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The Role of Income in Explaining the Shift from Preserved to Fresh Vegetable Purchases

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  • Ferrier, Peyton M.
  • Zhen, Chen

Abstract

Between 1991 and 2013, the share of fresh vegetables consumed rose from 47% to 56%. While median incomes grew 7.9%, the growth was uneven, with negligible growth occurring in the bottom two quintiles. Estimating an EASI demand system for fresh and preserved vegetables that accounts for corner solutions, we find that income elasticities are larger for fresh vegetables than for preserved vegetables for consumers in the top three but not the bottom two income quintiles. Simulations accounting for uneven income growth indicate that income growth accounts for 0.7 percentage points of the 9 percentage point increase in fresh share.

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  • Ferrier, Peyton M. & Zhen, Chen, 2017. "The Role of Income in Explaining the Shift from Preserved to Fresh Vegetable Purchases," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(3), September.
    • Handle: RePEc:ags:jlaare:264065
    DOI: 10.22004/ag.econ.264065
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    as
    1. Ferrier, Peyton, 2014. "The Effects of Phytosanitary Regulations on U.S. Imports of Fresh Fruits and Vegetables," Economic Research Report 176199, United States Department of Agriculture, Economic Research Service.
    2. Kasteridis, Panagiotis & Yen, Steven, 2012. "U.S. demand for organic and conventional vegetables: a Bayesian censored system approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 1-21.
    3. James Heckman & Edward Vytlacil, 1998. "Instrumental Variables Methods for the Correlated Random Coefficient Model: Estimating the Average Rate of Return to Schooling When the Return is Correlated with Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 974-987.
    4. Rick L. Williams, 2000. "A Note on Robust Variance Estimation for Cluster-Correlated Data," Biometrics, The International Biometric Society, vol. 56(2), pages 645-646, June.
    5. Arthur Lewbel & Krishna Pendakur, 2009. "Tricks with Hicks: The EASI Demand System," American Economic Review, American Economic Association, vol. 99(3), pages 827-863, June.
    6. Everett Peterson & Jason Grant & Donna Roberts & Vuko Karov, 2013. "Evaluating the Trade Restrictiveness of Phytosanitary Measures on U.S. Fresh Fruit and Vegetable Imports," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(4), pages 842-858.
    7. Mark B. Stewart, 1983. "On Least Squares Estimation when the Dependent Variable is Grouped," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(4), pages 737-753.
    8. Nzaku, Kilungu & Houston, Jack E., 2009. "Analysis of U.S. Demand for Fresh Tropical Fruit and Vegetable Imports," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46850, Southern Agricultural Economics Association.
    9. Just, David R. & Lund, Jesse & Price, Joseph, 2012. "The Role of Variety in Increasing the Consumption of Fruits and Vegetables Among Children," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(1), pages 72-81, April.
    10. Cawley, John & Meyerhoefer, Chad, 2012. "The medical care costs of obesity: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 31(1), pages 219-230.
    11. Nicholas E. Piggott, 2003. "The Nested PIGLOG Model: An Application to U.S. Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 1-15.
    12. Patrice Bertail & France Caillavet, 2008. "Fruit and Vegetable Consumption Patterns: A Segmentation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 827-842.
    13. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    14. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    15. Nzaku, Kilungu & Houston, Jack E. & Fonsah, Esendugue Greg, 2010. "Analysis of U.S. Demand for Fresh Fruit and Vegetable Imports," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 28(2), pages 1-19.
    16. Dong, Diansheng & Lin, Biing-Hwan, 2009. "Fruit and Vegetable Consumption by Low-Income Americans: Would a Price Reduction Make a Difference?," Economic Research Report 55835, United States Department of Agriculture, Economic Research Service.
    17. Lyndall Strazdins & Amy L Griffin & Dorothy H Broom & Cathy Banwell & Rosemary Korda & Jane Dixon & Francesco Paolucci & John Glover, 2011. "Time Scarcity: Another Health Inequality?," Environment and Planning A, , vol. 43(3), pages 545-559, March.
    18. Chen Zhen & Eric A. Finkelstein & James M. Nonnemaker & Shawn A. Karns & Jessica E. Todd, 2014. "Predicting the Effects of Sugar-Sweetened Beverage Taxes on Food and Beverage Demand in a Large Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 1-25.
    19. Jeffrey T. LaFrance & W. Michael Hanemann, 1989. "The Dual Structure of Incomplete Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 262-274.
    20. Liran Einav & Ephraim Leibtag & Aviv Nevo, 2010. "Recording discrepancies in Nielsen Homescan data: Are they present and do they matter?," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 207-239, June.
    21. Geir Wæhler Gustavsen & Kyrre Rickertsen, 2006. "A Censored Quantile Regression Analysis of Vegetable Demand: The Effects of Changes in Prices and Total Expenditure," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 631-645, December.
    22. Stewart, Hayden & Hyman, Jeffrey & Buzby, Jean C. & Frazao, Elizabeth & Carlson, Andrea, 2011. "How Much Do Fruits and Vegetables Cost?," Economic Information Bulletin 101280, United States Department of Agriculture, Economic Research Service.
    23. Carle C. Zimmerman, 1932. "Ernst Engel's Law of Expenditures for Food," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 47(1), pages 78-101.
    24. Panagiotis Kasteridis & Steven T. Yen, 2012. "U.S. demand for organic and conventional vegetables: a Bayesian censored system approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 405-425, July.
    25. Niu, Luyuan & Wohlgenant, Michael K., 2012. "A Censored Demand System Analysis of Fruits and Vegetables by Different Income Groups Using Micro Data," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123946, Agricultural and Applied Economics Association.
    26. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    27. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    28. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    29. 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.
    30. Regmi, Anita & Gehlhar, Mark, 2001. "Consumer Preferences and Concerns Shape Global Food Trade," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 24(3), pages 1-7.
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    2. Joey Blumberg & Gary Thompson, 2022. "Nonparametric segmentation methods: Applications of unsupervised machine learning and revealed preference," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(3), pages 976-998, May.
    3. Ghazaryan, Armen & Bonanno, Alessandro & Carlson, Andrea, 2023. "I Say Milk, You Say Mylk. Demand Separability in a Broadened Milk Category," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(2), May.

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