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Conference Sessions - Jesse H. Jones Graduate School of ...

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2 - Determining Consumers’ Discount Rates with Field Studies<br />

Song Yao, Northwestern University, Kellogg <strong>School</strong> <strong>of</strong> Management,<br />

Evanston, IL, United States <strong>of</strong> America,<br />

s-yao@kellogg.northwestern.edu, Carl Mela, Jeongwen Chiang,<br />

Yuxin Chen<br />

Because utility/pr<strong>of</strong>its, state transitions and discount rates are confounded in dynamic<br />

models, discount rates are typically fixed to estimate the other two factors. Yet these<br />

rate choices, if misspecified, generate poor forecasts and policy prescriptions. Using a<br />

field study wherein cellphone users transitioned from a linear to three-part tariff<br />

pricing plan, we estimate a dynamic structural model <strong>of</strong> minute usage and obtain<br />

discount factors that would normally be unidentifiable. The identification rests upon<br />

imputing the utility under linear pricing plans without dynamic structure; then using<br />

these utilities to identify discount rates when consumers were switched to a threepart<br />

tariff where dynamics became material. We find that the estimated segment-level<br />

weekly discount factors (0.86 and 0.91) are much lower than the value typically<br />

assumed in empirical research (0.995). When using a standard 0.995 discount rate,<br />

we find the price coefficients are underestimated by 23%. Moreover, the predicted<br />

intertemporal substitution pattern and demand elasticities are biased, leading to a<br />

27% deterioration in model fit; and sub-optimal pricing recommendations that would<br />

lower potential revenue gains by 74-88%.<br />

3 - Does AMD Spur Intel to Innovate More?<br />

Ronald Goettler, University <strong>of</strong> Chicago, Booth <strong>School</strong> <strong>of</strong> Business,<br />

Chicago, IL, United States <strong>of</strong> America,<br />

ronald.goettler@chicagobooth.edu, Brett Gordon<br />

We propose and estimate a model <strong>of</strong> dynamic oligopoly with durable goods and<br />

endogenous innovation to examine the relationship between market structure and<br />

the evolution <strong>of</strong> quality. Firms make dynamic pricing and investment decisions while<br />

taking into account the dynamic behavior <strong>of</strong> consumers who anticipate the product<br />

improvements and price declines. The distribution <strong>of</strong> currently owned products is a<br />

state variable that affects current demand and evolves endogenously as consumers<br />

make replacement purchases. Our work extends the dynamic oligopoly framework <strong>of</strong><br />

Ericson and Pakes~(1995) to incorporate durable goods. We propose an alternative<br />

approach to bounding the state space that is less restrictive <strong>of</strong> frontier firms and yields<br />

an endogenous long-run rate <strong>of</strong> innovation. We estimate the model for the PC<br />

microprocessor industry and perform counterfactual simulations to measure the<br />

benefits <strong>of</strong> competition. Consumer surplus is 2.8 percent higher ($2.8 billion per<br />

year) with AMD than if Intel were a monopolist. Innovation, however, would be<br />

higher without AMD present. Counterfactuals reveal that consumer surplus can<br />

actually increase as the market moves toward monopoly, which suggests<br />

policymakers ought to consider the dynamic trade-<strong>of</strong>f lower current consumer<br />

surplus from higher prices for higher future surplus from more innovation.<br />

Comparative statics reveal that competition does induce higher innovation if<br />

consumers have su¢ ciently high preferences for quality and low price sensitivity or if<br />

depreciation <strong>of</strong> the durable good reduces the degree to which a monopolist competes<br />

with itself over time.<br />

4 - Dynamics <strong>of</strong> Pricing Strategy and Repositioning Costs<br />

Paul Ellickson, University <strong>of</strong> Rochester, Simon <strong>School</strong> <strong>of</strong> Business,<br />

Rochester, NY, United States <strong>of</strong> America,<br />

paul.ellickson@simon.rochester.edu, Sanjog Misra, Harikesh Nair<br />

We measure the cost to retailers <strong>of</strong> changing pricing formats in oligopolistic retail<br />

markets. The choice <strong>of</strong> pricing strategy is a signficant, but to our knowledge,<br />

unquantified, determinant <strong>of</strong> price-stickiness. For example, adopting an Everyday<br />

Low Pricing (EDLP) strategy could have significant effects on long-run market<br />

structure, as these firms tend to stick to an initially chosen pricing format for years, if<br />

not decades, to avoid incurring adjustment costs. This could be an important source<br />

<strong>of</strong> price rigidity. We exploit a unique dataset containing the pricing-format decisions<br />

<strong>of</strong> all supermarkets in the U.S to measure format-switching costs. The data contain<br />

the format-change decisions <strong>of</strong> supermarkets in response to a large shock to their<br />

local market positions: the entry <strong>of</strong> WalMart. We exploit the price-format responses<br />

<strong>of</strong> supermarkets to WalMart’s entry and infer the repositioning cost using a “revealedpreference”<br />

argument similar to the spirit <strong>of</strong> Breshnahan & Reiss (1990). The<br />

interaction between players in a market is modeled as a dynamic discrete game. We<br />

find evidence that suggests that the entry patterns <strong>of</strong> WalMart had a significant<br />

impact on the costs and incidence <strong>of</strong> switching pricing strategy. Our results add to the<br />

marketing literature on the organization <strong>of</strong> retail markets, and to a new literature<br />

that discusses implications <strong>of</strong> marketing pricing decisions for macroeconomic policy.<br />

