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Five-a-day, a price to pay: An evaluation of the UK program impact accounting for market forces

  • Capacci, Sara
  • Mazzocchi, Mario

We provide an ex-post assessment of the UK 5-a-day information campaign, where the positive effects of information are disentangled from potentially conflicting price dynamics. Using 4 years of data from the Expenditure and Food Survey between 2002 and 2006, we estimate that the 5-a-day program has lifted fruit and vegetable consumption by 0.3 portions, on average. We also provide quantitative evidence of a differentiated impact by income group, ranging from 0.2 to 0.7 portions. All impacts are larger than those observed by simply comparing pre-policy and post-policy intakes.

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Article provided by Elsevier in its journal Journal of Health Economics.

Volume (Year): 30 (2011)
Issue (Month): 1 (January)
Pages: 87-98

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Handle: RePEc:eee:jhecon:v:30:y:2011:i:1:p:87-98
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  1. Nordström, Jonas & Thunström, Linda, 2007. "The Impact of Tax Reforms Designed to Encourage a Healthier Grain Consumption," HUI Working Papers 11, HUI Research.
  2. 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.
  3. Beverly Tepper & Lee Rosenzweig, 1999. "Assessing the importance of health and nutrition related factors on food demand: a variable preference investigation," Applied Economics, Taylor & Francis Journals, vol. 31(12), pages 1541-1549.
  4. David G. Swartz & Ivar E. Strand, Jr., 1981. "Avoidance Costs Associated with Imperfect Information: The Case of Kepone," Land Economics, University of Wisconsin Press, vol. 57(2), pages 139-150.
  5. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  6. Caliendo, Marco & Hujer, Reinhard, 2005. "The Microeconometric Estimation of Treatment Effects - An Overview," IZA Discussion Papers 1653, Institute for the Study of Labor (IZA).
  7. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
  8. Deaton, A., 1990. "Price Elasticities From Surveys Data: Extensions And Indonesian Results," Papers 69, World Bank - Living Standards Measurement.
  9. 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.
  10. 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.
  11. Wohlgenant, Michael K., 2006. "Retail-to-Farm Transmission of Generic Advertising Effects," Choices, Agricultural and Applied Economics Association, vol. 21(2).
  12. Keuzenkamp, Hugo A. & Barten, Anton P., 1995. "Rejection without falsification on the history of testing the homogeneity condition in the theory of consumer demand," Journal of Econometrics, Elsevier, vol. 67(1), pages 103-127, May.
  13. Preston, Ian & Laisney, François & Crawford, Ian A., 2002. "Estimation of Household Demand Systems with Theoretically Compatible Engel Curves and Unit Value Specifications," ZEW Discussion Papers 97-06 [rev.], ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  14. Schroeter, Christiane & Lusk, Jayson & Tyner, Wallace, 2008. "Determining the impact of food price and income changes on body weight," Journal of Health Economics, Elsevier, vol. 27(1), pages 45-68, January.
  15. D Moro & P Sckokai, 2000. "Heterogeneous preferences in household food consumption in Italy," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 27(3), pages 305-323, September.
  16. Deaton, A., 1988. "Quality, Quantity, And Spatial Variation Of Price," Papers 30, World Bank - Living Standards Measurement.
  17. Fuchs, Victor R., 2004. "Reflections on the socio-economic correlates of health," Journal of Health Economics, Elsevier, vol. 23(4), pages 653-661, July.
  18. Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 154-174.
  19. Nicholas E. Piggott, 2000. "The Incidence of the Costs and Benefits of Generic Advertising," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(3), pages 665-671.
  20. Julian M. Alston & John W. Freebairn & Jennifer S. James, 2001. "Beggar-Thy-Neighbor Advertising: Theory and Application to Generic Commodity Promotion Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 888-902.
  21. 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.
  22. Alston, Julian M. & Sumner, Daniel A. & Vosti, Stephen A., 2008. "Farm subsidies and obesity in the United States: National evidence and international comparisons," Food Policy, Elsevier, vol. 33(6), pages 470-479, December.
  23. J. Miguel Villas-Boas & Russell S. Winer, 1999. "Endogeneity in Brand Choice Models," Management Science, INFORMS, vol. 45(10), pages 1324-1338, October.
  24. Mazzocchi, Mario & Traill, W. Bruce & Shogren, Jason F., 2009. "Fat Economics: Nutrition, Health, and Economic Policy," OUP Catalogue, Oxford University Press, number 9780199213863, December.
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