Optimal pricing and quality choice of a monopolist under Knightian uncertainty

This paper analyzes a simple vertical product differentiation model with demand uncertainty and derives a risk neutral monopolist's optimal market entry timing, her optimal pricing and optimal quality choice by incorporating Knightian uncertainty, irreversibility, and flexibility in quality-enhancing investment into a continuous-time stochastic model. It is shown that an increase in Knightian uncertainty induces decreases in the optimal price, the optimal quality, and the value of undertaking the quality-enhancing investment by the monopolist. The social optimal entry timing, pricing and quality are also analyzed.     

Valuation of digital goods during the coronavirus outbreak in the United States

We examine how the Coronavirus pandemic affected consumer valuation of digital services. Governments responded to the pandemic with various forms of lockdowns and social distancing, leading to increased dependence on digital services for work, social engagement, and leisure activities. We identify consumer valuations through surveys where respondents express their reservation prices for digital services such as email, search, and social media. We compare our results to surveys done in 2016 and 2017 and find an about five-fold increase in valuations.     

A choice experiment model for beef: What US consumer responses tell us about relative preferences for food safety,country-of-origin labeling and traceability

Several food safety issues have prompted questions regarding the role of country-of-origin labeling, traceability, and food safety inspections in consumers’ perceptions of food safety and quality. The importance of origin-labeling and traceability have been discussed in the EU for some time. North American cases of mad cow disease have led to increased discussions of these topics in the US, however, relatively little research has been conducted to examine the value US consumers place on these attributes. Choice experiments were used to analyze US consumers’ relative preferences and willingness-to-pay for these meat attributes in labeled ribeye beef steaks. Relatively speaking, consumers value certification of USDA food safety inspection more than any of the other choice set attributes, including country-of-origin labeling, traceability and tenderness. As a result, indication of origin may only become a signal of enhanced quality if the source-of-origin is associated with higher food safety or quality.     

On platforms,incomplete contracts,and open source software

We analyze investment incentives for a firm A owning a software platform and an application and a firm B deciding whether to develop a new application for the platform. While B's entry helps the success of the platform, B fears ex post expropriation by A and is hence reluctant to enter and invest. We show that different platform governance structures prevalent in the Information and Communication Technology industry (integrated, proprietary, standardized, open source platform) serve to balance investment incentives for the platform and for the applications.     

On the duration of technology licensing

We model an innovator's choice of payment scheme and duration as a joint decision in a multi-period licensing game with potential future innovations and some irreversibility of technology transfer. We find that it may be optimal to license the innovation for less than the full length of the patent and that royalty contracts can be more profitable than fixed-fee licensing even in the absence of information asymmetry and risk aversion. Moreover, licensing contracts based on royalty have a longer duration than fixed-fee licenses and are more likely to be used in industries where innovations are frequent and intellectual property protection is weak. Our paper also highlights an important link between the study of technology licensing and the theory of durable goods.     

Buyer confusion and market prices

We employ a price setting duopoly experiment to examine whether buyer confusion increases market prices. Each seller offers a good to buyers who have homogeneous preferences. Sellers decide on the number of attributes of their good and set prices. The number of attributes bears no cost to the sellers and does not affect the value of the good to the buyers but adds complexity to buyers’ evaluation of the goods. The experimental results indicate that the buyers make more suboptimal choices and that prices are higher when the number of attributes of the goods is higher. Moreover, prices and profits are higher than those in a benchmark treatment with perfectly rational (robot) buyers.     

Entry into auctions: An experimental analysis

This paper investigates entry decisions into first and second-price auctions using an experimental design to extract information on willingness-to-pay to enter (WTE). We find that subjects tend to overpay to enter both auction formats. In particular, if the subjects believe they will be bidding against bidders following the risk-neutral Nash strategy, their WTE is greater than the optimal risk-neutral amount 97% of the time for first-price auctions (FPA) and 90% for second-price auctions (SPA). If they believe that they are bidding against subjects who bid as do the other subjects, they submit a WTE that is too high 92% of the time for FPA and 69% of the time for SPA. We also find, in line with previous studies, significant overbidding in both the FPA and SPA. We then investigate whether introducing risk aversion (RA) or “joy of winning” (JOY) can explain the joint observation of over-entry and overbidding. In particular, using bid data alone, we structurally estimate three models, one allowing RA only, one allowing for JOY only and one allowing for both RA and JOY. While a model with JOY alone overestimates WTE, we find that RA alone can explain 38% of WTE but a model with both RA and JOY (where RA is estimated using FPA bids, and JOY is estimated using SPA bids) can explain 65% of WTE. Moreover, JOY appears to explain nearly all of the male WTE but only 44% of the female WTE.     

Comparing predicted prices in auctions for online advertising

Online publishers sell opportunities to show ads. Some advertisers pay only if their ad elicits a user response. Publishers estimate response rates for ads in order to estimate expected revenues from showing the ads. Then publishers select ads that maximize estimated expected revenue.By taking a maximum among estimates, publishers inadvertently select ads based on a combination of actual expected revenue and inaccurate estimation of expected revenue. Publishers can increase actual expected revenue by selecting ads to maximize a combination of estimated expected revenue and estimation accuracy.     

