IDEAS home Printed from https://ideas.repec.org/p/ags/ucbecw/37652.html
   My bibliography  Save this paper

Are Restaurants Really Supersizing America?

Author

Listed:
  • Anderson, Michael L.
  • Matsa, David A.

Abstract

While many researchers and policymakers infer from correlations between eating out and body weight that restaurants are a leading cause of obesity, a basic identification problem challenges these conclusions. We exploit the placement of Interstate highways in rural areas to obtain exogenous variation in the effective price of restaurants and examine the impact on body mass. We find no causal link between restaurant consumption and obesity. Analysis of food-intake micro-data suggests that consumers offset calories from restaurant meals by eating less at other times. We conclude that regulation targeting restaurants is unlikely to reduce obesity but could decrease consumer welfare.

Suggested Citation

  • Anderson, Michael L. & Matsa, David A., 2007. "Are Restaurants Really Supersizing America?," CUDARE Working Papers 37652, University of California, Berkeley, Department of Agricultural and Resource Economics.
  • Handle: RePEc:ags:ucbecw:37652
    DOI: 10.22004/ag.econ.37652
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/37652/files/Anderson%20CUDARE%201056R4%20.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.37652?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chandra, Amitabh & Thompson, Eric, 2000. "Does public infrastructure affect economic activity?: Evidence from the rural interstate highway system," Regional Science and Urban Economics, Elsevier, vol. 30(4), pages 457-490, July.
    2. Guy Michaels, 2008. "The Effect of Trade on the Demand for Skill: Evidence from the Interstate Highway System," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 683-701, November.
    3. Jérôme Adda & Francesca Cornaglia, 2006. "Taxes, Cigarette Consumption, and Smoking Intensity," American Economic Review, American Economic Association, vol. 96(4), pages 1013-1028, September.
    4. Lesley Chiou, 2009. "Empirical Analysis of Competition between Wal‐Mart and Other Retail Channels," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(2), pages 285-322, June.
    5. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
    6. Nicholas E. Piggott, 2003. "The Nested PIGLOG Model: An Application to U.S. Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 1-15.
    7. Darius Lakdawalla & Tomas Philipson, 2002. "The Growth of Obesity and Technological Change: A Theoretical and Empirical Examination," Working Papers 0203, Harris School of Public Policy Studies, University of Chicago.
    8. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records: Errata," American Economic Review, American Economic Association, vol. 80(5), pages 1284-1286, December.
    9. Jessica Wisdom & Julie S. Downs & George Loewenstein, 2010. "Promoting Healthy Choices: Information versus Convenience," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 164-178, April.
    10. Davis, B. & Carpenter, C., 2009. "Proximity of fast-food restaurants to schools and adolescent obesity," American Journal of Public Health, American Public Health Association, vol. 99(3), pages 505-510.
    11. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," American Economic Review, American Economic Association, vol. 80(3), pages 313-336, June.
    12. Atsushi Inoue & Gary Solon, 2010. "Two-Sample Instrumental Variables Estimators," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 557-561, August.
    13. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    14. Currie, Janet & DellaVigna, Stefano & Moretti, Enrico & Pathania, Vikram, 2009. "The Effect of Fast Food Restaurants on Obesity," Working Papers 47830, American Association of Wine Economists.
    15. Thomas D. Jeitschko & Rowena A. Pecchenino, 2006. "Do You Want Fries with That? An Exploration of Serving Size, Social Welfare, and Our Waistlines," Economic Inquiry, Western Economic Association International, vol. 44(3), pages 442-450, July.
    16. Darius Lakdawalla & Tomas Philipson & Jay Bhattacharya, 2005. "Welfare-Enhancing Technological Change and the Growth of Obesity," American Economic Review, American Economic Association, vol. 95(2), pages 253-257, May.
    17. Peltzman, Sam, 1975. "The Effects of Automobile Safety Regulation," Journal of Political Economy, University of Chicago Press, vol. 83(4), pages 677-725, August.
    18. John L. Park & Rodney B. Holcomb & Kellie Curry Raper & Oral Capps, 1996. "A Demand Systems Analysis of Food Commodities by U.S. Households Segmented by Income," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 290-300.
    Full references (including those not matched with items on IDEAS)

