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Price Salience and Product Choice

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Abstract

We analyze a large-scale field experiment on StubHub.com and show that disclosing fees upfront reduces both the quantity and quality of purchases.

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... Unsurprisingly, there is evidence that dark patterns harm an individual's autonomy [10] as they trick users into deciding against their preferences, denying their choice, or making their choice more difficult. In addition, they harm consumers' welfare by generating a financial loss [25]. Dark patterns also create significant privacy harms as they lead users to share more personal data than intended. ...
... Indeed, user manipulation can take different forms and the first challenge to fight dark patterns is to be able to detect them. Many articles proposed classifications of dark patterns in various fields [2, 4-7, 13-15, 49-50], while regulators, agencies or institutions such as the European Commission, the Federal Trade Commission, the Competition & Market Authority and the OECD [9,13,15,16,[17][18][19][20][21][22][23][24][25][26][27][28] also proposed their own classifications, partially building on scholarship. These taxonomies are all different, either in their focus area, in the number of categories, or in the level of details; but they all aim at mapping existing dark pattern techniques and identifying the different ways to deceive or manipulate users. ...
... We can distinguish four major areas in the existing taxonomies: researchers in privacy [4,[7][8]50], user Experience design [2], computer sciences [5-6, 10, 46], regulators or consumer protection bodies [9,13,15,16,[17][18][19][20][21][22][23][24][25][26][27][28]. ...
Conference Paper
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Dark patterns are deceptive or manipulative interfaces that can lead users to act against their preferences or best interests. They are widely spread in the digital environment and there is multidisciplinary evidence of the individual and structural harms that they cause. In this article, we synthesize evidence of the prevalence of dark patterns, evidence of their harms, and the legal framework addressing them. Then, we propose a complementary area of research: a new taxonomy to contribute to solving the issue. We detail existing taxonomies, their main respective purposes, and we provide a gap analysis bridging human-centered principles and practitioners needs. Based on that analysis, we propose a new taxonomy to provide a usable, accessible, and sustainable tool to empower all stakeholders to take action and fight against dark patterns. In this taxonomy, we introduce the notion of fair pattern as a way to shift from a problem-oriented to a problem-solving perspective. Finally, the advantages and limitations of this taxonomy, such as the perspectives it opens as a countermeasure to solve the issue, are discussed.
... For online retailers, deliberately increasing search frictions by placing obstacles in website navigation encourages additional product search, with visitors spending more time exploring, which could improve online retailers' margins and conversions (Ngwe, Ferreira, and Teixeira 2019). Similarly, Blake et al. (2021) find that disclosing mandatory fees later in the purchase funnel leads to more purchases, and consumers tend to buy more expensive products compared to an environment where fees are disclosed upfront. This practice of fee obfuscating induces consumers to search more often and revisit other product listings. ...
... Consequently, they may have included more expensive products in their consideration set than those in the dual cue condition. The result is similar to the finding that consumers buy more expensive products when mandatory fees are hidden until the checkout page (Blake et al. 2021). In the dual cue condition, consumers tend to view price more as a financial sacrifice and less as a quality signal (Noone and McGuire 2014). ...
... In the US setting of Reiss and White (2005), prices are adjusted monthly and are non-linear in terms of the quantity consumed, while in Switzerland, they are adjusted yearly and are linear in terms of the quantity consumed. The more frequent price adjustment and the non-linear variation can generate more price salience for US households, which, according to the literature on price salience, is likely to determine a greater response to price changes (Sexton, 2015;Blake et al., 2021). ...
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An increasing number of households installing solar panels and consuming the energy thus produced raises two challenges for regulators: network financing and vertical equity. We propose alternative tariff and subsidy designs for policymakers to incentivise solar panel adoptions and guarantee that network costs are recovered, while trading off efficiency, equity, and welfare motives. We estimate a structural model of energy demand and solar panel adoption, using a unique matched dataset on energy consumption, prices, income, wealth, solar panel installations, and building characteristics for 165,000 households in Switzerland from 2008-2014. Our counterfactuals recommend the optimal solar panel installation cost subsidies and two-part energy tariffs to achieve a solar energy target. We show that, relative to installation cost subsidies, relying on marginal prices to incentivise solar panel adoptions is more cost efficient and progressive across the income distribution, but generates a larger aggregate welfare loss.
... some app developers have complained about the high commission fees on Apple's iOS ecosystem, 2 there are legislative efforts to push ride-sharing platforms to treat drivers as employees rather than as contractors, 3 and some delivery workers for grocery, restaurant food, and merchandise shopping reportedly feel squeezed by platform algorithms. 4 Many of these concerns also attribute the alleged harm to stakeholders to a lack of competition at the platform level, and these assertions have further triggered antitrust investigations and legislative efforts to regulate certain practices of platforms worldwide. ...
