Beyond the Nudge: Behavioral Economics and Health Insurance George - - PowerPoint PPT Presentation

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Beyond the Nudge: Behavioral Economics and Health Insurance George - - PowerPoint PPT Presentation

Beyond the Nudge: Behavioral Economics and Health Insurance George Loewenstein Carnegie Mellon University Bhargava & Loewenstein 2015. Behavioral Economics and Public Policy: Beyond Nudging. American Economic Review, Paper &


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Beyond the Nudge:

Behavioral Economics and Health Insurance

George Loewenstein

Carnegie Mellon University

Bhargava & Loewenstein 2015. Behavioral Economics and Public Policy: Beyond Nudging. American Economic Review, Paper & Proceedings

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  • In 2003 two groups of behavioral economists

proposed an approach to public policy (based

  • n idea of Matthew Rabin)
  • We called it “Regulation for Conservatives” and

“Libertarian Paternalism” in part to secure support across the political spectrum  Conservatives (who oppose more substantive interventions), such as David Brooks and David Cameron, have become biggest supporters…

Camerer, C., Issacharoff, S. Loewenstein, G., O'Donoghue, T. & Rabin, M. (2003). Regulation for Conservatives: Behavioral Economics and the Case for "Asymmetric Paternalism" University of Pennsylvania Law Review, 1151(3), 1211-1254. Sunstein, C.R. and Thaler, R.H. (2003). "Behavioral Economics, Public Policy, and Paternalism: Libertarian Paternalism". American Economic Review, Papers and Proceedings, 93(2): 175 – 179.

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Much of the thrust of Behavioral Economics

  • n public policy has taken the form of ’nudges’

“A nudge, as we will use the term, is any aspect

  • f the choice architecture that alters people’s

behavior in a predictable way without forbidding any options or significantly changing their economic incentives. To count as a mere nudge, the intervention must be easy and cheap to avoid.“ Thaler and Sunstein, Nudge “I am very optimistic about the future of that work [referring to nudges], which is characterized by achieving medium-sized gains by nano- sized investments.” Daniel Kahneman; in The Daily Beast

Nudge success stories – e.g., ..

  • saving (Madrian & Shea 2001; Thaler & Benartzi 2004)
  • medicine adherence (Volpp et al. 2011)
  • parental school choice (Hasting and Weinstein 2008)
  • efficiency of home energy use (Alcott 2011)
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I’ve, personally, been doing lots of nudge- related research.. but have been having misgivings..

Loewenstein, G., Brennan, T. & Volpp, K.G. (2007). Asymmetric paternalism to improve health behaviors. Journal of the American Medical Association. 298(20), 2415-2417. Wisdom, J., Downs, J. & Loewenstein, G. (2009). Promoting Healthy Choices: Information vs. Convenience. American Economic Journal: Applied, 99(2), 159-64. Keller, P.A., Harlam, B., Loewenstein, G. & Volpp, K.G. (2011). Enhanced active choice: a new method to motivate behavior change. Journal of Consumer Psychology, 21(4), 376-383. Jue, J.J., Press, M.J, McDonald, D., Volpp, K. Asch, D.A., Mitra, N., Stanowski, A.C. & Loewenstein, G. (2012). The impact of price discounts and calorie messaging on beverage consumption: a multi-site field study. Preventive Medicine, 55, 629-533. Downs, J. S., Wisdom, J., Wansink, B., & Loewenstein, G. (2013). Supplementing Menu Labeling With Calorie Recommendations to Test for Facilitation Effects. American Journal of Public Health, 103(9), 1604-1609. Long, J.A., Jahnle, E.C., Richardson, D.M., Loewenstein, G. & Volpp, K.G. (2012). A Randomized Controlled Trial of Peer Mentoring and Financial Incentive to Improve Glucose Control in African American Veterans. Annals of Internal

  • Medicine. 156, 416-424.

