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Expenditure Dispersion and Dietary Quality: Evidence from Canada

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  • Timothy K.M. Beatty

Abstract

This paper examines links between the way in which a household spreads their food expenditure over time and the dietary quality of the food they purchase. I find that households who make more frequent, smaller food purchases buy healthier foods than households who make fewer, larger purchases. These households are more likely to purchase foods with a lower share of total calories from fats, saturated fats and a larger share of calories from fruits and vegetables. The analysis is extended using quantile regression. The effect of expenditure dispersion is found to be largest among households with poor diets i.e. those households with diets high in saturated fats and low in fruits and vegetables. Copyright © 2008 John Wiley & Sons, Ltd.
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  • Timothy K.M. Beatty, 2007. "Expenditure Dispersion and Dietary Quality: Evidence from Canada," Health, Econometrics and Data Group (HEDG) Working Papers 07/13, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:07/13
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    1. Crawford, Ian & Laisney, Francois & Preston, Ian, 2003. "Estimation of household demand systems with theoretically compatible Engel curves and unit value specifications," Journal of Econometrics, Elsevier, vol. 114(2), pages 221-241, June.
    2. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    3. L. Wade, 1988. "Review," Public Choice, Springer, vol. 58(1), pages 99-100, July.
    4. Jayachandran N. Variyam & James Blaylock & David Smallwood, 2002. "Characterizing the Distribution of Macronutrient Intake among U.S. Adults: A Quantile Regression Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 454-466.
    5. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, January.
    6. Rodolfo Nayga, 2000. "Schooling, health knowledge and obesity," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 815-822.
    7. Susan Horton & Cathy Campbell, 1991. "Wife's Employment, Food Expenditures, and Apparent Nutrient Intake: Evidence from Canada," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 784-794.
    8. Peter M. Feather, 2003. "Valuing Food Store Access: Policy Implications for the Food Stamp Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 162-172.
    9. Adesoji O. Adelaja & Rodolfo M. Nayga & Tara C. Lauderbach, 1997. "Income and Racial Differentials in Selected Nutrient Intakes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(5), pages 1452-1460.
    10. Bhattacharya, Jayanta & Currie, Janet & Haider, Steven, 2004. "Poverty, food insecurity, and nutritional outcomes in children and adults," Journal of Health Economics, Elsevier, vol. 23(4), pages 839-862, July.
    11. Kellie Curry Raper & Maria Namakhoye Wanzala & Rodolfo Nayga, 2002. "Food expenditures and household demographic composition in the US: a demand systems approach," Applied Economics, Taylor & Francis Journals, vol. 34(8), pages 981-992.
    12. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    13. Hogbin, Myrtle & Davis, Carole & Escobar, Alyson, 1999. "Preparing Nutritious Meals at Minimal Cost," CNPP Reports 311365, United States Department of Agriculture, Center for Nutrition Policy and Promotion.
    14. Kaufman, Phillip R. & MacDonald, James M. & Lutz, Steve M. & Smallwood, David M., 1997. "Do the Poor Pay More for Food? Item Selection and Price Differences Affect Low-Income Household Food Costs," Agricultural Economic Reports 34065, United States Department of Agriculture, Economic Research Service.
    15. Naeem Ahmed & Matthew Brzozowski & Thomas Crossley, 2006. "Measurement errors in recall food consumption data," IFS Working Papers W06/21, Institute for Fiscal Studies.
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    Cited by:

    1. Rudi, Jeta & Çakir, Metin, 2015. "The Effect of Grocery Shopping Frequency on the Healthfulness of Food Purchases," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202717, European Association of Agricultural Economists.
    2. Audrey Laporte & Alfia Karimova & Brian Ferguson, 2010. "Quantile regression analysis of the rational addiction model: investigating heterogeneity in forward‐looking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1063-1074, September.
    3. Capacci, Sara & Leucci, Anna Caterina & Mazzocchi, Mario, 2018. "There is no such thing as a (gluten-)free lunch: Higher food prices and the cost for coeliac consumers," Economics & Human Biology, Elsevier, vol. 30(C), pages 84-91.
    4. Rudi, Jeta & Çakır, Metin, 2017. "Vice or virtue: How shopping frequency affects healthfulness of food choices," Food Policy, Elsevier, vol. 69(C), pages 207-217.

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