... 6 Equivalently, ticket taxes may be viewed through the lens of partitioned pricing as a type of "shrouded attribute" (Gabaix and Laibson 2006). To this point, FFAR also required airlines to provide more prominent links to information regarding baggage fees, which represent a clear example of partitioned pricing similar to cases considered elsewhere in the behavioral literature, such as printer ink cartridges (Gabaix and Laibson 2006), shipping costs (Hossain and Morgan 2006), or booking fees (Blake et al. 2017). Brueckner et al. (2013) examine the incentives for baggage fee unbundling and their resulting impacts on airline revenues, albeit without discussing the role of consumer inattention. ...
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We examine the impact of a January 2012 enforcement action by the US Department of Transportation that required US air carriers and online travel agents to modify their web interfaces to incorporate all ticket taxes in up-front, advertised fares. We show that the more prominent display of tax-inclusive prices is associated with significant reductions in consumer tax incidence, demand, and ticket revenues along more heavily taxed itineraries. In particular, the fraction of unit taxes that airlines passed onto consumers fell by roughly 75 cents for every dollar of tax. These results present evidence of consumer inattention in a novel institutional setting featuring quasi-experimental variation in tax salience, economically significant tax amounts, and endogenous price responses. (JEL D91, H22, H25, H31, L84, L93)
... In the context of online shopping, Ellison and Ellison (2009) show that price obfuscation strategies, such as not showing the retail price in the search results, can yield higher equilibrium profits because they give more monopoly power to firms by increasing search frictions and making consumers less informed. Similarly, Blake et al. (2017) document that obfuscation of shipping and handling fees led to a revenue boost for StubHub.com. They show that part of this effect is due to higher search costs making comparisons across substitute products more difficult. ...
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Personalized prices affect fairness concerns, and firms have incentive to invest in technology that obfuscates prices and mitigates consumers’ fairness concerns.
... Although the properties of the fragmented estimator and its bias have not been fully discussed in the existing literature, several authors have proposed approaches to alleviate the data fragmentation problem. These approaches include data linking (Abramitzky et al. 2019;see Bailey et al. 2017 for a review), experiment-based adjustments (Coey and Bailey, 2016;Koehler et al., 2016), missing data imputation (Novak et al., 2015), and aggregation at a less granular level (Rutz, Trusov and Bucklin, 2011;Blake et al., 2018). Our paper takes another step forward by comparing several prevalent solutions and proposing methods to improve the last approach. ...
Preprint
Consumers interact with firms across multiple devices, browsers, and machines; these interactions are often recorded with different identifiers for the same individual. The failure to correctly match different identities leads to a fragmented view of exposures and behaviors. This paper studies the identity fragmentation bias, referring to the estimation bias resulted from using fragmented data. Using a formal framework, we decompose the contributing factors of the estimation bias caused by data fragmentation and discuss the direction of bias. Contrary to conventional wisdom, this bias cannot be signed or bounded under standard assumptions. Instead, upward biases and sign reversals can occur even in experimental settings. We then propose and compare several corrective measures, and demonstrate their performances using an empirical application.
... Using the ratio of the estimated effects of the enforced tax rate on booking price and nights booked, we calreservation using scraped data relies on inferring that back-to-back newly-booked nights are part of a single reservation unless AirDNA can distinguish multiple reservations from review data, which may introduce measurement error. When we estimate the extensive margin effect, we find a statistically insignificant negative effect on number of reservations that is roughly half the size of our preferred estimate of the effect on nights booked 32 Note that, if the tax is not fully salient, this calculation will tend to underestimate the true price elasticity of demand (Ellison and Ellison, 2009a;Blake et al., 2018). culate the lower bound of the price elasticity of supply to be supply = γ Q /γ P = −0.361 ...
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Tax enforcement is especially costly when market participants are difficult to observe. The benefits of enforcement depend crucially on pre-enforcement compliance. We derive an upper bound on pre-enforcement compliance from the pass-through of newlyenforced taxes. Using data on Airbnb listings and the platform's voluntary collection agreements, we find that taxes are paid on, at most, 24 percent of Airbnb transactions prior to enforcement. We also find that demand for Airbnb listings is inelastic, driving three key insights: the tax burden falls disproportionately on renters, excess burden is small, and tax enforcement is relatively ineffective at reducing local Airbnb activity.
