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Modelling milk purchasing behaviour with a panel data double-hurdle model

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  • Diansheng Dong
  • Chanjin Chung
  • Harry Kaiser

Abstract

In this study, the double-hurdle model typically used in cross-sectional data is extended to panel data structures. The new double-hurdle model can account not only for the censored nature of commodity purchases, but also for the dynamics of the purchase process. In this model, a flexible error structure is assumed to account for state dependence and household-specific heterogeneity. In the empirical application for milk purchases, it is found that generic advertising increases the probability of market participation as well as the purchase quantity and incidence. Temporal dependence is also found in both purchase and participation equations.

Suggested Citation

  • Diansheng Dong & Chanjin Chung & Harry Kaiser, 2004. "Modelling milk purchasing behaviour with a panel data double-hurdle model," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 769-779.
  • Handle: RePEc:taf:applec:v:36:y:2004:i:8:p:769-779
    DOI: 10.1080/0003684042000229505
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    1. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    2. Garcia, Jaume & Labeaga, Jose M, 1996. "Alternative Approaches to Modelling Zero Expenditure: An Application to Spanish Demand for Tobacco," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 489-506, August.
    3. Hajivassiliou, Vassilis & McFadden, Daniel & Ruud, Paul, 1996. "Simulation of multivariate normal rectangle probabilities and their derivatives theoretical and computational results," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 85-134.
    4. Deaton, Angus & Irish, Margaret, 1984. "Statistical models for zero expenditures in household budgets," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 59-80.
    5. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 125-165, September.
    6. Vassilis A. Hajivassiliou & Daniel L. McFadden, 1998. "The Method of Simulated Scores for the Estimation of LDV Models," Econometrica, Econometric Society, vol. 66(4), pages 863-896, July.
    7. Vassilis A. Hajivassiliou & Daniel McFadden, 1990. "The Method of Simulated Scores for the Estimation of LDV Models with an Application to External Debt Crisis," Cowles Foundation Discussion Papers 967, Cowles Foundation for Research in Economics, Yale University.
    8. McFadden, Daniel & Ruud, Paul A, 1994. "Estimation by Simulation," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 591-608, November.
    9. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    10. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665, National Bureau of Economic Research, Inc.
    11. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    12. Atkinson, A B & Gomulka, J & Stern, N H, 1990. "Spending on Alcohol: Evidence from the Family Expenditure Survey 1970-1983," Economic Journal, Royal Economic Society, vol. 100(402), pages 808-827, September.
    13. Erdem, Tulin & Keane, Michael P. & Sun, Baohong, 1998. "Missing price and coupon availability data in scanner panels: Correcting for the self-selection bias in choice model parameters," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 177-196, November.
    14. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
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    Cited by:

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    2. KONISHI Yoko, 2017. "On the Role of Skill, Quality, and Environmental Factors on Customer Behavior of the Beauty Industry," Discussion papers 17035, Research Institute of Economy, Trade and Industry (RIETI).
    3. Jonas, A. & Roosen, J., 2006. "Eine zweistufige Nachfrageschätzung für Milch: Biomilch, Handelsmarken und Herstellermarken," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 41, March.
    4. Feng Zhang & Chung L. Huang & Biing-Hwan Lin & James E. Epperson, 2008. "Modeling fresh organic produce consumption with scanner data: a generalized double hurdle model approach," Agribusiness, John Wiley & Sons, Ltd., vol. 24(4), pages 510-522.
    5. Christoph Engel & Peter G. Moffat, 2012. "Estimation of the House Money Effect Using Hurdle Models," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2012_13, Max Planck Institute for Research on Collective Goods.
    6. Pedro A. Alviola & Oral Capps, 2010. "Household demand analysis of organic and conventional fluid milk in the United States based on the 2004 Nielsen Homescan panel," Agribusiness, John Wiley & Sons, Ltd., vol. 26(3), pages 369-388.
    7. Stewart, Hayden & Kuchler, Fred & Dong, Diansheng & Cessna, Jerry, 2021. "Examining the Decline in U.S. Per Capita Consumption of Fluid Cow’s Milk, 2003–18," USDA Miscellaneous 316500, United States Department of Agriculture.
    8. Davis, Chris & Blayney, Don & Yen, Steven & Cooper, Joseph C., 2009. "An analysis of at-home demand for ice cream in the United States," MPRA Paper 24782, University Library of Munich, Germany.
    9. Sandro Ambuehl, 2017. "An Offer You Can't Refuse? Testing Undue Inducement," CESifo Working Paper Series 6296, CESifo.
    10. Stewart, Hayden & Kuchler, Fred & Dong, Diansheng & Cessna, Jerry, 2021. "Examining the Decline in U.S. Per Capita Consumption of Fluid Cow’s Milk, 2003–18," Economic Research Report 327183, United States Department of Agriculture, Economic Research Service.
    11. Bardazzi, Rossella & Pazienza, Maria Grazia, 2018. "Ageing and private transport fuel expenditure: Do generations matter?," Energy Policy, Elsevier, vol. 117(C), pages 396-405.
    12. 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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