undurraga R. 2020. Bad taste: gender discrimination in the consumer credit market Work. Pap. 1053, Inter-Am. Dev. Bank
     [Google Scholar]
  125. Morawczynski O. 2015. Fraud in Uganda: how millions were lost to internal collusion. CGAP Blog March
    [Google Scholar]
  126. Morse A, Pence K. 2020. Technological innovation and discrimination in household finance Finance Econ. Discuss. Ser. Pap., Fed. Res.
     [Google Scholar]
  127. Mowl AJ, Boudot C. 2015. Barriers to basic banking: results from an audit study in South India Study, Krea Univ./IMFR Soc./NSE https://ifmrlead.org/barriers-to-basic-banking-results-from-an-audit-study-in-south-india/
    [Google Scholar]
  128. Mullainathan S, Shafir E 2013. Scarcity: Why Having Too Little Means So Much. New York: Times Books
     [Google Scholar]
  129. Muris TJ. 2002. The interface of competition and consumer protection Presented at Annu. Conf. Int. Antitrust Law Policy, 29th, Fordham Corp. Law Inst New York: Oct. 31. https://www.ftc.gov/sites/default/files/documents/public_statements/interface-competition-and-consumer-protection/021031fordham.pdf
    [Google Scholar]
  130. Pandey A, Caliskan A. 2020. Iterative effect-size bias in ridehailing: measuring social bias in dynamic pricing of 100 million rides arXiv:2006.04599 [cs]. http://arxiv.org/abs/2006.04599
    [Google Scholar]
  131. Pennycook G, Rand DG. 2020. The cognitive science of fake news PsyArXiv. https://psyarxiv.com/ar96c/
    [Google Scholar]
  132. Rysman M. 2009. The economics of two-sided markets. J. Econ. Perspect. 23:3125–43
     [Google Scholar]
  133. Sadka J, Seira E, Woodruff C. 2018. Information and bargaining through agents: experimental evidence from Mexico's labor courts NBER Work. Pap 25137
    [Google Scholar]
  134. Sambasivan N, Batool A, Ahmed N, Matthews T, Thomas K et al. 2019.. “ They don't leave us alone anywhere we go”: gender and digital abuse in South Asia. CHI 2019 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow Scotland: May 4–9), Pap. 2. https://storage.googleapis.com/pub-tools-public-publication-data/pdf/acf12158ab313c1e9d80b87ede065254f64ad9a7.pdf
    [Google Scholar]
  135. Sapienza P, Zingales L. 2012. A trust crisis. Int. Rev. Finance 12:2123–31
     [Google Scholar]
  136. Schechter L. 2007. Traditional trust measurement and the risk confound: an experiment in rural Paraguay. J. Econ. Behav. Organ. 62:2272–92
     [Google Scholar]
  137. Schmulow A. 2020. Consumer financial well-being in South Africa's Twin Peaks regulatory regime: from measurement, to confidence in outcomes. Int. Rev. Financ. Consum. 5:21–11
     [Google Scholar]
  138. Seira E, Elizondo A, Laguna-Müggenburg E. 2017. Are information disclosures effective? Evidence from the credit card market. Am. Econ. J. Econ. Policy 9:1277–307
     [Google Scholar]
  139. Singh A, Prasad S. 2020. Artificial intelligence in digital credit in India. Blog post Dvara Res April 13. https://www.dvara.com/blog/2020/04/13/artificial-intelligence-in-digital-credit-in-india/
    [Google Scholar]
  140. Singh M. 2017. Rs 167cr deposited in Airtel Bank without “consent” of 31L users. Article Times India Dec. 18. https://timesofindia.indiatimes.com/business/india-business/rs-167cr-deposited-in-airtel-bank-without-consent-of-31l-users/articleshow/62111310.cms
    [Google Scholar]
  141. Skiba P, Tobacman J. 2018. Payday loans, uncertainty, and discounting: explaining patterns of borrowing, repayment, and default Work. Pap., Vanderbilt Univ. Nashville, TN:
     [Google Scholar]
  142. Stango V, Zinman J. 2009. Exponential growth bias and household finance. J. Finance 64:62807–49
     [Google Scholar]
  143. Stango V, Zinman J. 2011. Fuzzy math, disclosure regulation, and credit market outcomes: evidence from truth-in-lending reform. Rev. Financ. Stud. 24:2506–34
     [Google Scholar]
  144. Stango V, Zinman J. 2020a. Behavioral biases are temporally stable NBER Work. Pap 27860
    [Google Scholar]
  145. Stango V, Zinman J 2020b. We are all behavioral, more or less: a taxonomy of consumer decision making NBER Work. Pap 28138
    [Google Scholar]
  146. Suri T. 2017. Mobile money. Annu. Rev. Econ. 9:497–520
     [Google Scholar]
  147. Tarozzi A, Mahajan A, Blackburn B, Kopf D, Krishnan L, Yoong J. 2014. Micro-loans, insecticide-treated bednets, and malaria: evidence from a randomized controlled trial in Orissa, India. Am. Econ. Rev. 104:71909–41
     [Google Scholar]
  148. Temin P, Voth H-J. 2008. Interest rate restrictions in a natural experiment: loan allocation and the change in the usury laws in 1714. Econ. J. 118:528743–58
     [Google Scholar]
  149. Tirole J, Rendall S. 2017. Economics for the Common Good Princeton, NJ: Princeton Univ. Press
     [Google Scholar]
  150. Toronto Centre 2019. Supervising fintech to promote financial inclusion TC Notes, Toronto Centre Toronto, Ont., Can: https://res.torontocentre.org/guidedocs/Supervising%20FinTech%20to%20Promote%20Financial%20Inclusion.pdf
    [Google Scholar]
  151. Unnikrishnan S, Larson J, Pinpradab B, Brown R 2019. How mobile money agents can expand financial inclusion Artic., Febr. 14. Boston Consult. Group Boston: https://www.bcg.com/en-us/publications/2019/how-mobile-money-agents-can-expand-financial-inclusion
    [Google Scholar]
  152. Waldman AE. 2018. Privacy as Trust: Information Privacy for an Information Age Cambridge, UK: Cambridge Univ. Press. , 1st ed..
     [Google Scholar]
  153. West J, Bhattacharya M. 2016. Intelligent financial fraud detection: a comprehensive review. Comput. Secur. 57:March47–66
     [Google Scholar]
  154. World Bank 2017. Global Financial Inclusion and Consumer Protection (FICP) Survey Rep., World Bank Washington, DC:
     [Google Scholar]
  155. World Bank 2019. Global ID coverage, barriers, and use by the numbers: an in-depth look at the 2017 ID4D-Findex Survey Rep., World Bank Washington, DC: https://openknowledge.worldbank.org/handle/10986/33430
    [Google Scholar]
  156. World Bank Group 2017. Good Practices for Financial Consumer Protection Washington, DC: World Bank
     [Google Scholar]
  157. Zinman J. 2014. Consumer credit: too much or too little (or just right)?. J. Leg. Stud. 43:Suppl. 2209–37
     [Google Scholar]
  158. Zinman J. 2015. Household debt: facts, puzzles, theories, and policies. Annu. Rev. Econ. 7:251–76
     [Google Scholar]
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