Halpern, S.D., Loewenstein, G., Volpp, K.G., Cooney, E., Vranas, K. Quill, C.M., McKenzie, M.S., Harhay, M.O., Gabler, N.B., Silva, T. Arnold, R., Angus, D.C., & Bryce, C. (2013). Default Options In Advance Directives Influence How Patients Set Goals For End-Of-Life Care. Health Affairs, 32(2). Gopalan, A., Tahirovic, E., Moss, H., Troxel, A.B., Zhu, J., Loewenstein, G. & Volpp, K.G. (forthcoming). Translating the hemoglobin A1C with more easily understood feedback: A Randomized Controlled Trial. Journal of General Internal Medicine. Downs, J.S., Wisdom, J. & Loewenstein, G. (forthcoming). Helping Consumers Use Nutrition Information: Effects of Format and Presentation. American Journal of Health Economics. Loewenstein, G., Bryce, C., Hagmann, D. and Rajpal, S. (forthcoming). Warning: You Are About to be Nudged. Behavioral Science & Policy

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Are nudges band aides?

  • Bad policies/structural problems abound

– e.g., subsidizing corn (and hence corn oil and syrup) – tax-protected saving system that disproportionately benefits the affluent, who already save enough – Pay doctors fee for service, then encourage patients to engage in healthier behaviors

  • Nudges typically focus on individual shortcomings – e.g., present-bias -- as

the source of problems, which may have unintended consequences such as:

– blaming the individual for problems that are structural (e.g., obesity, low savings) – not focusing on true underlying causes

  • Nudges tend to be ‘nano-sized’ when more substantial interventions are often

called for to deal with gargantuan problems – e.g., – Income inequality – Climate change – Social and economic challenges caused by new technologies

  • Nudges may even give policy makers an excuse for not acting – palliatives

when surgery is needed  Need to continue to integrate insights from psychology, but move beyond nudges; embrace more substantial policies

Today: Illustrate these points with case of health insurance

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Typical health care plans…

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  • Clearly, a lot of thought went into

designing these plans

  • Designers wanted to incentivize

subscribers to behave in specific ways

  • But,…

– After at least an hour of scrutiny one person with a PhD in economics couldn’t figure out..

  • what the fundamental differences were

between the plans.

  • how one should behave differently

depending on which plan one chose.

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Recent research supports these concerns..

  • Two surveys with representative samples
  • f U.S. individuals who had private health

insurance

  • Tested mastery of health insurance

concepts and ability to compute costs

Loewenstein, G., Friedman, J.F., McGill, B., Ahmad, S., Beshears, J., Choi, J., Kolstad, J., Laibson, D., Madrian, B., List, J., Volpp, K.G. (2013). Consumers’ Misunderstanding

  • f Health Insurance. Journal of Health Economics. 32:850– 862
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Quick primer on health insurance

  • Premium: Plan payment (typically deducted from paycheck each month)
  • Cost-sharing features:

‒ Deductible: Expenses that must be paid out-of-pocket before coverage kicks in ‒ Copayment: Payment for each visit to the doctor or specialist ‒ Coinsurance: Share of costs for medical services covered by insurer after deductible is met ‒ Out-of-Pocket Maximum: Total cap on out-of-pocket spending after deductible

  • Many other important features – e.g., physician networks
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14% answered all 4 multiple choice questions correctly

Next, presented them with a very simplified representation of a traditional insurance plan and asked them to compute what they would pay for services

Self-perceived and actual comprehension of insurance cost-sharing concepts

(5-response multiple choice items; p of guessing correctly = 20%) Concept % who believe they know % answering correctly Deductible 97% 78% Copay 100% 72% Coinsurance 57% 34% Maximum out-of-pocket 93% 55%

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Given their lack of understanding of health insurance, do people make sensible choice between the plans they are offered?

