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Double-Hurdle and Purchase-Infrequency Demand Analysis: A Feasible Integrated Approach


  • Kimhi, Ayal


This paper proposes an integrated model that incorporates, as special cases, the double-hurdle and the purchase-infrequency models, both previously used to account for zero observations in commodity demand analyses. Monte-Carlo simulations show that the integrated model is more robust to misspecification of the censoring rule than any of the two simpler models. The integrated model is then applied to the demand for tobacco products in Israel. The purchase-infrequency results were closer to those of the integrated model than the results of the double-hurdle model. Copyright 1999 by Oxford University Press.

Suggested Citation

  • Kimhi, Ayal, 1999. "Double-Hurdle and Purchase-Infrequency Demand Analysis: A Feasible Integrated Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 26(4), pages 425-442, December.
  • Handle: RePEc:oup:erevae:v:26:y:1999:i:4:p:425-42

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    References listed on IDEAS

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    Cited by:

    1. Bardsley, Nicholas & Buechs, Milena, 2013. "Exploiting Zero-Inflated Consumption Data using Propensity Score Matching and the Infrequency of Purchase Model, with Application to Climate Change Policy," MPRA Paper 48727, University Library of Munich, Germany.
    2. Fiedler, John L. & Mwangi, Dena M., 2016. "Improving household consumption and expenditure surveys’ food consumption metrics: Developing a strategic approach to the unfinished agenda:," IFPRI discussion papers 1570, International Food Policy Research Institute (IFPRI).
    3. Evenson, Robert E. & Kimhi, Ayal & Desilva, Sanjaya, 2000. "Supervision And Transaction Costs: Evidence From Rice Farms In Bicol, The Philippines," 2000 Annual meeting, July 30-August 2, Tampa, FL 21788, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Hikaru Hasegawa & Kazuhiro Ueda & Kunie Mori, 2008. "Estimation of Engel Curves from Survey Data with Zero Expenditures," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 535-558, August.
    5. Akerele, Dare & Tiffin, R. & Srinivasan, C. S., 2013. "Household Food Demand in Nigeria: an Application of Multivariate Double-hurdle Model," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158700, Agricultural Economics Society.
    6. Dhakal, Bhubaneswor & Bigsby, Hugh R. & Cullen, Ross, 2008. "Determinants of Forestry Investment and Extent of Forestry Expansion by Smallholders in New Zealand," Review of Applied Economics, Review of Applied Economics, vol. 4(1-2).
    7. Bekele A. Shiferaw & Tewodros A. Kebede & Liang You, 2008. "Technology adoption under seed access constraints and the economic impacts of improved pigeonpea varieties in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 39(3), pages 309-323, November.
    8. James Carroll & Siobhan McCarthy & Carol Newman, 2005. "An Econometric Analysis of Charitable Donations in the Republic of Ireland," The Economic and Social Review, Economic and Social Studies, vol. 36(3), pages 229-249.
    9. Bilgic, Abdulbaki & Florkowski, Wojciech J. & Yen, Steven T. & Akbay, Cuma, 2013. "Tobacco spending patterns and their health-related implications in Turkey," Journal of Policy Modeling, Elsevier, vol. 35(1), pages 1-15.

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