Can nutritional label use influence body weight outcomes?
Nutritional labeling has been of much interest to policy makers and health advocates due to rising obesity trends. So can nutritional label use really help reduce body weight outcomes? This study evaluates the impact of nutritional label use on body weight using the propensity score matching technique. We conducted a series of tests related to variable choice of the propensity score specification, quality of matching indicators, robustness checks, and sensitivity to unobserved heterogeneity using Rosenbaum bounds to validate our propensity score exercise. Our results generally suggest that nutritional label use does not affect body mass index. Implications of our findings are discussed.
|Date of creation:||2009|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.aoa.aua.gr|
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- Marco Caliendo & Sabine Kopeinig, 2005.
"Some Practical Guidance for the Implementation of Propensity Score Matching,"
Discussion Papers of DIW Berlin
485, DIW Berlin, German Institute for Economic Research.
- Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, 02.
- Caliendo, Marco & Kopeinig, Sabine, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," IZA Discussion Papers 1588, Institute for the Study of Labor (IZA).
- Mario F. Teisl & Nancy E. Bockstael & Alan Levy, 2001. "Measuring the Welfare Effects of Nutrition Information," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 133-149.
- Heckman, James & Navarro-Lozano, Salvador, 2003.
"Using matching, instrumental variables and control functions to estimate economic choice models,"
Working Paper Series
2003:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
- James J. Heckman & Salvador Navarro-Lozano, 2003. "Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models," NBER Working Papers 9497, National Bureau of Economic Research, Inc.
- Heckman, James J. & Navarro, Salvador, 2003. "Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models," IZA Discussion Papers 768, Institute for the Study of Labor (IZA).
- Black, Dan A. & Smith, J.A.Jeffrey A., 2004.
"How robust is the evidence on the effects of college quality? Evidence from matching,"
Journal of Econometrics,
Elsevier, vol. 121(1-2), pages 99-124.
- Dan A. Black & Jeffrey Smith, 2003. "How Robust is the Evidence on the Effects of College Quality? Evidence From Matching," University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers 20033, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
- Maria L. Loureiro & Rodolfo M. Nayga, 2005. "International Dimensions of Obesity and Overweight Related Problems: An Economics Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1147-1153.
- Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, 01.
- Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
- Kim, Sung-Yong & Nayga, Rodolfo M., Jr. & Capps, Oral, Jr., 2000. "The Effect Of Food Label Use On Nutrient Intakes: An Endogenous Switching Regression Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(01), July.
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