Screening incentives and privacy protection in financial markets: a theoretical and empirical analysis

We study a model in which firms offer financial products to individuals, post prices for their products, and screen consumers who apply to purchase them. Any information obtained in the screening process may be traded to another firm selling related products. We show that firms' ability to sell consumer information can lead to lower prices, higher screening intensities, and increased social welfare. By exploiting variations in the adoption of local financial‐privacy ordinances in five California Bay Area counties, we are able to provide simple estimates of the effects of stricter financial‐privacy laws on mortgage denial rates during 2001–2006. Consistent with the model's predictions, denial rates for home‐purchase loans and refinancing loans decreased in counties where opt‐in privacy ordinances were adopted. Moreover, estimated foreclosure start rates during the financial crisis of 2007–2008 were higher in counties where the privacy ordinance was adopted.     

Informational limitations of ascending combinatorial auctions

We study the inherent limitations of natural widely-used classes of ascending combinatorial auctions. Specifically, we show that ascending combinatorial auctions that do not use both non-linear prices and personalized prices cannot achieve social efficiency with general bidder valuations. We also show that the loss of efficiency can be severe and that only a diminishing fraction of the social welfare may be captured. This justifies the added complexity in the auctions suggested by, e.g., Parkes and Ungar (2000) [29] and Ausubel and Milgrom (2002) [2].     

Computationally-feasible truthful auctions for convex bundles

In many economic settings, like spectrum and real-estate auctions, geometric figures on the plane are for sale. Each bidder bids for his desired figure, and the auctioneer has to choose a set of disjoint figures that maximizes the social welfare. In this work, we design mechanisms that are both incentive compatible and computationally feasible for these environments. Since the underlying algorithmic problem is computationally hard, these mechanisms cannot always achieve the optimal welfare; Nevertheless, they do guarantee a fraction of the optimal solution. We differentiate between two information models—when both the desired figures and their values are unknown to the auctioneer or when only the agents' values are private data. We guarantee different fractions of the optimal welfare for each information model and for different families of figures (e.g., arbitrary convex figures or axis-aligned rectangles). We suggest using a measure on the geometric diversity of the figures for expressing the quality of the approximations that our mechanisms provide.     

Embrace the debate: Goals,de-marketing overconsumption,and conflicting information

When faced with conflicting information, consumers often wonder what the “right” consumption level is. A highly relevant context that is often associated with such uncertainty is food consumption (e.g., of meat or dairy products), where consumers seek information to determine whether and how much to consume, and often a recommended goal from health experts is to reduce overconsumption. We apply the theory of goal settings as reflecting such information, focusing on specific goals (e.g., “eat meat twice a week”) versus general goals (“eat less meat”). Based on a series of three experiments in both online and field settings with 674 participants overall, we show that in food consumption contexts with conflicting information, general goals set by health experts are less effective than specific goals in battling overconsumption. Perceived value of information was identified as the underlying mechanism as it mediated the effect of conflicting information on reduced overconsumption. Prior work suggests conflicting information is typically disadvantageous for consumers. Our research demonstrates how consumers can benefit from communication emphasizing specific goals when information conflicts. It contributes to policymakers, health experts, and social marketers that search for effective marketing strategies to reduce overconsumption of items that may be associated with conflicting information.     

The impact of access to consumer data on the competitive effects of horizontal mergers and exclusive dealing

We examine the influence of firms’ ability to employ individualized pricing on the welfare consequences of horizontal mergers. In a two‐to‐one merger, the merger reduces consumer surplus more when firms can price discriminate based on individual preferences compared to when they cannot. However, the opposite holds true in a three‐to‐two merger, in which the reduction in consumer surplus is substantially lower with individualized pricing than with uniform pricing. Further, the merger requires an even smaller marginal cost reduction to justify when an upstream data provider can make exclusive offers for its data to downstream firms. We also show that exclusive contracts for consumer data pose significant antitrust concerns independent of merger considerations. Implications for vertical integration and data mergers are drawn.