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State Dependence and Preference Heterogeneity: The Hand of the Past on Breakfast Cereal Consumption

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  • Békési, Dániel
  • Loy, Jens-Peter
  • Weiss, Christoph

Abstract

By explicitly accounting for observed and unobserved taste heterogeneity, we investigate state dependence in food consumption on household level. Positive state dependence, which can be interpreted as a loyalty measure, implies habit persistence, whereas negative state dependence implies variety-seeking behavior. Using ConsumerScan data for 2,717 households in Germany for a four-year period (2000 until 2003), we apply mixed multinomial (random coefficient) logit models to analyze consumption behavior in the breakfast cereal market. We find substantial heterogeneity between households: the majority of them express some degree of positive state dependence, which depreciates over time. Merely a small share of the households can be characterized as variety-seekers. The analysis sheds light on the correlation between price sensitivity and loyalty. More state dependent households seem to be more sensitive to price changes. By obtaining household-specific coefficients, we are able to define each household´s position on the distribution of the parameters. Comparing state dependence coefficients and two further loyalty measures (brand-runs and repurchase probabilities), we observe a positive correlation between these, which underpins the importance of the effect of prior consumption. As a diagnostic check, the unconditional distributions of the parameters and the average of the distributions conditional on previous choices are compared.

Suggested Citation

  • Békési, Dániel & Loy, Jens-Peter & Weiss, Christoph, 2013. "State Dependence and Preference Heterogeneity: The Hand of the Past on Breakfast Cereal Consumption," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158699, Agricultural Economics Society.
  • Handle: RePEc:ags:aesc13:158699
    DOI: 10.22004/ag.econ.158699
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    References listed on IDEAS

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    1. Rosen, Sherwin, 2007. "Studies in Labor Markets," National Bureau of Economic Research Books, University of Chicago Press, number 9780226726304.
    2. Wang, Justin & Hockenberry, Jason & Chou, Shin-Yi & Yang, Muzhe, 2011. "Do bad report cards have consequences? Impacts of publicly reported provider quality information on the CABG market in Pennsylvania," Journal of Health Economics, Elsevier, vol. 30(2), pages 392-407, March.
    3. repec:ucp:bknber:9780226726281 is not listed on IDEAS
    4. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    5. Train, Kenneth, 2000. "Halton Sequences for Mixed Logit," Department of Economics, Working Paper Series qt6zs694tp, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
    7. Becker, Gary S & Grossman, Michael & Murphy, Kevin M, 1994. "An Empirical Analysis of Cigarette Addiction," American Economic Review, American Economic Association, vol. 84(3), pages 396-418, June.
    8. Timothy J. Richards & Paul M. Patterson & Abebayehu Tegene, 2007. "Obesity And Nutrient Consumption: A Rational Addiction?," Contemporary Economic Policy, Western Economic Association International, vol. 25(3), pages 309-324, July.
    9. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LLC, vol. 7(3), pages 388-401, September.
    10. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    11. Allenby, Greg M & Lenk, Peter J, 1995. "Reassessing Brand Loyalty, Price Sensitivity, and Merchandising Effects on Consumer Brand Choice," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 281-289, July.
    12. Jean‐Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2010. "State dependence and alternative explanations for consumer inertia," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 417-445, September.
    13. Alan T. Sorensen, 2000. "Equilibrium Price Dispersion in Retail Markets for Prescription Drugs," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 833-862, August.
    14. Lusk, Jayson L. & Roosen, Jutta & Shogren, Jason (ed.), 2011. "The Oxford Handbook of the Economics of Food Consumption and Policy," OUP Catalogue, Oxford University Press, number 9780199569441.
    15. Tülin Erdem, 1996. "A Dynamic Analysis of Market Structure Based on Panel Data," Marketing Science, INFORMS, vol. 15(4), pages 359-378.
    16. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    17. Carlos Arnade & Munisamy Gopinath & Daniel Pick, 2008. "Brand Inertia in U.S. Household Cheese Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 813-826.
    18. Pashardes, Panos, 1986. "Myopic and Forward Looking Behavior in a Dynamic Demand System," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 387-397, June.
    19. James J. Heckman, 1981. "Heterogeneity and State Dependence," NBER Chapters, in: Studies in Labor Markets, pages 91-140, National Bureau of Economic Research, Inc.
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