IDEAS home Printed from https://ideas.repec.org/a/kap/atlecj/v46y2018i4d10.1007_s11293-018-9602-x.html
   My bibliography  Save this article

Evidence of Large-Scale Social Interactions in Mammography in the United States

Author

Listed:
  • Natallia Gray

    (Southeast Missouri State University)

  • Gabriel Picone

    (University of South Florida)

Abstract

This paper examines the extent of social interactions in an individual’s decision to undergo mammography. Using Behavioral Risk Factors Surveillance System surveys from 1993 to 2016, the effect of other female screening behavior on an individual’s decision to have a routine breast cancer screening was measured by calculating the size of a so called “social multiplier” in mammography. A vector of social multipliers was estimated in the use of mammograms in the past 1–2 years by taking the ratio of group-level effects of exogenous explanatory variables to individual-level effects of the same variables. Peer groups were defined as same-aged women living in the same state. Three age groups of women were considered: 40–49, 50–74, and 75 and older. Several econometric approaches were used to analyze the effect of social interactions on mammography use, including ordinary least squares, fixed effects, and split-sample instrumental variable. For all women, evidence was found of social interactions associated with individual’s education, employment, and poor health. In addition, number of age-group-specific social multipliers was found. The strongest evidence of spillover in mammography was found for women ages 75 and older. Policy makers should be aware that, in the presence of a social multiplier, the value of any type of screening intervention is higher than the one that would be measured at the individual-level.

