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Do Income Constraints Inhibit Spending on Fruits and Vegetables Among Low-Income Households?

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Author Info

  • Stewart, Hayden
  • Blisard, Noel
  • Jolliffe, Dean

Abstract

This study assesses whether income constraints inhibit spending on fruits and vegetables among low-income households. If this is the case, then it is hypothesized that the distribution of expenditures on fruits and vegetables by low-income households should be stochastically dominated by the distribution of expenditures on these same food items by other households. Moreover, it must be the case that low-income households would increase their spending on fruits and vegetables in response to an increase in their income. Using household data from the 2000 Consumer Expenditure Survey, a test of stochastic dominance is performed. Censored quantile regressions are also estimated at selected points of the conditional expenditure distribution. Low income households are found to spend less on fruits and vegetables than other households, but they are not responsive to changes in income.

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File URL: http://purl.umn.edu/31064
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Bibliographic Info

Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

Volume (Year): 28 (2003)
Issue (Month): 03 (December)
Pages:

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Handle: RePEc:ags:jlaare:31064

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Web page: http://waeaonline.org/
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Related research

Keywords: censored least absolute deviations; consumption; fruits and vegetables; low-income households; nutrition; sample design; stochastic dominance; Consumer/Household Economics;

References

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  1. Kantor, Linda Scott, 1998. "A Dietary Assessment of the U.S. Food Supply: Comparing Per Capita Food Consumption with Food Guide Pyramid Serving Recommendations," Agricultural Economics Reports 34079, United States Department of Agriculture, Economic Research Service.
  2. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
  3. Blisard, Noel & Variyam, Jayachandran N. & Cromartie, John, 2003. "Food Expenditures By U.S. Households: Looking Ahead To 2020," Agricultural Economics Reports 34045, United States Department of Agriculture, Economic Research Service.
  4. Dean Jolliffe & Bohdan Krushelnytskyy & Anastassia Semykina, 2001. "Censored least absolute deviations estimator: CLAD," Stata Technical Bulletin, StataCorp LP, vol. 10(58).
  5. Breunig, Robert & Dasgupta, Indraneel & Gundersen, Craig & Pattanaik, Prasanta, 2001. "Explaining The Food Stamp Cash-Out Puzzle," Food Assistance and Nutrition Research Reports 33869, United States Department of Agriculture, Economic Research Service.
  6. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
  7. Parke E. Wilde & Paul E. McNamara & Christine K. Ranney, 1999. "The Effect of Income and Food Programs on Dietary Quality: A Seemingly Unrelated Regression Analysis with Error Components," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 959-971.
  8. Cowell, F.A., 2000. "Measurement of inequality," Handbook of Income Distribution, in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 2, pages 87-166 Elsevier.
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Citations

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Cited by:
  1. Reed, Jane & Frazao, Elizabeth & Itskowitz, Rachel, 2004. "How Much Do Americans Pay for Fruits and Vegetables?," Agricultural Information Bulletins 33691, United States Department of Agriculture, Economic Research Service.
  2. Gustavsen, Geir Waehler & Jolliffe, Dean & Rickertsen, Kyrre, 2008. "Censored Quantile Regression and Purchases of Ice Cream," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6534, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Kang Ernest Liu & Hung-Hao Chang & Wen S. Chern, 2011. "Examining changes in fresh fruit and vegetable consumption over time and across regions in urban China," China Agricultural Economic Review, Emerald Group Publishing, vol. 3(3), pages 276-296, September.
  4. Liu, Kang Ernest & Chang, Hung-Hao & Chern, Wen S., 2008. "Changes in Fruit and Vegetable Consumption over Time and across Regions in China: A Difference-in-Differences Analysis with Quantile Regression," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6531, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  5. Carlson, Andrea & Frazao, Elizabeth, 2012. "Are Healthy Foods Really More Expensive? It Depends on How You Measure the Price," Economic Information Bulletin 142357, United States Department of Agriculture, Economic Research Service.
  6. Gustavsen, Geir Wæhler & Rickertsen, Kyrre, 2013. "Adjusting VAT rates to promote healthier diets in Norway: A censored quantile regression approach," Food Policy, Elsevier, vol. 42(C), pages 88-95.
  7. Hu, Xiaowen & Stowe, C. Jill, 2013. "The Effect of Income on Health Choices: Alcohol Use," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143060, Southern Agricultural Economics Association.
  8. Blisard, Noel & Stewart, Hayden & Jolliffe, Dean, 2004. "Low-Income Households' Expenditures On Fruits And Vegetables," Agricultural Economics Reports 34041, United States Department of Agriculture, Economic Research Service.
  9. Gustavsen, Geir Waehler, 2005. "Public Policies and the Demand for Carbonated Soft Drinks: A Censored Quantile Regression Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24737, European Association of Agricultural Economists.
  10. Stewart, Hayden & Blisard, Noel, 2006. "Household versus Community Effects: Who Really Pays More for Food?," 2006 Annual meeting, July 23-26, Long Beach, CA 21053, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  11. Gustavsen, Geir Waehler & Rickertsen, Kyrre, 2004. "For Whom Reduced Prices Count: A Censored Quantile Regression Analysis Of Vegetable Demand," 2004 Annual meeting, August 1-4, Denver, CO 20172, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  12. Stewart, Hayden & Blisard, Noel, 2006. "The Thrifty Food Plan and low-income households in the United States: What food groups are being neglected?," Food Policy, Elsevier, vol. 31(5), pages 469-482, October.
  13. Stewart, Hayden & Blisard, Noel, 2008. "Are Lower Income Households Willing and Able To Budget for Fruits and Vegetables?," Economic Research Report 56446, United States Department of Agriculture, Economic Research Service.
  14. Meng, Ting & Florkowski, Wojciech J. & Sarpong, Daniel Bruce & Resurreccion, Anna V.A. & Chinnan, Manjeet S., 2013. "The Determinants of Food Expenditures in the Urban Households of Ghana: A Quantile Regression Approach," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143033, Southern Agricultural Economics Association.
  15. Carlson, Andrea & Dong, Diansheng & Lino, Mark, 2010. "Are The Total Daily Cost Of Food And Diet Quality Related: A Random Effects Panel Data Analysis," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116395, European Association of Agricultural Economists.

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