Short Run Needs and Long Term Goals: A Dynamic Model of Thirst Management
Beverage consumption occurs many times a day in response to a variety of needs that change throughout the day. In making their choices, consumers self-regulate their consumption by managing short run needs (e.g., hydration and mood pickup) with long-term goals (e.g., health). Using unique intra-day beverage consumption, activity and psychological needs data, we develop and estimate a model of high frequency consumption choices that accounts for both intra-day changes in short run needs and individual level unobserved heterogeneity in the degree of self-regulation. A novel feature of the model is that it allows for dynamics of consumption and stockpiling at the level of product attributes. The model is used to evaluate introduction of new products in the beverage category and gain insight into the linkage between self-regulation and excess consumption. Broadly, the modeling framework of balancing short run needs with long-term goals has wide ranging applications in choices where long term effects are gradual (e.g., nutrition, exercise, smoking and preventive health care).
|Date of creation:||Mar 2012|
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- Manoj Thomas & Kalpesh Kaushik Desai & Satheeshkumar Seenivasan, 2011. "How Credit Card Payments Increase Unhealthy Food Purchases: Visceral Regulation of Vices," Journal of Consumer Research, Oxford University Press, vol. 38(1), pages 126-139.
- Peter Arcidiacono & John Bailey Jones, 2003.
"Finite Mixture Distributions, Sequential Likelihood and the EM Algorithm,"
Econometric Society, vol. 71(3), pages 933-946, 05.
- Arcidiacono, Peter & Jones, John B., 2000. "Finite Mixture Distribution, Sequential Likelihood, and the EM Algorithm," Working Papers 00-16, Duke University, Department of Economics.
- Shapiro, Jesse & Glaeser, Edward & Cutler, David, 2003.
"Why Have Americans Become More Obese,"
2640583, Harvard University Department of Economics.
- David M. Cutler & Edward L. Glaeser & Jesse M. Shapiro, 2003. "Why Have Americans Become More Obese?," Harvard Institute of Economic Research Working Papers 1994, Harvard - Institute of Economic Research.
- David Cutler & Edward Glaeser & Jesse Shapiro, 2003. "Why Have Americans Become More Obese?," NBER Working Papers 9446, National Bureau of Economic Research, Inc.
- Ahmed Khwaja & Dan Silverman & Frank Sloan, 2006.
"Time Preference, Time Discounting, and Smoking Decisions,"
NBER Working Papers
12615, National Bureau of Economic Research, Inc.
- Khwaja, Ahmed & Silverman, Dan & Sloan, Frank, 2007. "Time preference, time discounting, and smoking decisions," Journal of Health Economics, Elsevier, vol. 26(5), pages 927-949, September.
- Aguirregabiria, Victor & Mira, Pedro, 2010.
"Dynamic discrete choice structural models: A survey,"
Journal of Econometrics,
Elsevier, vol. 156(1), pages 38-67, May.
- Victor Aguirregabiria & Pedro mira, 2007. "Dynamic Discrete Choice Structural Models: A Survey," Working Papers tecipa-297, University of Toronto, Department of Economics.
- David Thesmar & Thierry Magnac, 2002. "Identifying dynamic discrete choice models," Post-Print hal-00538062, HAL.
- Erdem, Tulin & Imai, Susumu & Keane, Michael, 2003. "Brand and Quantity Choice Dynamics Under Price Uncertainty," MPRA Paper 52516, University Library of Munich, Germany.
- Laibson, David I., 1997.
"Golden Eggs and Hyperbolic Discounting,"
4481499, Harvard University Department of Economics.
- Daniel Houser & Michael Keane & Kevin McCabe, 2002.
"Behavior in a dynamic decision problem: An analysis of experimental evidence using a bayesian type classification algorithm,"
- Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, 05.
- Gary S. Becker & Casey B. Mulligan, 1997. "The Endogenous Determination of Time Preference," The Quarterly Journal of Economics, Oxford University Press, vol. 112(3), pages 729-758.
- Brian Wansink & David R. Just & Collin R. Payne, 2009. "Mindless Eating and Healthy Heuristics for the Irrational," American Economic Review, American Economic Association, vol. 99(2), pages 165-169, May.
- Judith Chevalier & Austan Goolsbee, 2009. "Are Durable Goods Consumers Forward-Looking? Evidence from College Textbooks," The Quarterly Journal of Economics, Oxford University Press, vol. 124(4), pages 1853-1884.
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