Ching, Andrew and Erdem, Tulin and Keane, Michael (2007): The Price Consideration Model of Brand Choice. Forthcoming in: Journal of Applied Econometrics
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The workhorse brand choice models in marketing are the multinomial logit (MNL) and nested multinomial logit (NMNL). These models place strong restrictions on how brand share and purchase incidence price elasticities are related. In this paper, we propose a new model of brand choice, the “price consideration” (PC) model, that allows more flexibility in this relationship. In the PC model, consumers do not observe prices in each period. Every week, a consumer decides whether to consider a category. Only then does he/she look at prices and decide whether and what to buy. Using scanner data, we show the PC model fits much better than MNL or NMNL. Simulations reveal the reason: the PC model provides a vastly superior fit to inter-purchase spells.
|Item Type:||MPRA Paper|
|Institution:||University of Toronto|
|Original Title:||The Price Consideration Model of Brand Choice|
|Keywords:||Brand Choice; Purchase Incidence; Price Elasticity; Inter-purchase Spell|
|Subjects:||M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M3 - Marketing and Advertising > M31 - Marketing
C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C41 - Duration Analysis ; Optimal Timing Strategies
C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities
|Depositing User:||Andrew Ching|
|Date Deposited:||03. Sep 2007|
|Last Modified:||18. Feb 2014 22:21|
Berry S, Levinshon J, Pakes A. 1995. Automobile Prices in Market Equilibrium. Econometrica 63: 841-890. Erdem T, Imai S, Keane M. 2003. Brand and Quantity Choice Dynamics Under Price Uncertainty. Quantitative Marketing and Economics 1: 5-64. Erdem T, Keane M, Sun B. 1999. Missing Price and Coupon Availability Data in Scanner Panels: Correcting for the Self-Selection Bias in the Choice Model Parameters. Journal of Econometrics 89: 177-196. Erdem T, Keane M, Sun B. 2006. A Dynamic Model of Brand Choice When Price and Advertising Signal Product Quality, Marketing Science, forthcoming. Fok D, Paap R, Franses PH. 2002. Modeling Dynamic Effects of Promotion on Interpurchase Times. Econometric Institute Report EI 2002/37. Guadagni PM, Little JDC. 1983. A Logit Model of Brand Choice Calibrated on Scanner Data. Marketing Science 2: 203-238. Harris K, Keane M. 1999. A Model of Health Plan Choice: Inferring Preferences and Perceptions from a Combination of Revealed Preference and Attitudinal Data. Journal of Econometrics 89: 131-157. Heckman J. 1981. The Incidental Parameters Problem and the Problem of Initial Conditions in Estimating a Discrete Time-Discrete Data Stochastic Process. In Structural Analysis of Discrete Data with Economic Applications, Manski C, McFadden D (eds). MIT: Cambridge, MA. Helsen K, Schmittlein DC. 1993. Analyzing Duration Times in Marketing: Evidence for the Effectiveness of Hazard Rate Models. Marketing Science 12: 395-414. Hendel I, Nevo A. 2003. Measuring the Implications of Sales and Consumer Stockpiling. Working paper, Northwestern University. Keane M. 1993. Simulation Estimation for Panel Data Models with Limited Dependent Variables. In Handbook of Statistics, Maddala GS, Rao CR, Vinod HD (eds). Elsevier Science Publishers: New York. Keane M. 1994. A Computationally Practical Simulation Estimator for Panel Data. Econometrica 62: 95-116. 44 Keane M. 1997a. Current Issues in Discrete Choice Modeling. Marketing Letters 8: 307- 322. Keane M. 1997b. Modeling Heterogeneity and State Dependence in Consumer Choice Behavior. Journal of Business and Economic Statistics 15: 310-326. Maddala GS. 1983. Limited-dependent and Qualitative Variables in Econometrics. University Press: Cambridge. McFadden D. 1978. Modeling the Choice of Residential Location. In Spatial Interaction Theory and Residential Location, Karlquist A (ed). North Holland: Amsterdam; 75-96. McFadden D. 1989. A Method of Simulated Moments for Estimation of Discrete Choice Response Models Without Numerical Integration. Econometrica 57: 995-1026. Pakes A. 1986. Patents as Options: Some Estimates of the Value of Holding European Patent Stocks. Econometrica 54: 755-84. Sun B, Neslin S, Srinivasan K. 2003. Measuring the Impact of Promotions on Brand Switching When Consumers Are Forward-looking. Journal of Marketing Research 40: 389-405. Sun B. 2005. Promotion Effect on Endogenous Consumption. Marketing Science 3: 430- 443. Wooldridge J. 2003a. Econometric Analysis of Cross Section and Panel Data. MIT Press: Cambridge, MA. Wooldridge J. 2003b. Simple Solutions to the Initial Conditions Problem in Dynamic, Nonlinear Panel Data Models with Unobserved Heterogeneity. Working Paper, Michigan State University.