    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. Lichtman-Sadot, Shirlee, 2016. "Does banning carbonated beverages in schools decrease student consumption?," Journal of Public Economics, Elsevier, vol. 140(C), pages 30-50.
    2. David O. Meltzer & Zhuo Chen, 2011. "The Impact of Minimum Wage Rates on Body Weight in the United States," NBER Chapters, in: Economic Aspects of Obesity, pages 17-34, National Bureau of Economic Research, Inc.
    3. Okrent, Abigail M. & Alston, Julian M., 2012. "The Demand for Disaggregated Food-Away-from-Home and Food-at-Home Products in the United States," Economic Research Report 132469, United States Department of Agriculture, Economic Research Service.
    4. Peter Siminski, 2013. "Employment Effects of Army Service and Veterans' Compensation: Evidence from the Australian Vietnam-Era Conscription Lotteries," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 87-97, March.
    5. David Johnston & Wang-Sheng Lee, 2011. "Explaining the Female Black-White Obesity Gap: A Decomposition Analysis of Proximal Causes," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1429-1450, November.
    6. Jean Eid & Henry Overman & Diego Puga & Matthew Turner, 2006. "Fat City: The Relationship Between Urban Sprawl and Obesity," CEP Discussion Papers dp0758, Centre for Economic Performance, LSE.
    7. Chouinard, Hayley H & Davis, David E. & LaFrance, Jeffrey T. & Perloff, Jeffrey M, 2005. "The Effects of a Fat Tax on Dairy Products," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt60t1f3tn, Department of Agricultural & Resource Economics, UC Berkeley.
    8. Stephan Heblich & Stephen J Redding & Daniel M Sturm, 2020. "The Making of the Modern Metropolis: Evidence from London," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2059-2133.
    9. Fletcher, Jason M. & Frisvold, David E. & Tefft, Nathan, 2010. "The effects of soft drink taxes on child and adolescent consumption and weight outcomes," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 967-974, December.
    10. Kadir Atalay & Garry F. Barrett & Peter Siminski, 2019. "Pension incentives and the joint retirement of couples: evidence from two natural experiments," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(3), pages 735-767, July.
    11. Lisa M. Powell & Frank J. Chaloupka, 2011. "Economic Contextual Factors and Child Body Mass Index," NBER Chapters, in: Economic Aspects of Obesity, pages 127-144, National Bureau of Economic Research, Inc.
    12. Buttet, Sebastien & Dolar, Veronika, 2015. "Toward a quantitative theory of food consumption choices and body weight," Economics & Human Biology, Elsevier, vol. 17(C), pages 143-156.
    13. Alois Stutzer & Armando N. Meier, 2016. "Limited Self‐control, Obesity, and the Loss of Happiness," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1409-1424, November.
    14. Julian M. Alston & Joanna P. MacEwan & Abigail M. Okrent, 2016. "Effects of U.S. Public Agricultural R&D on U.S. Obesity and its Social Costs," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 492-520.
    15. Currie, Janet & DellaVigna, Stefano & Moretti, Enrico & Pathania, Vikram, 2009. "The Effect of Fast Food Restaurants on Obesity," Working Papers 47830, American Association of Wine Economists.
    16. Peter Siminski & Simon Ville, 2012. "I Was Only Nineteen, 45 Years Ago: What Can we Learn from Australia’s Conscription Lotteries?," Economics Working Papers wp12-06, School of Economics, University of Wollongong, NSW, Australia.
    17. Grenet, Julien & Hart, Robert A. & Roberts, J. Elizabeth, 2011. "Above and beyond the call. Long-term real earnings effects of British male military conscription in the post-war years," Labour Economics, Elsevier, vol. 18(2), pages 194-204, April.
    18. Redding, Stephen, 2021. "Suburbanization in the United States 1970-2010," CEPR Discussion Papers 16174, C.E.P.R. Discussion Papers.
    19. Huffman, Sonya K. & Rizov, Marian, 2007. "Determinants of obesity in transition economies: The case of Russia," Economics & Human Biology, Elsevier, vol. 5(3), pages 379-391, December.
    20. Bauer, Thomas K. & Bender, Stefan & Paloyo, Alfredo R. & Schmidt, Christoph M., 2012. "Evaluating the labor-market effects of compulsory military service," European Economic Review, Elsevier, vol. 56(4), pages 814-829.

    More about this item

    Keywords

    Food Consumption/Nutrition/Food Safety; Health Economics and Policy;

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

    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:ags:ucbecw:37652. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dabrkus.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.