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The Decision Of When To Buy A Frequently Purchased Good: A Multi-Period Probit Model

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  • Gould, Brian W.
  • Dong, Diansheng

Abstract

Increased availability of scanner-based panel data has enabled researchers to better understand nondurable commodity purchase dynamics. In this study, we focus on one component of the purchase process--when to buy. The relationship between the discrete purchase decision and a set of household and purchase characteristics is quantified using a simulated maximum-likelihood procedure. Given the longitudinal nature of our data, unobserved heterogeneity is addressed by adopting an auto-correlated error structure. Our empirical application is household purchases of cheese. We find evidence of significant persistent unobservable household heterogeneity, which is not eliminated by the inclusion of lagged exogenous variables.

Suggested Citation

  • Gould, Brian W. & Dong, Diansheng, 2000. "The Decision Of When To Buy A Frequently Purchased Good: A Multi-Period Probit Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-17, December.
    • Handle: RePEc:ags:jlaare:30884
    DOI: 10.22004/ag.econ.30884
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    Cited by:

    1. Dong, Diansheng & Chung, Chanjin & Kaiser, Harry M., 2001. "Panel Data Double-Hurdle Model: An Application To Dairy Advertising," 2001 Annual meeting, August 5-8, Chicago, IL 20502, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Munroe, Darla K. & Southworth, Jane & Tucker, Catherine M., 2001. "The Dynamics Of Land-Cover Change In Western Honduras: Spatial Autocorrelation And Temporal Variation," 2001 Annual meeting, August 5-8, Chicago, IL 20759, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Abdulfatah Sheikhbihi Adam & Sinne Smed, 2012. "The effects of different types of taxes on soft-drink consumption," IFRO Working Paper 2012/9, University of Copenhagen, Department of Food and Resource Economics, revised Nov 2012.
    4. Todd M. Schmit & Brian W. Gould & Diansheng Dong & Harry M. Kaiser & Chanjin Chung, 2003. "The Impact of Generic Advertising on U.S. Household Cheese Purchases: A Censored Autocorrelated Regression Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 51(1), pages 15-37, March.
    5. Gardebroek, Cornelis & Oude Lansink, Alfons G.J.M., 2008. "Dynamic Microeconometric Approaches To Analysing Agricultural Policy," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6592, European Association of Agricultural Economists.
    6. Schmit, Todd M. & Dong, Diansheng & Chung, Chanjin & Kaiser, Harry M. & Gould, Brian W., 2002. "Identifying The Effects Of Generic Advertising On The Household Demand For Fluid Milk And Cheese: A Two-Step Panel Data Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(1), pages 1-22, July.
    7. Munroe, Darla K. & Southworth, Jane & Tucker, Catherine M., 2002. "The dynamics of land-cover change in western Honduras: exploring spatial and temporal complexity," Agricultural Economics, Blackwell, vol. 27(3), pages 355-369, November.
    8. Huang, Min-Hsin & Hahn, David E. & Jones, Eugene, 2004. "Determinants Of Price Elasticities For Store Brands And National Brands Of Cheese," 2004 Annual meeting, August 1-4, Denver, CO 20235, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.

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