Avoiding aggregation bias in demand estimation: A multivariate promotional disaggregation approach
Demand models produce biased results when applied to data aggregated across stores with heterogeneous promotional activity. We show how to modify extant aggregate demand frameworks to avoid this problem. First a consumer-level model is developed, which is then integrated over the heterogeneous stores to arrive at aggregate demand. Our approach is highly practical since it requires only standard scanner data of the type produced by the major vendors. Using data for super-premium ice cream, we apply the proposed methodology to the random coefficients logit demand framework. Copyright Springer Science + Business Media, LLC 2006
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|
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.:
- Daniel A. Ackerberg & Marc Rysman, 2005.
"Unobserved Product Differentiation in Discrete-Choice Models: Estimating Price Elasticities and Welfare Effects,"
RAND Journal of Economics,
The RAND Corporation, vol. 36(4), pages 771-788, Winter.
- Daniel A. Ackerberg & Marc Rysman, 2002. "Unobserved Product Differentiation in Discrete Choice Models: Estimating Price Elasticities and Welfare Effects," NBER Working Papers 8798, National Bureau of Economic Research, Inc.
- Hausman, Jerry A & Leonard, Gregory K, 2002. "The Competitive Effects of a New Product Introduction: A Case Study," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 237-263, September.
- Aviv Nevo, 2000. "Mergers with Differentiated Products: The Case of the Ready-to-Eat Cereal Industry," RAND Journal of Economics, The RAND Corporation, vol. 31(3), pages 395-421, Autumn.
- Peter Boatwright & Sanjay Dhar & Peter Rossi, 2004. "The Role of Retail Competition, Demographics and Account Retail Strategy as Drivers of Promotional Sensitivity," Quantitative Marketing and Economics (QME), Springer, vol. 2(2), pages 169-190, June.
- Allenby, G.M. & Rossi, P.E., 1988. "There Is No Aggregation Bias: Why Macro Logit Models Work," Papers 88-62, Chicago - Graduate School of Business.
- Arthur Lewbel, 1992. "Aggregation with Log-Linear Models," Review of Economic Studies, Oxford University Press, vol. 59(3), pages 635-642.
- Randolph E. Bucklin & Sunil Gupta, 1999. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives," Marketing Science, INFORMS, vol. 18(3), pages 247-273.
- Chanjin Chung & Harry M. Kaiser, 2002. "Advertising Evaluation and Cross-Sectional Data Aggregation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 800-806. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:kap:qmktec:v:4:y:2006:i:4:p:383-405. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Rebekah McClure)
If references are entirely missing, you can add them using this form.