Marketing Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


MARKETING SCIENCE
Vol. 24, No. 1, Winter 2005, pp. 81-95
DOI: 10.1287/mksc.1040.0087
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Dubé, J.-P.
Right arrow Articles by Manchanda, P.
Right arrow Search for Related Content

Differences in Dynamic Brand Competition Across Markets: An Empirical Analysis

Jean-Pierre Dubé, Puneet Manchanda

Graduate School of Business, University of Chicago, 1101 East 58th Street, Chicago, Illinois 60637
Graduate School of Business, University of Chicago, 1101 East 58th Street, Chicago, Illinois 60637

jdube{at}gsb.uchicago.edu
puneet.manchanda{at}gsb.uchicago.edu

We investigate differences in the dynamics of marketing decisions across geographic markets empirically. We begin with a linear-quadratic game involving forward-looking firms competing on prices and advertising. Based on the corresponding Markov perfect equilibrium, we propose estimable econometric equations for demand and marketing policy. Our model allows us to measure empirically the strategic response of competitors along with economic measures such as firm profitability. We use a rich dataset that combines sales, marketing mix, factor cost, and advertising cost data for eighteen geographic markets in the frozen entrée category.

We find that larger markets tend to be less price-sensitive and more profitable than smaller markets. We also find evidence of positive carryover of own advertising on own demand. In terms of consumer substitution patterns, we find that the role of advertising (in our data) seems to be more category-building (complementary) than share-stealing (competitive). The complementary role is stronger in larger markets. On the supply side, we find that firms make smaller adjustments to own advertising as goodwill goes up. Consistent with cross-advertising effects on demand, firms make smaller (larger) adjustments to advertising in response to competitive goodwill in the less competitive larger (in the more competitive smaller) markets. Finally, we find that consumer welfare decreases (increases) in larger (smaller) markets when firms move to a zero-advertising regime.

Key Words: competition; advertising; multiple geographic markets; structural models; Markov perfect equilibrium; dynamics; packaged goods
History: Received: September 4, 2001;


This article has been cited by other articles:


Home page
Operations ResearchHome page
G. M. Erickson
Advertising Competition in a Dynamic Oligopoly with Multiple Brands
Operations Research, September 1, 2009; 57(5): 1106 - 1113.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
R. Thomadsen and K.-E. Rhee
Costly Collusion in Differentiated Industries
Marketing Science, September 1, 2007; 26(5): 660 - 665.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
F. M. Bass, N. Bruce, S. Majumdar, and B. P. S. Murthi
Wearout Effects of Different Advertising Themes: A Dynamic Bayesian Model of the Advertising-Sales Relationship
Marketing Science, March 1, 2007; 26(2): 179 - 195.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
S. M. Shugan
Editorial: Who Is Afraid to Give Freedom of Speech to Marketing Folks?
Marketing Science, September 1, 2006; 25(5): 403 - 410.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
S. Horsky
The Changing Architecture of Advertising Agencies
Marketing Science, July 1, 2006; 25(4): 367 - 383.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
S. M. Shugan
Editorial: Errors in the Variables, Unobserved Heterogeneity, and Other Ways of Hiding Statistical Error
Marketing Science, May 1, 2006; 25(3): 203 - 216.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
G. J. Tellis and P. H. Franses
Optimal Data Interval for Estimating Advertising Response
Marketing Science, May 1, 2006; 25(3): 217 - 229.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
C. He and Y. Chen
Research Note--Managing e-Marketplace: A Strategic Analysis of Nonprice Advertising
Marketing Science, March 1, 2006; 25(2): 175 - 187.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
K. Sudhir, P. K. Chintagunta, and V. Kadiyali
Time-Varying Competition
Marketing Science, January 1, 2005; 24(1): 96 - 109.
[Abstract] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2005 by INFORMS.