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Consistent Estimation of Censored Demand Systems Using Panel Data


  • David E. Sahn


We derive a joint continuous/censored commodity demand system for panel data applications. Unobserved heterogeneity is controlled for using a correlated random effects specification and a generalized method of moments framework used to estimate the model. While relatively small differences in elasticity estimates are found between a flexible random effects specification and one that restricts the random effect coefficient to be time invariant, larger differences are observed when comparing the flexible model to a pooled cross-sectional estimator. The results suggest the limited ability of such estimators to control for preference heterogeneity and unit-value endogeneity leads to parameter bias. Copyright 2005, Oxford University Press.

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  • David E. Sahn, 2005. "Consistent Estimation of Censored Demand Systems Using Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 660-672.
  • Handle: RePEc:oup:ajagec:v:87:y:2005:i:3:p:660-672

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    3. Davis, Christopher G. & Blayney, Donald P. & Dong, Diansheng & Yen, Steven T. & Johnson, Rachel J., 2011. "Will Changing Demographics Affect U.S. Cheese Demand?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(02), May.
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    7. Chad D. Meyerhoefer & Samuel H. Zuvekas, 2010. "New estimates of the demand for physical and mental health treatment," Health Economics, John Wiley & Sons, Ltd., vol. 19(3), pages 297-315.
    8. Zhen, Chen & Muth, Mary K. & Karns, Shawn & Brown, Derick & Siegel, Peter, 2015. "Do Differences in Reported Expenditures between Commercial Household-based Scanner Data and Government Surveys Matter in a Structural Model of Food Demand?," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202702, European Association of Agricultural Economists.
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    10. Davis, Christopher G. & Dong, Diansheng & Blayney, Donald P. & Owens, Ashley, 2010. "An Analysis of U.S. Household Dairy Demand," Technical Bulletins 184308, United States Department of Agriculture, Economic Research Service.
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    13. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
    14. Mikkel Barslund, 2011. "Censored Demand System Estimation with Endogenous Expenditures in clustered samples: an application to food demand in urban Mozambique," LICOS Discussion Papers 28011, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
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    16. Golan, Amos & LaFrance, Jeffrey T & Perloff, Jeffrey M. & Seabold, Skipper, 2017. "Estimating a Demand System with Choke Prices," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4qt9q8vr, Department of Agricultural & Resource Economics, UC Berkeley.
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    18. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2016. "Preschool Children’s Demand for Sugar Sweetened Beverages: Evidence from Stated-Preference Panel Data," Melbourne Institute Working Paper Series wp2016n25, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    19. Chad D. Meyerhoefer & Yuriy Pylypchuk, 2008. "Does Participation in the Food Stamp Program Increase the Prevalence of Obesity and Health Care Spending?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 287-305.
    20. Bopape, Lesiba, 2006. "Heterogeneity of Household Food Expenditure Patterns in South Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21300, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. 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.
    22. Rosario Crino, 2006. "Are U.S. White-Collar Really at Risk of Service Offshoring?," KITeS Working Papers 183, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Oct 2006.

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