When should a firm expand its business? : The signaling implications of business expansion

We examine an incumbent's trade-off between the improved efficiency that business expansion facilitates and the signaling role that business expansion plays in conveying information to potential entrants about the state of demand. We demonstrate that both separating and pooling equilibria survive the Intuitive Criterion. Essentially, in contrast to models with asymmetric information about unit cost, incumbents' benefits from investing in a signal are not necessarily monotonic in the state of demand. We investigate how the extent of informativeness of the outcome depends on the enhanced efficiency that the incumbent's expansion facilitates and the priors of the entrant.     

Licensing information goods

A significant amount of research on patent licensing and the diffusion of knowledge is organized around static frameworks of analysis. Patent holders, however, may face a dynamic problem, namely the intertemporal consistency problem of the durable-goods monopolist that is induced by durability on the demand side. Licensing practices such as exclusive licensing contracts and most favored customer clauses allow patentees to solve or mitigate this dynamic consistency problem. There are situations, however, where these practices are not possible either due to the nature of the patent (the case of information goods) or due to compulsory patenting laws. We study the effects of the intertemporal consistency problem on patent licensing in these situations. Relative to the existing literature, we obtain the following main results: (i) all of the firms that remain in the industry will be using the innovation; (ii) royalty licensing may be superior to fixed-fee or auction licensing from the licensor's point of view; (iii) social welfare and consumer surplus may be lower than when the patent holder can commit not to make additional sales; (iv) even for non-drastic innovations, the price of the good that is produced may be lower than the competitive price corresponding to the initial situation (before the innovation was discovered).     

What difference does dynamics make? The case of digital cameras

When the well-known BLP model is applied to products with rapid technological changes and declining prices it tends to yield implausible results. A sequence of increasingly sophisticated dynamic demand models, most recently Gowrisankaran and Rysman (2009, hereafter GR), have been developed to overcome these problems. We apply both models to new data on the US digital camera market. In addition, we demonstrate that the GR model can be specified as a BLP model plus an additional set of terms. This suggests that a dynamic model can be estimated as a BLP model plus a non-parametric function which is less computationally demanding. As a first step to implementing this semi-parametric approach we estimate a BLP model augmented with age as a proxy for the non-parametric component. We find that demand for digital cameras is more elastic when demand dynamics is accounted for in both the dynamic model and the BLP model with the age proxy. This suggests that the market is more competitive though the results are consistent with firms engaging in intertemporal price discrimination. Merger simulations predict the lowest price and quantity changes using the GR model.     

Search engines: Left side quality versus right side profits

Search engines face an interesting tradeoff in choosing the way to display their results. While providing high quality unpaid, or “left side” results attracts users, doing so can also cannibalize the revenue that comes from paid ads on the “right side”. This paper examines this tradeoff, focusing, in particular, on the role of users' post-search interaction with the websites whose links are displayed. In the model, high quality left side results boost demand from users, causing them to tolerate a search engine on which advertisers do not offer the lowest possible prices for the goods that they sell. However, because websites appearing on the left side still have an incentive to compete in the same market as advertisers, an increase in quality on the left side may reduce advertisers' equilibrium prices. I analyze the circumstances under which this will occur and discuss the model's potential implications for antitrust policy.     

Understanding pastoralists’ dynamic insurance uptake decisions: Evidence from four-year panel data in Ethiopia

Despite the demonstrated benefits of index insurance, its adoption rate remains low in many developing countries. While a growing literature explores the factors associated with insurance uptake, we still know little about its dynamic patterns. Using a unique data set covering four years and six semi-annual sales periods of an index-based livestock insurance (IBLI) product in southern Ethiopia, we examine the dynamics of pastoralists’ demand for IBLI. We find that reduced insurance premiums induce households to purchase IBLI. While a one-shot subsidy can create a price reference point that may reduce the subsequent uptake, we do not find such price-anchoring effects. We also find that overall uptake decision is positively correlated intertemporally, although there is no strong evidence for learning by doing or learning from others. Finally, we show that pastoralists are more likely to purchase IBLI when drought risk is high, consistent with the existence of spatiotemporal adverse selection. We discuss the potential of distributing discount coupons to trigger initial uptake and adjusting premium rates dynamically to avoid spatiotemporal adverse selection as effective policy tools toward sustainable livestock insurance. Overall, our study signifies the importance of an empirical analysis that considers the dynamic demand structure.     

What is the objective of professional licensing? Evidence from the US market for lawyers

According to public interest theory, professional licensing solves the lemon problem generated by asymmetric information. In contrast, the capture theory claims that licensing aims at increasing professional salaries by restricting supply. This paper shows that the two theories can be identified using data from one regulated profession and provides an empirical application to the US market for entry level lawyers. The empirical results support capture theory.