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Which household attitudes determine the store type choice for meat?

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  • Staus, Alexander

Abstract

Store choice decisions in the food retailing industry have been widely discussed in the literature. The importance of pricing, quality and assortment is known, and the influence of sociodemographic variables is small. In this paper, a mixed multinomial logit model is used, to study the relationship between specific attitudes of households and their store type choice for meat. The mixed logit model includes a random intercept for the different store types and therefore allows for individual taste variation. Household attitudes are about quality, freshness, environment, advertisement, organic food and prices. Additionally several sociodemographics and interaction terms are included. Household attitudes and the actual point of purchase show, which of these attitudes influence store type choice, and assuming there is a true relation between these choices, an implied image order of store types can be established.

Suggested Citation

  • Staus, Alexander, 2011. "Which household attitudes determine the store type choice for meat?," Journal of Retailing and Consumer Services, Elsevier, vol. 18(3), pages 224-234.
    • Handle: RePEc:eee:joreco:v:18:y:2011:i:3:p:224-234
    DOI: 10.1016/j.jretconser.2010.11.003
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    1. Wooldridge, Jeffrey M., 2000. "A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables," Economics Letters, Elsevier, vol. 68(3), pages 245-250, September.
    2. Becker, Tilman C., 2009. "European Food Quality Policy: The Importance of Geographical Indications, Organic Certification and Food Quality Assurance Schemes in European Countries," Estey Centre Journal of International Law and Trade Policy, Estey Centre for Law and Economics in International Trade, vol. 10(1), pages 1-20.
    3. Bo E. Honoré & Elie Tamer, 2006. "Bounds on Parameters in Panel Dynamic Discrete Choice Models," Econometrica, Econometric Society, vol. 74(3), pages 611-629, May.
    4. 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.
    5. Moeltner K. & Englin J., 2004. "Choice Behavior Under Time-Variant Quality: State Dependence Versus," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 214-224, April.
    6. Milgrom, Paul & Roberts, John, 1986. "Price and Advertising Signals of Product Quality," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 796-821, August.
    7. Kenneth E. Train & Clifford Winston, 2007. "Vehicle Choice Behavior And The Declining Market Share Of U.S. Automakers," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1469-1496, November.
    8. Lakshman Krishnamurthi & S. P. Raj, 1991. "An Empirical Analysis of the Relationship Between Brand Loyalty and Consumer Price Elasticity," Marketing Science, INFORMS, vol. 10(2), pages 172-183.
    9. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    10. Caves, Richard E. & Greene, David P., 1996. "Brands' quality levels, prices, and advertising outlays: empirical evidence on signals and information costs," International Journal of Industrial Organization, Elsevier, vol. 14(1), pages 29-52.
    11. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    12. 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.
    13. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    14. 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.
    15. Lee, Lung-Fei, 1997. "Simulated maximum likelihood estimation of dynamic discrete choice statistical models some Monte Carlo results," Journal of Econometrics, Elsevier, vol. 82(1), pages 1-35.
    16. Bruce Marion, 1998. "Competition in Grocery Retailing: The Impact of a New Strategic Group on BLS Price Increases," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 13(4), pages 381-399, August.
    17. Chintagunta, Pradeep & Kyriazidou, Ekaterini & Perktold, Josef, 2001. "Panel data analysis of household brand choices," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 111-153, July.
    18. Smith, Martin D., 2005. "State dependence and heterogeneity in fishing location choice," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 319-340, September.
    19. Fred Mannering & Clifford Winston, 1985. "A Dynamic Empirical Analysis of Household Vehicle Ownership and Utilization," RAND Journal of Economics, The RAND Corporation, vol. 16(2), pages 215-236, Summer.
    20. Purushottam Papatla & Lakshman Krishnamurthi, 1992. "A Probit Model of Choice Dynamics," Marketing Science, INFORMS, vol. 11(2), pages 189-206.
    21. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
    22. Avi Goldfarb, 2006. "State Dependence at Internet Portals," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 317-352, June.
    23. André Tordjman, 1994. "European retailing: convergences, differences and perspectives," Working Papers hal-00607606, HAL.
    24. Heckman, James J, 1991. "Identifying the Hand of the Past: Distinguishing State Dependence from Heterogeneity," American Economic Review, American Economic Association, vol. 81(2), pages 75-79, May.
    25. 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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    2. Beatrice Luceri & Sabrina Latusi & Elisa Martinelli, 2014. "L?acquirente cross-format: modelli di mobilit? nel rocery," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2014(3), pages 19-39.
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