MARKETING SCIENCE CONFERENCE – 2011 FC09<br />

57<br />

■ FC09<br />

Founders III<br />

Retailing IV: Competition<br />

Contributed Session<br />

Chair: Aharon Hibshoosh, Pr<strong>of</strong>essor, San Jose State University and Lincoln<br />

University, One Washington Square, San Jose CA 95192,<br />

401 15th Street, Oakland, CA 94612, Oakland, CA, 94612,<br />

United States <strong>of</strong> America, rhibshoosh@gmail.com<br />

1 - Product Variety Decision: When Specialty Stores Meet with<br />

Big-box Retailers<br />

Jiong Sun, Assistant Pr<strong>of</strong>essor, Illinois Institute <strong>of</strong> Technology,<br />

565 W Adams St., Chicago, IL, 60661, United States <strong>of</strong> America,<br />

jiongs@gmail.com, Tao Chen<br />

Specialty stores carry more varieties in a particular category, while big-box retailers<br />

carry fewer varieties with price advantages. When consumers are unsure about their<br />

taste about different varieties, visiting specialty stores <strong>of</strong>fers consumers an<br />

opportunity to inspect the varieties and resolve their uncertainty. Offering more<br />

varieties may encourage more low-valuation consumers to evaluate and buy the<br />

product from the specialty store, but may also intensify the price competition with<br />

the big box retailer which enjoys high cost efficiency. In this paper, we examine<br />

product variety decisions <strong>of</strong> specialty stores when facing competition from big-box<br />

retailers. We find that consumers’ transaction cost and valuation heterogeneity play<br />

an important role.<br />

2 - Variety and Cost Pass-through Among Supermarket Retailers<br />

Timothy Richards, Morrison Pr<strong>of</strong>essor, Arizona State University, 7171<br />

E Sonoran Arroyo Mall, Mesa, AZ, 85212, United States <strong>of</strong> America,<br />

trichards@asu.edu, Stephen Hamilton, William Allender<br />

The extent to which wholesale price changes are reflected in retail prices is an issue<br />

<strong>of</strong> critical importance to manufacturers. Theoretical models <strong>of</strong> cost pass-through in<br />

both the marketing (Tyagi, 1999; Moorthy, 2005) and economics (Bulow and<br />

Pfeiderer, 1983; Nakamura and Zerom, 2010) literatures show that competitive,<br />

single-product retailers will pass a rise in costs along to consumers on a one-to-one<br />

basis if they face perfectly elastic demand. Imperfectly competitive retailers, however,<br />

will absorb some <strong>of</strong> the change in costs depending upon the curvature <strong>of</strong> demand,<br />

the competitiveness <strong>of</strong> local markets, and the structure <strong>of</strong> retailing costs. Hamilton<br />

(2009) shows that over-shifting, or passing through costs on a more than one-to-one<br />

basis, can occur among imperfectly competitive, multi-product retailers because rising<br />

input costs cause retailers to reduce the number <strong>of</strong> products they sell, which s<strong>of</strong>tens<br />

price competition. We fail to reject this hypothesis using store-level data on breakfast<br />

cereal sales from a large sample <strong>of</strong> U.S. grocery retailers. Our contribution lies in<br />

explaining the phenomenon <strong>of</strong> over-shifting in response to changes in wholesale<br />

prices, extending the empirical literature on retail pass-through to multi-product<br />

environments, and documenting the extent to which changes in wholesale prices are<br />

passed through to consumer food prices.<br />

3 - Pricing, Package Size, Advertising and Trade Areas in Spatial<br />

Competition <strong>of</strong> Retail Warehouse Clubs<br />

Aharon Hibshoosh, Pr<strong>of</strong>essor, San Jose State University and<br />

Lincoln University, One Washington Square, San Jose CA 95192,<br />

401 15th Street, Oakland, CA 94612, Oakland, CA, 94612,<br />

United States <strong>of</strong> America, rhibshoosh@gmail.com<br />

Using game theoretical framework, we model intrinsic short run spatial competition<br />

among pr<strong>of</strong>it-maximizing Retail Warehouse Clubs RWCs). Traditional modeling <strong>of</strong><br />

spatial competition has location and price as the key decision variables <strong>of</strong> the<br />

marketing mix <strong>of</strong> each competitor and typically assumes an instantaneously<br />

consumed single product. However, our models assumes that, in the short run store<br />

locations are fixed, and more realistically that besides price, RWCs distinctively<br />

compete on package size and store advertising while <strong>of</strong>fering many products. We<br />

further assume that package size is directly related to RWC’s cost savings due to<br />

economics <strong>of</strong> scale in purchasing, transportation and inventory management.<br />

Consumer patronage and purchase decisions are complex, as every consumer<br />

minimizes his total purchasing, transportation and holding cost <strong>of</strong> a portfolio <strong>of</strong><br />

products. Usually RWCs do not locate near consumers, as convenience stores do, so<br />

that consumers encounter time constraints and overall transportation costs. Hence,<br />

consumer store visit frequency and average product quantity demanded per visit are<br />

<strong>of</strong>ten institutionally dependent. Distinctively, the package size <strong>of</strong>fered by an RWC is<br />

typically large and the consumer incurs high inventory carrying cost when<br />

purchasing non-instantaneously consumed products. The indivisibility <strong>of</strong> package size<br />

raises non-trivial technical and substantive consequences. Specifically, for inventory<br />

path valuation, we employ continued fractions and the classical Euclidean Algorithm.<br />

The competition is modeled as a sequential game where package size equilibrium is<br />

determined prior to price equilibrium. We derive explicit parametric game equilibria<br />

solutions for price, package size, store advertising, trading area and pr<strong>of</strong>it.

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