Behavioral Public Finance: Tax Design as Price Presentation

In this essay we review the evidence from marketing research about price presentation of consumer products and discuss how these lessons have been applied—consciously or unconsciously—in the design of the U.S. tax system. Our perspective is that, in most situations, the designers of the tax system attempt to minimize the perceived burden of any given amount of tax collections. We allow, though, that in certain situations an additional goal is to maximize the perceived burden of others. We also investigate how, when the objective is to encourage a particular activity, price presentation may enhance the achievement of that goal for a given amount of tax subsidy. We conclude by addressing the ethical and normative implications of price presentation in the tax system.     

Pricing of mall services in the presence of sales leakage

For a shopping mall, sales leakage occurs when consumer purchases facilitated by the mall are finalized outside it. These sales include, for example, catalog orders filled at the leased premises in a physical mall; For an Internet mall, they include the ones consumers make on an on-line store’s website after learning about the store from an Internet mall website. While these sales are difficult to track in the physical mall, Internet malls like Yahoo can track them by placing cookies on consumers when they visit the mall. The challenge for a mall owner then is to design an appropriate pricing model which takes sales leakage into account. In fact, Yahoo currently uses an All-Revenue-Share Fee with Yahoo collecting from on-line stores a share of all sales revenue, regardless of whether the purchase was made through the mall or directly from the store’s own URL. We explore this new All-Revenue-Share Fee model, compare it with the commonly used Fixed Fee model and the two-part tariff model, and identify the model with the highest profits for the mall under different conditions. We suggest that although an All-Revenue-Share Fee is appealing for Internet malls due to its ability to capture sales leakage directly, it may cause the stores to refrain from joining the mall in certain circumstances. Thus, in certain situations charging a fixed monthly fee can actually be more profitable for the mall versus the All-Revenue-Share Fee model. We also examine how mall and product category characteristics as well as market expansion affect the optimal pricing strategy. We show that a mall should price discriminate across product categories, not just by charging different amounts of fees, but by using different pricing models. Our research provides many managerial implications on how to price over time.     

Experiments on strategic choices and markets

Much of experimental research in marketing has focused on individual choices. Yet in many contexts, the outcomes of one’s choices depend on the choices of others. Furthermore, the results obtained in individual decision making context may not be applicable to these strategic choices. In this paper, we discuss three avenues for further advancing our understanding of strategic choices. First, there is a need to develop theories about how people learn to play strategic games. Second, there is an opportunity to enrich standard economic models of strategic behavior by allowing for different types of bounded rationality and by relaxing assumptions about utility formulation. These new models can help us to more accurately predict strategic choices. Finally, future research can improve marketing practice by designing better mechanisms and validating them using experiments.     

A meta-analysis of the impact of price presentation on perceived savings

Pricing is one of the most crucial determinants of sales. Besides the actual price, how the price offering is presented to consumers also affects consumer evaluation of the product offering. Many studies focus on “price framing,” i.e., how the offer is communicated to the consumer —is the offered price given along with a reference price, is the reference price plausible, is a price deal communicated in dollar or percentage terms. Other studies focus on “situational effects,” e.g., is the evaluation for a national brand or a private brand, is it within a discount store or a specialty store. In this article, a meta-analysis of 20 published articles in marketing examines the effects of price frames and situations on perceived savings. The results reveal many features that significantly influence perceived savings. For instance, while both the percent of deal and the amount of deal positively influence perceived deal savings, deal percent has more impact. Further, the presence of a regular price as an external reference price enhances the offer value of large plausible deal and implausible deals, but not of small plausible deals. Thus, high value deals should announce the regular price, but not low value deals. Overall, the results have several useful insights for designing promotions.     

The relationship between top trading cycles mechanism and top trading cycles and chains mechanism

In this paper, we show that there is a relationship between two important matching mechanisms: the Top Trading Cycles mechanism (TTC mechanism proposed by Abdulkadiroglu and Sonmez, 1999) and the Top Trading Cycles and Chains mechanism (TTCC mechanism proposed by Roth, Sonmez, and Unver, 2004). Our main result is that when a specific chain selection rule proposed by Roth et al. is used, these two mechanisms are equivalent. While the equivalence is relevant for one specific case of the TTCC mechanism, it is a particularly interesting case since it is the only version identified by Roth et al. to be both Pareto-efficient and strategy-proof.     

Dynamic Influences on Individual Choice Behavior

Research examining the process of individual decision making over time isbriefly reviewed. We focus on two major areas of work in choice dynamics:research that has examined how current choices are influenced by the historyof previous choices, and newer work examining how choices may be made toexploit expectations about options available in the future. A central themeof the survey is that if a general understanding of choice dynamics is toemerge, it will come through the development of boundedly-rational models ofdynamic problem solving that lie on the interface between economics andpsychology.     

Retailer Dynamic Pricing and Ordering Decisions: Category Management versus Brand-by-Brand Approaches

This paper provides a framework for retailer pricing and ordering decisions in a dynamic category management setting. In this regard, the key contributions of this paper are as follows. First, we develop a multi-brand ordering and pricing model that endogenizes retailer forward buying and maximizes profitability for the category. The model considers (i) manufacturer trade deals to retailers, (ii) ordering costs incurred by the retailer, (iii) retailer forward buying behavior, and (iv) both own- and cross-price effects of all the brands in the category. Second, we use this model to compare differences in ordering and pricing decisions, and in profits, resulting from using a category management versus a brand-by-brand management approach. Our approach allows us to derive implications in a dynamic setting about the impact of interdependence among the brands upon decisions on pass-through of trade deals and retailer order quantity. We show that category management results in noticeably higher profits versus brand-by-brand and cost-plus (markup) approaches. Further, our results suggest an interaction between a brand's own-price effect and its cross-price effect emerges. If the cross-price effect for a brand is low - that is, the brand takes away relatively few sales from the other brands - the retail pass-through should increase with that brand's own-price effect. On the other hand, when the cross-price effect is high, the retail pass-through decreases with the brand's own-price effect.     

Trade Effects of Anti-dumping in India: Who Benefits?

This article assesses the trade effects of anti-dumping (AD) duties levied on 177 (8-digit) products by India during the period 1994 to June 2001. A panel regression has been applied to quantify the effects of AD actions on import volumes, values, and prices. It finds that the investigation effects of AD actions are not substantial. The imposition of AD duties restrains trade (both volume and value) and raises import prices. While trade effects start dissipating in subsequent years, import prices from both named and unnamed countries rise significantly in the post-duty years. There is little evidence that trade is diverted from unnamed to named countries. Thus, the domestic industry is benefited due to the price rise. Their financial position improves at the expense of both consumers and downstream industries. Since anti-dumping is an expensive form of protection, only large and dominant producers in concentrated industries emerge as the major beneficiaries of this protection. Finally, the developing trade partner countries suffer significant import losses when named. However, the trade destruction effect is insignificant for developed countries. Even though the unit value of their imports rises, there is no evidence of decline in trade from these countries.