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Urban Households’ Cooking Oil and Fat Consumption Patterns in Turkey: Quality Vs. Quantity

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  • Cuma Akbay

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  • Cuma Akbay, 2007. "Urban Households’ Cooking Oil and Fat Consumption Patterns in Turkey: Quality Vs. Quantity," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 851-867, December.
  • Handle: RePEc:spr:qualqt:v:41:y:2007:i:6:p:851-867
    DOI: 10.1007/s11135-006-9029-3
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    References listed on IDEAS

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    1. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation of Food Demand Nutrient Elasticities from household Survey Data," Technical Bulletins 184370, United States Department of Agriculture, Economic Research Service.
    2. Dhar, Tirtha Pratim & Chavas, Jean-Paul & Gould, Brian W., 2002. "An Empirical Assessment of Endogeneity Issues In Demand Analysis for Differentiated Products," Research Reports 25227, University of Connecticut, Food Marketing Policy Center.
    3. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    4. David L. Edgerton, 1997. "Weak Separability and the Estimation of Elasticities in Multistage Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 62-79.
    5. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation Of Food Demand And Nutrient Elasticities From Household Survey Data," Technical Bulletins 33579, United States Department of Agriculture, Economic Research Service.
    6. Chanjin Chung & Diansheng Dong & Todd M. Schmit & Harry M. Kaiser & Brian W. Gould, 2005. "Estimation of price elasticities from cross-sectional data," Agribusiness, John Wiley & Sons, Ltd., vol. 21(4), pages 565-584.
    7. John L. Park & Rodney B. Holcomb & Kellie Curry Raper & Oral Capps, 1996. "A Demand Systems Analysis of Food Commodities by U.S. Households Segmented by Income," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 290-300.
    8. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    9. Adolf Buse & Wing H Chan, 2000. "Invariance, price indices and estimation in almost ideal demand systems," Empirical Economics, Springer, vol. 25(3), pages 519-539.
    10. Brian W. Gould, 2003. "An Empirical Assessment of Endogeneity Issues in Demand Analysis for Differentiated Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 605-617.
    11. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    12. Steven T. Yen, 2005. "A Multivariate Sample-Selection Model: Estimating Cigarette and Alcohol Demands with Zero Observations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 453-466.
    13. Richard Green & Julian M. Alston, 1990. "Elasticities in AIDS Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 442-445.
    14. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    15. Panagiotis Lazaridis, 2003. "Household meat demand in Greece: A demand systems approach using microdata," Agribusiness, John Wiley & Sons, Ltd., vol. 19(1), pages 43-59.
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    Cited by:

    1. Olabisi, Michael & Tschirley, David L. & Nyange, David & Awokuse, Titus, 2018. "The Challenge of Substituting Sunflower Oil for Imported Palm Oil: Evidence from Tanzania," Feed the Future Innovation Lab for Food Security Policy Research Papers 275677, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).

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