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