IDEAS home Printed from https://ideas.repec.org/p/aua/wpaper/2009-05.html
   My bibliography  Save this paper

Can nutritional label use influence body weight outcomes?

Author

Listed:
  • Andreas Drichoutis

    (Department of Economics, University of Ioannina, Greece)

  • Rodolfo M. Nayga, Jr.

    (Department of Agricultural Economics & Agribusiness, University of Arkansas, USA)

  • Panagiotis Lazaridis

    (Department of Agricultural Economics & Rural Development, Agricultural University of Athens, Greece)

Abstract

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.

Suggested Citation

  • Andreas Drichoutis & Rodolfo M. Nayga, Jr. & Panagiotis Lazaridis, 2009. "Can nutritional label use influence body weight outcomes?," Working Papers 2009-05, Agricultural University of Athens, Department Of Agricultural Economics.
    • Handle: RePEc:aua:wpaper:2009-05
    as

    Download full text from publisher

    File URL: http://aoatools.aua.gr/RePEc/aua/wpaper/files/2009-5_Drichoutis_et_al.pdf
    File Function: Version 1
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. 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.
    4. 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.
    5. 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.
    6. 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(1), pages 1-17, July.
    7. Hung‐Lin Tao, 2008. "Attractive Physical Appearance vs. Good Academic Characteristics: Which Generates More Earnings?," Kyklos, Wiley Blackwell, vol. 61(1), pages 114-133, February.
    8. 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, February.
    9. Jayachandran N. Variyam, 2008. "Do nutrition labels improve dietary outcomes?," Health Economics, John Wiley & Sons, Ltd., vol. 17(6), pages 695-708, June.
    10. Lisa E. Bolton & Joel B. Cohen & Paul N. Bloom, 2006. "Does Marketing Products as Remedies Create "Get Out of Jail Free Cards"?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(1), pages 71-81, June.
    11. 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.
    12. Russo, J Edward, et al, 1986. "Nutrition Information in the Supermarket," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(1), pages 48-70, June.
    13. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    14. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    15. 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, January.
    16. 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.
    17. Lu B. & Zanutto E. & Hornik R. & Rosenbaum P.R., 2001. "Matching With Doses in an Observational Study of a Media Campaign Against Drug Abuse," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1245-1253, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. L. Behrenz & L. Delander & J. Månsson, 2016. "Is Starting a Business a Sustainable way out of Unemployment? Treatment Effects of the Swedish Start-up Subsidy," Journal of Labor Research, Springer, vol. 37(4), pages 389-411, December.
    2. D. Fang & R. M. Nayga & H. A. Snell & G. H. West & C. Bazzani, 2019. "Evaluating USA’s New Nutrition and Supplement Facts Label: Evidence from a Non-hypothetical Choice Experiment," Journal of Consumer Policy, Springer, vol. 42(4), pages 545-562, December.
    3. Georgia S. Papoutsi & Andreas C. Drichoutis & Rodolfo M. Nayga Jr., 2013. "The Causes Of Childhood Obesity: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 27(4), pages 743-767, September.
    4. Gong, Xuche & Yuan, Yan, 2017. "The Effect of School Transfers on Academic and Non-academic Performance of Rural-to-Urban Migrant Children in China," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259178, Agricultural and Applied Economics Association.
    5. Brandon J. Restrepo, 2017. "Calorie Labeling in Chain Restaurants and Body Weight: Evidence from New York," Health Economics, John Wiley & Sons, Ltd., vol. 26(10), pages 1191-1209, October.
    6. Fabrice Etilé, 2019. "The Economics of Diet and Obesity: Public Policy," Post-Print hal-02154445, HAL.
    7. Ran, Tao & Yue, Chengyan & Rihn, Alicia, 2015. "Are Grocery Shoppers of Households with Weight-Concerned Members Willing to Pay More for Nutritional Information on Food?," Journal of Food Distribution Research, Food Distribution Research Society, vol. 46(3), pages 1-18, November.
    8. Vinoles, Maria V. & You, Wen & Nayga, Rodolfo M. Jr., 2013. "Parental Nutrition Label Usage and Children's Dietary-related Outcomes," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151274, Agricultural and Applied Economics Association.
    9. Di Fang & Michael R. Thomsen & Rodolfo M. Nayga & Aaron M. Novotny, 2019. "WIC Participation and Relative Quality of Household Food Purchases: Evidence from FoodAPS," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 83-105, July.
    10. Brunello, Giorgio & De Paola, Maria & Labartino, Giovanna, 2012. "More Apples Less Chips? The Effect of School Fruit Schemes on the Consumption of Junk Food," IZA Discussion Papers 6496, Institute of Labor Economics (IZA).