... In addition, sludge is used opportunistically by clever marketers who seek to give consumers the impression that they will receive an excellent deal but who know that consumers will not take advantage of the opportunity (Blake et al., 2018;Persson, 2018). In many cases, government officials are doing the same thing. ...
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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.
... 6 Equivalently, ticket taxes may be viewed through the lens of partitioned pricing as a type of "shrouded attribute" ( Gabaix and Laibson, 2006). To this point, FFAR also required airlines to provide more prominent links to information regarding baggage fees, which represent a clear example of partitioned pricing similar to cases considered elsewhere in the behavioral literature, such as printer ink cartridges ( Gabaix and Laibson, 2006), shipping costs (Hossain and Morgan, 2007), or booking fees ( Blake et al., 2017). Brueckner et al. (2013) examine the incentives for baggage fee unbundling and their resulting impacts on airline revenues, albeit without discussing the role of consumer inattention. ...
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We examine the impact on air travelers of an enforcement action issued by the U.S. Department of Transportation in January 2012 that required U.S. air carriers and online travel agents to incorporate all mandatory taxes and fees into their advertised fares. Exploiting cross-itinerary ticket tax variation within international city market pairs, we provide evidence that the more prominent display of tax-inclusive prices is associated with a significant reduction in tax incidence on consumers and a decline in passenger volume along more heavily-taxed itineraries. Ticket revenues are commensurately reduced. These results suggest a pronounced degree of inattention to ticket taxes prior to the introduction of full-fare advertising and reinforces the theoretical predictions and experimental findings of the literature on tax salience in a quasi-experimental context where taxes average more than $100 per ticket and where firms may engage in price-setting behavior.
... Equivalently, ticket taxes may be viewed through the lens of partitioned pricing as a type of "shrouded attribute"(Gabaix and Laibson, 2006). To this point, FFAR also required airlines to provide more prominent links to information regarding baggage fees, which represent a clear example of partitioned pricing similar to cases considered elsewhere in the behavioral literature, such as printer ink cartridges(Gabaix and Laibson, 2006), shipping costs (Hossain and Morgan, 2007), or booking fees(Blake et al., 2017).Brueckner et al. (2013) examine the incentives for baggage fee unbundling and their resulting impacts on airline revenues, albeit without discussing the role of consumer inattention.Agarwal et al. (2014) provide a methodology for measuring the effects of fee disclosure on consumer welfare with an application to baggage fees. We are not able to assess empirically the effects of FFAR with respect to baggage fees due to lack of available data. ...
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This paper evaluates a pilot program run by a company called OPOWER, previously known as Positive Energy, to mail home energy reports to residential utility consumers. The reports compare a household’s energy use to that of its neighbors and provide energy conservation tips. Using data from randomized natural field experiment at 80,000 treatment and control households in Minnesota, I estimate that the monthly program reduces energy consumption by 1.9 to 2.0 percent relative to baseline. In a treatment arm receiving reports each quarter, the effects decay in the months between letters and again increase upon receipt of the next letter. This suggests either that the energy conservation information is not useful across seasons or, perhaps more interestingly, that consumers’ motivation or attention is malleable and non-durable. I show that “profiling,” or using a statistical decision rule to target the program at households whose observable characteristics suggest larger treatment effects, could substantially improve cost effectiveness in future programs. The effects of this program provide additional evidence that non-price “nudges” can substantially affect consumer behavior.
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Traditional discrete-choice models assume buyers are aware of all products for sale. In markets where products change rapidly, the full information assumption is untenable. I present a discrete-choice model of limited consumer information, where advertising influences the set of products from which consumers choose to purchase. I apply the model to the U.S. personal computer market where top firms spend over $2 billion annually on advertising. I find estimated markups of 19% over production costs, where top firms advertise more than average and earn higher than average markups. High markups are explained to a large extent by informational asymmetries across consumers, where full information models predict markups of one-fourth the magnitude. I find that estimated product demand curves are biased toward being too elastic under traditional models. I show how to use data on media exposure to improve estimated price elasticities in the absence of micro ad data. Copyright 2008 The Econometric Society.
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Internet shopbots compare prices and services levels at competing retailers, creating a laboratory for analysing consumer choice. We analyse 20,268 shopbot consumers who select various books from 33 retailers over 69 days. Although each retailer offers a homogeneous product, we find that brand is an important determinant of consumer choice. The three most heavily branded retailers hold a $1.72 price advantage over more generic retailers in head-to-head price comparisons. In particular, we find that consumers use brand as a proxy for retailer credibility in non-contractible aspects of the product and service bundle, such as shipping reliability. Copyright 2001 by Blackwell Publishing Ltd