A Proposal to Distinguish State Dependence and Unobserved Heterogeneity in Binary Brand Choice Models
This paper uses binary choice models that specify four possible sources of observed regularity in the consumer brand choice decision over purchase occasion: namely, state dependence, observed and unobserved heterogeneity and correlation effects. The objective is to distinguish correctly among the effects of these four variables. The estimation method proposed is an alternative to the most commonly used estimation methods in marketing choice models. We consider that the alternative method appropriately controls for observed heterogeneity and unobserved heterogeneity correlated with the state dependence variable because of the way the state dependence variable is built. The model is used for the first time in marketing following the methodology proposed by Chamberlain (1984). A relationship for unobserved heterogeneity is specified, taking into account the correlation among unobserved heterogeneity and other choice determinants. In this way, we split the influence of household state dependence and tastes on brand choice. The findings are very conclusive. We find that because the individual effects and the covariates are correlated, traditional estimation methods cannot be used to split state dependence and unobserved heterogeneity. The proposed model is found to yield better measures of predictive performance than the conventional model. The results are found to be robust across categories of laundry detergent and have significant implications for marketing policy.
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.:
- J. Morgan Jones & Jane T. Landwehr, 1988. "Removing Heterogeneity Bias from Logit Model Estimation," Marketing Science, INFORMS, vol. 7(1), pages 41-59.
- Rishin Roy & Pradeep K. Chintagunta & Sudeep Haldar, 1996. "A Framework for Investigating Habits, “The Hand of the Past,” and Heterogeneity in Dynamic Brand Choice," Marketing Science, INFORMS, vol. 15(3), pages 280-299.
- Keane, Michael P, 1997. "Modeling Heterogeneity and State Dependence in Consumer Choice Behavior," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 310-327, July.
- Mark Uncles & Andrew Ehrenberg & Kathy Hammond, 1995. "Patterns of Buyer Behavior: Regularities, Models, and Extensions," Marketing Science, INFORMS, vol. 14(3_supplem), pages 71-78.
- Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
- Tülin Erdem, 1996. "A Dynamic Analysis of Market Structure Based on Panel Data," Marketing Science, INFORMS, vol. 15(4), pages 359-378.
- Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
- Andrew M. Jones & José M. Labeaga, 2003. "Individual heterogeneity and censoring in panel data estimates of tobacco expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 157-177.
- Erdem, Tulin & Sun, Baohong, 2001. "Testing for Choice Dynamics in Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 142-152, April.
- Füsun Gönül & Kannan Srinivasan, 1993. "Modeling Multiple Sources of Heterogeneity in Multinomial Logit Models: Methodological and Managerial Issues," Marketing Science, INFORMS, vol. 12(3), pages 213-229.
- Elrod, Terry & Keane, Michael, 1995. "A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data," MPRA Paper 52434, University Library of Munich, Germany.
- Lakshman Krishnamurthi & S. P. Raj, 1988. "A Model of Brand Choice and Purchase Quantity Price Sensitivities," Marketing Science, INFORMS, vol. 7(1), pages 1-20.
- P. B. Seetharaman, 2004. "Modeling Multiple Sources of State Dependence in Random Utility Models: A Distributed Lag Approach," Marketing Science, INFORMS, vol. 23(2), pages 263-271, April.
- James J. Heckman, 1981. "Heterogeneity and State Dependence," NBER Chapters,in: Studies in Labor Markets, pages 91-140 National Bureau of Economic Research, Inc.
When requesting a correction, please mention this item's handle: RePEc:fda:fdaddt:2007-02. 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: (Carmen Arias)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.