  • Study with major US Health Retailer
  • Fortune 100 company ($100B+ revenue)
  • Over 200,000 employees
  • 50,000+ benefit eligible employees
  • Micro-Data on plan choice and spend
  • employee demographics
  • medical claims (including counterfactual claims)
  • plan choice data (PY 2009 to 2012)
  • Plan Enrollment
  • One month open enrollment (April or May) on online interface
  • Plan coverage for June 1 to May 31st of following year
  • Employees cannot change elections outside this period
  • We focus on employees with single coverage (employee only)

Bhargava & Loewenstein (forthcoming) Choosing a Health Plan: Complexity and Consequences Journal of the American Medical Association. Bhargava, Loewenstein & Sydnor (under revision, Quarterly Journal of Economics). Choose to Lose? Employee Health-Plan Decisions from a Menu with Dominated Options.

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Key feature of decision

  • Most of the plans employees could choose

were dominated – i.e., entailed higher costs regardless of medical usage  Decision provides a clean litmus test of consumer rationality

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Comprehension Check

Imagine a person who has a choice between two simple health insurance plans. Plan A has a monthly premium of $150 and a deductible of $1000 Plan B has a monthly premium of $100 and a deductible of $1500 These plans cover all costs after the deductible is met with no copay or coinsurance. Which of the following do you think is correct?

  • The person should definitely choose Plan A
  • The person should definitely choose Plan B
  • If the person expects to have very high health costs he should probably choose

Plan A

  • If the person expects to have very high health costs he should probably choose

Plan B

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Evolution of the firm’s health-insurance offerings

Primary focus for today We presented our findings to them

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Open Enrollment Interface

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21

1.5k/90/15 $1,000 $930

  • 1.5k/90/15

$750 $1,463 $250 $533 1.5k/90/15 $500 $1,568 $500 $638 1.5k/90/15 $350 $2,134 $650 $1,204 1.5k/90/25 $1,000 $761

  • 1.5k/90/25

$750 $1,377 $250 $616 1.5k/90/25 $500 $1,474 $500 $713 1.5k/90/25 $350 $2,047 $650 $1,286 1.5k/80/15 $1,000 $877

  • 1.5k/80/15

$750 $1,408 $250 $531 1.5k/80/15 $500 $1,497 $500 $620 1.5k/80/15 $350 $2,037 $650 $1,160 1.5k/80/25 $1,000 $817

  • 1.5k/80/25

$750 $1,321 $250 $504 1.5k/80/25 $500 $1,419 $500 $602 1.5k/80/25 $350 $1,957 $650 $1,140 2.5k/90/15 $1,000 $748

  • 2.5k/90/15

$750 $1,333 $250 $585 2.5k/90/15 $500 $1,455 $500 $707 2.5k/90/15 $350 $1,983 $650 $1,235 2.5k/90/25 $1,000 $656

  • 2.5k/90/25

$750 $1,235 $250 $579 2.5k/90/25 $500 $1,372 $500 $716 2.5k/90/25 $350 $1,862 $650 $1,206 Deductible Diff Moop/Coins/ Copay Deductible Premium Prem Diff 1k 2.5k/80/15 $1,000 $713

  • 2.5k/80/15

$750 $1,217 $250 $505 2.5k/80/15 $500 $1,315 $500 $602 2.5k/80/15 $350 $1,889 $650 $1,176 2.5k/80/25 $1,000 $662

  • 2.5k/80/25

$750 $1,168 $250 $506 2.5k/80/25 $500 $1,252 $500 $590 2.5k/80/25 $350 $1,808 $650 $1,146 3k/90/15 $1,000 $657

  • 3k/90/15

$750 $1,260 $250 $603 3k/90/15 $500 $1,378 $500 $722 3k/90/15 $350 $1,912 $650 $1,255 3k/90/25 $1,000 $654

  • 3k/90/25

$750 $1,173 $250 $519 3k/90/25 $500 $1,252 $500 $598 3k/90/25 $350 $1,778 $650 $1,124 3k/80/15 $1,000 $641