    11. Anders, Sven & Schroeter, Christiane, 2015. "The Impact of Nutritional Supplement Choices on Diet Behavior and Obesity Outcomes," 2016 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2016, San Francisco, California 212806, Agricultural and Applied Economics Association.
    12. Berning, Joshua P. & Chouinard, Hayley H. & Manning, Kenneth C. & McCluskey, Jill J. & Sprott, David E., 2010. "Identifying consumer preferences for nutrition information on grocery store shelf labels," Food Policy, Elsevier, vol. 35(5), pages 429-436, October.
    13. Chang, Hung-Hao & Nayga Jr., Rodolfo M., 2011. "Mother's nutritional label use and children's body weight," Food Policy, Elsevier, vol. 36(2), pages 171-178, April.
    14. House, Lisa & Kim, Hyeyoung & Gao, Zhifeng & Rampersaud, Gail S., 2011. "Beverage Front of Package Nutrition Labels and Consumer Perception of Nutrition Information," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 109190, Agricultural and Applied Economics Association.
    15. Brunello, Giorgio & De Paola, Maria & Labartino, Giovanna, 2014. "More apples fewer chips? The effect of school fruit schemes on the consumption of junk food," Health Policy, Elsevier, vol. 118(1), pages 114-126.
    16. Schroeter, Christiane & Anders, Sven M., 2013. "Nutrition Label Usage, Diet Health Behavior, and Information Uncertainty," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151214, Agricultural and Applied Economics Association.
    17. Edenbrandt, Anna Kristina & Smed, Sinne, 2018. "Exploring the correlation between self-reported preferences and actual purchases of nutrition labeled products," Food Policy, Elsevier, vol. 77(C), pages 71-80.
    18. Ehmke, Mariah D. & Willson, Tina M. & Schroeter, Christiane & Hart, Ann Marie & Coupal, Roger H., 2009. "Obesity Economics for the Western United States," Western Economics Forum, Western Agricultural Economics Association, vol. 8(2), pages 1-13.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    2. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    3. Stephen L. Morgan & David J. Harding, 2006. "Matching Estimators of Causal Effects," Sociological Methods & Research, , vol. 35(1), pages 3-60, August.
    4. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    5. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    6. Edlira Shehu & Tim Prostka & Christina Schmidt-Stölting & Michel Clement & Eva Blömeke, 2014. "The influence of book advertising on sales in the German fiction book market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(2), pages 109-130, May.
    7. 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, February.
    8. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    9. Wendimu, Mengistu Assefa & Henningsen, Arne & Gibbon, Peter, 2016. "Sugarcane Outgrowers in Ethiopia: “Forced” to Remain Poor?," World Development, Elsevier, vol. 83(C), pages 84-97.
    10. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    11. Schilling, Brian J. & Attavanich, Witsanu & Jin, Yanhong, 2014. "Does Agritourism Enhance Farm Profitability?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-28, April.
    12. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    13. Urban, Dieter M & Weder di Mauro, Beatrice & Moser, Christoph, 2009. "Offshoring, Firm Performance and Establishment-Level Employment: Identifying Productivity and Downsizing Effects," CEPR Discussion Papers 7455, C.E.P.R. Discussion Papers.
    14. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    15. Olivier Dagnelie & Philippe Lemay‐Boucher, 2012. "Rosca Participation in Benin: A Commitment Issue," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 235-252, April.
    16. Ramírez-Álvarez, Aurora Alejandra, 2019. "Land titling and its effect on the allocation of public goods: Evidence from Mexico," World Development, Elsevier, vol. 124(C), pages 1-1.
    17. Fatema, Naureen, 2019. "Can land title reduce low-intensity interhousehold conflict incidences and associated damages in eastern DRC?," World Development, Elsevier, vol. 123(C), pages 1-1.
    18. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    19. Enrico Vanino & Stephen Roper & Bettina Becker, 2020. "Knowledge to Money: Assessing the Business Performance Effects of Publicly Funded R&D Grants," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(04), pages 20-24, January.
    20. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).

    More about this item

    Keywords

    Nutritional Labels; Body Mass Index; Propensity Score Matching; sensitivity analysis;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aua:wpaper:2009-05. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kremmydas dimitrios (email available below). General contact details of provider: https://edirc.repec.org/data/daauagr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.