2019
DOI: 10.1111/iere.12382
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Estimating the Heterogeneous Welfare Effects of Choice Architecture

Abstract: We develop a method that embeds signals about consumers’ knowledge to evaluate prospective choice architecture policies. We analyze three proposals for U.S. Medicare prescription drug insurance markets: (i) menu restrictions, (ii) personalized information, and (iii) defaulting consumers to cheap plans. We link administrative and survey data to identify informed enrollment decisions that proxy for preferences of observationally similar misinformed consumers. Results suggest that each policy yields winners and l… Show more

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Cited by 8 publications
(15 citation statements)
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“…Most interventions proposed in behavioral economics seek to nudge consumers in line with the standard insurance model. But if the behavior predicted by the standard model is not beneficial for consumers, then behavioral interventions might induce a “welfare loss” for consumers (Handel, 2013; Ketcham et al, 2019; Marton et al, 2017). To further illustrate, we take the case of choice overload.…”
Section: Limitationsmentioning
confidence: 99%
“…Most interventions proposed in behavioral economics seek to nudge consumers in line with the standard insurance model. But if the behavior predicted by the standard model is not beneficial for consumers, then behavioral interventions might induce a “welfare loss” for consumers (Handel, 2013; Ketcham et al, 2019; Marton et al, 2017). To further illustrate, we take the case of choice overload.…”
Section: Limitationsmentioning
confidence: 99%
“…Our analysis allows for two sources of optimization errors: consumer misinformation about tobacco product risks (one of the product attributes) and present bias captured by the preference weights Γ i . Our calculations of the CVs that incorporate consumer optimization errors follow Leggett (2002) and Ketcham, Kuminoff and Powers (2019). 9 4 | DATA…”
Section: Welfare Expressionsmentioning
confidence: 99%
“…We further investigate the process by which Medicare beneficiaries choose prescription drug plans (PDPs). The papers closest to ours are Abaluck andGruber (2011, 2016) and Ketcham et al (2016Ketcham et al ( , 2019. Abaluck and Gruber estimate multinomial logit (MNL) models for drug plan choice, focusing on whether consumers maximize a particular utility function that embeds certain theory restrictions.…”
Section: Introductionmentioning
confidence: 99%