  • 3k/80/15

$750 $1,089 $250 $448 3k/80/15 $500 $1,152 $500 $511 3k/80/15 $350 $1,608 $650 $967 3k/80/25 $1,000 $634

  • 3k/80/25

$750 $1,038 $250 $404 3k/80/25 $500 $1,114 $500 $480 3k/80/25 $350 $1,605 $650 $971 Deductible Diff Moop/Coins/ Copay Deductible Premium Prem Diff 1k

The menu of 48 plan options

(shaded ≈ dominated on after-tax basis )

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22 0,1 0,2 0,3 0,4 0,5 0,6 500 1000 1500 2000 2500 3000 3500 4000 2000 4000 6000 8000 10000 12000 14000 Fraction with those Total Health Bills Employee Medical Spending Total Health Bills

Total Employee Spending (Prem + Out of Pocket) by Total Medical Spending

Premium for $1,000 Deductible Option Normed at $0 for Comparison [Example: $2,500 MOOP, 80% Coinsurance] $1,000 ded

Example of dominated payment schedule

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23 0,1 0,2 0,3 0,4 0,5 0,6 500 1000 1500 2000 2500 3000 3500 4000 2000 4000 6000 8000 10000 12000 14000 Fraction with those Total Health Bills Employee Medical Spending Total Health Bills

Total Employee Spending (Prem + Out of Pocket) by Total Medical Spending

Premium for $1,000 Deductible Option Normed at $0 for Comparison [Example: $2,500 MOOP, 80% Coinsurance] $1,000 ded $750 ded

Example of dominated payment schedule

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24 0,1 0,2 0,3 0,4 0,5 0,6 500 1000 1500 2000 2500 3000 3500 4000 2000 4000 6000 8000 10000 12000 14000 Fraction with those Total Health Bills Employee Medical Spending Total Health Bills

Total Employee Spending (Prem + Out of Pocket) by Total Medical Spending

Premium for $1,000 Deductible Option Normed at $0 for Comparison [Example: $2,500 MOOP, 80% Coinsurance] $1,000 ded $750 ded $500 ded

Example of dominated payment schedule

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25 0,1 0,2 0,3 0,4 0,5 0,6 500 1000 1500 2000 2500 3000 3500 4000 2000 4000 6000 8000 10000 12000 14000 Fraction with those Total Health Bills Employee Medical Spending Total Health Bills

Total Employee Spending (Prem + Out of Pocket) by Total Medical Spending

Premium for $1,000 Deductible Option Normed at $0 for Comparison [Example: $2,500 MOOP, 80% Coinsurance] $1,000 ded $750 ded $500 ded $350 ded

Example of dominated payment schedule

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26 0,1 0,2 0,3 0,4 0,5 0,6 500 1000 1500 2000 2500 3000 3500 4000 2000 4000 6000 8000 10000 12000 14000 Fraction with those Total Health Bills Employee Medical Spending Total Health Bills $1,000 ded $750 ded $500 ded $350 ded

Example of dominated payment schedule

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14% 36% 13%

0% 10% 20% 30% 40% 50% 350 500 750 1000 Not dominated Dominated

37%

Do employees choose optimally?

  • 63% of employees choose plans that are financially dominated
  • Unlikely to be due to liquidity constraints/desire for consumption smoothing:

For choice of the $500 deductible over the $1,000 deductible (36% of employees) to be explained by a preference for payroll deduction dollars vs. out-of-pocket expense dollars, employees had to be willing to pay $625 in additional premiums through payroll deductions over 12 months to avoid an additional $226 in expected out-of- pocket expenses, and a maximum of $500, over the course of the year (from $500 to $1,000)

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Which employees are most sub-optimal?

