Trade promotions are the most important promotional tool available to a manufacturer. However trade promotions can achieve their objective of increasing short-term sales only if the retailer passes through these promotions. Empirical research has documented that there is a wide variation in retail pass-through across products. However little is known about the variations in pass-through over time. This is particularly important for products with distinct seasonal patterns. We argue that extant methods of measuring pass-through are inadequate for seasonal products. We therefore introduce a measurement approach and illustrate it using two product categories. We find interesting differences in pass-through for loss-leader products versus regular products during high demand and regular demand periods. We find that retailers use a deep and narrow pass-through strategy (high pass-through on loss-leader products, but small pass-through on regular products) during periods of regular demand and broad and shallow pass-through strategy (smaller, but similar pass-through on both loss-leader and regular products) during periods of high demand. Loss leader products continue to obtain higher pass-through in high demand periods, if the category's high demand period is also a high demand period for other product categories as well. Copyright Springer Science + Business Media, LLC 2006
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 4 (2006)
Issue (Month): 4 (December)
|Contact details of provider:|| Web page: http://www.springer.com|
|Order Information:||Web: http://www.springer.com/business+%26+management/marketing/journal/11129/PS2|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- K. Sudhir, 2001. "Competitive Pricing Behavior in the Auto Market: A Structural Analysis," Marketing Science, INFORMS, vol. 20(1), pages 42-60, January.
- K. Sudhir & Pradeep K. Chintagunta & Vrinda Kadiyali, 2005. "Time-Varying Competition," Marketing Science, INFORMS, vol. 24(1), pages 96-109, September.
- Elizabeth J. Warner & Robert B. Barsky, 1995. "The Timing and Magnitude of Retail Store Markdowns: Evidence from Weekends and Holidays," The Quarterly Journal of Economics, Oxford University Press, vol. 110(2), pages 321-352.
- Goldberg, Pinelopi Koujianou, 1995. "Product Differentiation and Oligopoly in International Markets: The Case of the U.S. Automobile Industry," Econometrica, Econometric Society, vol. 63(4), pages 891-951, July.
- Grier, Kevin, 2001. "Grocery Trade Promotions: How Important Is Pass-Through?," Miscellaneous Publications 18120, George Morris Center.
- K. Sudhir, 2001. "Competitive Pricing Behavior in the US Auto Market: A Structural Analysis," Yale School of Management Working Papers ysm228, Yale School of Management.
- Judith A. Chevalier & Anil K. Kashyap & Peter E. Rossi, 2003.
"Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data,"
American Economic Review,
American Economic Association, vol. 93(1), pages 15-37, March.
- Judith A. Chevalier & Anil K. Kashyap & Peter E. Rossi, 2000. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," NBER Working Papers 7981, National Bureau of Economic Research, Inc.
- Peter E. Rossi & Judith A. Chevalier & Anil K. Kashyap, 2002. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," Yale School of Management Working Papers ysm291, Yale School of Management.
- Pradeep Chintagunta & Jean-Pierre Dubé & Khim Yong Goh, 2005. "Beyond the Endogeneity Bias: The Effect of Unmeasured Brand Characteristics on Household-Level Brand Choice Models," Management Science, INFORMS, vol. 51(5), pages 832-849, May. Full references (including those not matched with items on IDEAS)