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Behavioural Economics Workshop, OECD, Paris - 31 March 2014 - Pete Lunn
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Transcript of Behavioural Economics Workshop, OECD, Paris - 31 March 2014 - Pete Lunn
Behavioural Economics Workshop
OECD, Paris 31 March 2014
Initial example 1
• Scientific studies show that decision-makers are drawn to default options
• Companies can default consumers into additional products
• New EU Consumer Rights Directive now prohibits this
• Companies must offer an “active” choice
Initial example 2: fuel efficiency labelling
• The “MPG” illusion (Larrick and Soll, 2008)
• May distort product comparison
• New US EPA label aims to “correct” the illusion
• Possible to test empirically for effectiveness prior to adoption
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What is behavioural economics?
Dictionary definition: BE is the application of psychological insights to economic analysis. For the purposes of this review: BE is the application of the inductive scientific method to the study of economic behaviour.
Behavioural economics ≠ “nudges”
• Thaler and Sunstein (2008) – Do not deny people choices – Manipulate the context to promote better
choices, through “choice architecture” – Two initial examples are nudges – Note: they do involve some prohibition and
restrictions on choice
• This is only one way to use BE – Nudges may not be enough – BE findings can be used to support some
bans or other limits on choice – Evidence may show that a more
paternalistic policy is better – E.g. OECD recommends compulsory
second tier pension
US example: CARD Act 2009
• Credit Card Accountability Responsibility and Disclosure Act signed in May 2009
• Behavioural evidence suggests consumers: – Discount or fail to attend to potential costs – Too optimistic about avoiding fees
• New “behaviourally informed” regulations – Ban certain types of fee – Default to not honour limit-busting purchase – Calculations on bills to nudge repayments
• Early evidence suggests large consumer gains from the act – More from the bans than the nudges
• For other US examples of “empirically informed regulation” read Sunstein
• Aim is often to avoid more regulation
UK Behavioural Insights Team
• Internal unit of behavioural researchers based in the UK Cabinet Office... now “spun out”
• Designs behaviourally informed policies and conducts experiments and trials Fine collection Subsidised loft clearance
• Empirical approach integrates policymaking and evidence gathering
• Some general principles emerge
Other examples
DG SANCO Joint Research Centre
Productivity Commission
Competition and Consumer Agency iNudgeyou Swedish Consumer Agency
• Over 60 behaviourally informed policies cited in review as a whole • Many events designed to raise awareness of behavioural
principles among policymakers • Influence of BE is often implicit rather than explicit
GreeNudge Centre d’analyse stratégique
Office of Fair Trading Financial Conduct Authority
Consumer Financial Protection Bureau
Regulatory design: simplification
• Two common forms of mandated simplification: − Simplified information (product descriptions)
In US, CFPB on mortgages, student loans, cards − Simplified choices (product ranges)
In UK, OFGEM’s plans to limit energy tariffs
• Backed by evidence on “choice overload” − Complexity can reduce engagement − Complexity can result in poorer choices
• Mixed evidence of positive effects In UK, MCOB increased prices without reducing
dispersion In US, experiments found SEC “Summary Prospectus”
had little impact on mutual fund choice But in Massachusetts, standardisation of health insurance
products appears to have been effective
Regulatory design: convenience
• Decision-makers drawn to default options − Auto-enrolment into pensions
In NZ, led to greatly increased coverage In Australia, aim to get workers onto good default
policies − Organ donation
In UK, active choice required for driving licence
• Decision-makers drawn to convenient options − Make as option easy and more people take it − Small frictions can have large effects
Regulatory design: salience
• Need to get attention has long been understood Consumer warnings on cigarettes etc. In Sweden, “orange envelope” pension information
• Salience can alter impact of taxes In US, decisions affected by alcohol tax on tag or at till
• Bigger issue may be “shrouding” − Hidden charges in financial products − Drip pricing − Mandated total cost pricing − Banning “hidden fees”, e.g. Card Act
Regulatory design: debiasing
• Regulations can be designed to correct mistakes
− Mandated worked examples of compound interest − Mandated disclosure of loan default probability − Disclosure of usage information in telecoms and
energy markets
• Big issue: how to identify mistakes? − “Biases” can counterbalance − One person’s unhealthy overeating is another’s
personal choice − How do we know whether decisions after a debiasing
intervention are better than before it?
Three (related) observations on regulatory design
1. It is much easier to show a behavioural effect exists than to measure its overall impact on a market
2. With decisions over risk detriment is likely but hard to show − Gambling − Insurance markets − Financial investment risk
3. Regulators are becoming more empirical
Regulatory delivery: BE principles
• Simplification, convenience and salience relevant to good regulatory delivery too
• Conversely, complexity, inconvenience and inattention may frequently underlie breaches of regulations
• Compliance depends on perceptions of fairness – People will act against their own interests
when they perceive unfairness – Compliance may depend on whether others
are seen to comply E.g. Tax compliance experiments
• Conduct of market studies requires behavioural skills
• Empirical testing of regulations
Conclusions
• BE is increasingly employed in regulatory policymaking in many countries
− Including in exploring alternatives to rules − Especially in consumer and competition
policy
• BE suggests benefits to a more empirical approach
− Context specific research − More integration of evidence gathering
and policymaking
Thank You