  • Typical employee in low deductible plans could have saved $400 by switching to

actuarially best plan (or otherwise equivalent $1k plan) – cost equivalent to about 40%

  • f plan premiums
  • Low earners disproportionately sort into costly plans; relative impact is highly

regressive ~40% of employees

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Exploring the causes of poor choice: Hypothetical choice experiments

  • Study 1: Search complexity
  • Study 2: Health literacy and search motivation
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EXPERIMENT 1: SEARCH COMPLEXITY

  • N = 2,317 (completed) responses,

Qualtrics panel

  • Participants choose from hypothetical

menus with actual prices – Aggressive screening question to check for attention to survey (caught 35%)

  • Enrollment complexity randomized,

between-subject, 2 x 2 x 2 design:

SHOWN HERE: Sequential Choice, Single Attribute, Monthly Premiums

  • Sequential choice vs Comparison table
  • 1 attribute (Deductible) vs 2 attributes (Deductible & MOOP)
  • Monthly vs. Annual display of premiums
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  • Comparison Choice
  • Single Attribute
  • Monthly Premiums
  • Comparison Choice
  • Two Attributes
  • Monthly Premiums
  • Comparison Choice
  • Two Attributes
  • Annual Premiums
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N = 2,317

Comparison of deductible choices: experimental vs employee field data

Pooled Experiment 1 Data Employee Sample

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Analogue to Firm Interface + Simultaneous Choice + Annualized Premium SIMPLE MENU EXPERIMENTAL CONDITIONS

Search complexity and detection of dominated plans

Share of Dominated Plan Choice

% of non-dominated choices

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EXPERIMENT 2: HEALTH LITERACY AND SEARCH MOTIVATION

  • N = 624 (completed) subjects through Qualtrics
  • Assess belief regarding possibility of “bad” options, and health literacy
  • Subjects randomized into 3 conditions (3 x 1)
  • Control: Comparison table + annualized premiums
  • “Motivation” Treatment: Information about financial consequences of choice
  • Education Treatment: Scenario-based instruction

Financial Motivation to Search

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Scenario-Based Education Intervention

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Correlation of Health Insurance Literacy, Search Motivation and Choice Quality (one attribute menu only (results for two attribute menu virtually identical))

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Literacy and search motivation and choice quality

(one attribute menu only (results for two attribute menu virtually identical))

All Respondents Low Literacy High Literacy

EXPERIMENTAL CONDITIONS

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Employees didn’t benefit at all from being given choice

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  • People don’t understand health insurance but

are required to make complex decisions – e.g.,

– Employer-sponsored (e.g., our example today) – ACA marketplaces (‘Obamacare’): average of 47 options differing on multiple dimensions – Medicare: median of 18 Advantage plans and 30 Medicare Part D plans

  • Rationale:
  • Recent theoretical work in economics suggests

that when consumers make uninformed decisions, firms likely to compete on obfuscation

– Gabaix and Laibson (2006)”shrouded attributes” – Heidhues and Kőszegi (2014) “deceptive competition” The ACA Marketplace will “offer Americans competition, choice, and

  • clout. Insurance companies will compete for business on a

transparent, level playing field, driving down costs [and] will give individuals… a choice of plans to fit their needs.” Kathleen Sebelius, Secretary of Health and Human Services

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Loewenstein, G., Friedman, J.F., McGill, B., Ahmad, S., Beshears, J., Choi, J., Kolstad, J., Laibson, D., Madrian, B., List, J., Volpp, K.G. (2013). Consumers’ Misunderstanding of Health Insurance. Journal of Health Economics. 32:850– 862

Radical simplification of health insurance is possible

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and consumers appreciate simplicity..

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Conclusions

  • Mandating a standardized insurance plan

could have benefits

– might lead insurers to compete over price and quality instead of obfuscation – no evidence that it would harm consumers

  • If standardization is infeasible, radical

simplification could still be beneficial

– It is much easier to educate someone about something that is inherently simple – Trying to explain something complicated in simple terms risks sweeping important complexities under the rug

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Nudges are ‘low hanging fruit’ But behavioral economics has a lot more to offer to policy We should embrace nudges, but we need to move beyond them