Suggested Citation

  • Natallia Gray & Gabriel Picone, 2018. "Evidence of Large-Scale Social Interactions in Mammography in the United States," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(4), pages 441-457, December.
  • Handle: RePEc:kap:atlecj:v:46:y:2018:i:4:d:10.1007_s11293-018-9602-x
    DOI: 10.1007/s11293-018-9602-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11293-018-9602-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11293-018-9602-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Auld, M. Christopher, 2011. "Effect of large-scale social interactions on body weight," Journal of Health Economics, Elsevier, vol. 30(2), pages 303-316, March.
    2. Carrieri, Vincenzo & Wuebker, Ansgar, 2013. "Assessing inequalities in preventive care use in Europe," Health Policy, Elsevier, vol. 113(3), pages 247-257.
    3. repec:dau:papers:123456789/7402 is not listed on IDEAS
    4. David Card & Laura Giuliano, 2013. "Peer Effects and Multiple Equilibria in the Risky Behavior of Friends," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1130-1149, October.
    5. Bénédicte Apouey & Gabriel Picone, 2014. "Social Interactions And Malaria Preventive Behaviors In Sub‐Saharan Africa," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 994-1012, September.
    6. Canning, David & Günther, Isabel & Linnemayr, Sebastian & Bloom, David, 2013. "Fertility choice, mortality expectations, and interdependent preferences—An empirical analysis," European Economic Review, Elsevier, vol. 63(C), pages 273-289.
    7. Missinne, Sarah & Bracke, Piet, 2015. "A cross-national comparative study on the influence of individual life course factors on mammography screening," Health Policy, Elsevier, vol. 119(6), pages 709-719.
    8. Angrist, Joshua D & Krueger, Alan B, 1995. "Split-Sample Instrumental Variables Estimates of the Return to Schooling," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 225-235, April.
    9. Jason M. Fletcher, 2010. "Social interactions and smoking: evidence using multiple student cohorts, instrumental variables, and school fixed effects," Health Economics, John Wiley & Sons, Ltd., vol. 19(4), pages 466-484, April.
    10. Michael Kremer & Dan Levy, 2008. "Peer Effects and Alcohol Use among College Students," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 189-206, Summer.
    11. Bussière, Clémence & Le Vaillant, Marc & Pelletier-Fleury, Nathalie, 2015. "Screening for cervical cancer: What are the determinants among adults with disabilities living in institutions? Findings from a National Survey in France," Health Policy, Elsevier, vol. 119(6), pages 794-801.
    12. Goldzahl, Léontine, 2017. "Contributions of risk preference, time orientation and perceptions to breast cancer screening regularity," Social Science & Medicine, Elsevier, vol. 185(C), pages 147-157.
    13. Grossman, Michael, 2000. "The human capital model," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 7, pages 347-408, Elsevier.
    14. Zanella, Giulio & Banerjee, Ritesh, 2016. "Experiencing breast cancer at the workplace," Journal of Public Economics, Elsevier, vol. 134(C), pages 53-66.
    15. Michael Kremer & Edward Miguel, 2003. "Networks, social learning, and technology adoption: The case of deworming drugs in kenya," Natural Field Experiments 00312, The Field Experiments Website.
    16. Hongyi Li & G. S. Maddala, 1999. "Bootstrap Variance Estimation Of Nonlinear Functions Of Parameters: An Application To Long-Run Elasticities Of Energy Demand," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 728-733, November.
    17. Marion Devaux, 2015. "Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 21-33, January.
    18. Wu, Stephen, 2003. "Sickness and preventive medical behavior," Journal of Health Economics, Elsevier, vol. 22(4), pages 675-689, July.
    19. Florence Jusot & Zeynep Or & Nicolas Sirven, 2012. "Variations in preventive care utilisation in Europe," Post-Print hal-01593796, HAL.
    20. Joshua D. Angrist & Alan B. Krueger, 1993. "Split Sample Instrumental Variables," Working Papers 699, Princeton University, Department of Economics, Industrial Relations Section..
    21. Powell, Lisa M. & Tauras, John A. & Ross, Hana, 2005. "The importance of peer effects, cigarette prices and tobacco control policies for youth smoking behavior," Journal of Health Economics, Elsevier, vol. 24(5), pages 950-968, September.
    22. Missinne, Sarah & Colman, Elien & Bracke, Piet, 2013. "Spousal influence on mammography screening: A life course perspective," Social Science & Medicine, Elsevier, vol. 98(C), pages 63-70.
    23. Graham, Bryan S. & Hahn, Jinyong, 2005. "Identification and estimation of the linear-in-means model of social interactions," Economics Letters, Elsevier, vol. 88(1), pages 1-6, July.
    24. A. J. Culyer & J. P. Newhouse (ed.), 2000. "Handbook of Health Economics," Handbook of Health Economics, Elsevier, edition 1, volume 1, number 1.
    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. Bénédicte Apouey & Gabriel Picone, 2014. "Social Interactions And Malaria Preventive Behaviors In Sub‐Saharan Africa," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 994-1012, September.
    2. Goldzahl, Léontine, 2017. "Contributions of risk preference, time orientation and perceptions to breast cancer screening regularity," Social Science & Medicine, Elsevier, vol. 185(C), pages 147-157.
    3. Paul Frijters & Asad Islam & Chitwan Lalji & Debayan Pakrashi, 2019. "Roommate effects in health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 28(8), pages 998-1034, August.
    4. Eisenberg, Daniel & Golberstein, Ezra & Whitlock, Janis L., 2014. "Peer effects on risky behaviors: New evidence from college roommate assignments," Journal of Health Economics, Elsevier, vol. 33(C), pages 126-138.
    5. ÖZGÜR, Onur & BISIN, Alberto, 2011. "Dynamic Linear Economies with Social Interactions," Cahiers de recherche 04-2011, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    6. Dugord, Clara & Franc, Carine, 2022. "Trajectories and individual determinants of regular cancer screening use over a long period based on data from the French E3N cohort," Social Science & Medicine, Elsevier, vol. 294(C).
    7. Ana Balsa & Carlos Díaz, 2018. "Social interactions in health behaviors and conditions," Documentos de Trabajo/Working Papers 1802, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    8. Eibich, Peter & Goldzahl, Léontine, 2021. "Does retirement affect secondary preventive care use? Evidence from breast cancer screening," Economics & Human Biology, Elsevier, vol. 43(C).
    9. Effrosyni Adamopoulou & Ezgi Kaya, 2018. "Young Adults Living with their Parents and the Influence of Peers," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(3), pages 689-713, June.
    10. Missinne, Sarah & Bracke, Piet, 2015. "A cross-national comparative study on the influence of individual life course factors on mammography screening," Health Policy, Elsevier, vol. 119(6), pages 709-719.
    11. Marco Caliendo & Juliane Hennecke, 2022. "Drinking is different! Examining the role of locus of control for alcohol consumption," Empirical Economics, Springer, vol. 63(5), pages 2785-2815, November.
    12. Ryota Nakamura & Marc Suhrcke & Daniel John Zizzo, 2017. "A triple test for behavioral economics models and public health policy," Theory and Decision, Springer, vol. 83(4), pages 513-533, December.
    13. Benjamin Elsner & Ingo E. Isphording, 2018. "Rank, Sex, Drugs, and Crime," Journal of Human Resources, University of Wisconsin Press, vol. 53(2), pages 356-381.
    14. Ana Balsa & Néstor Gandelman & Flavia Roldán, 2017. "Peer and parental influence in the development of cognitive skills and predispostion to risky behaviour," Documentos de Trabajo/Working Papers 1701, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    15. Thomas C. Buchmueller & Léontine Goldzahl, 2018. "The effect of organized breast cancer screening on mammography use: Evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1963-1980, December.
    16. Ali Palali & Jan C. Van ours, 2017. "Love Conquers all but Nicotine: Spousal Peer Effects on the Decision to Quit Smoking," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1710-1727, December.
    17. Chih‐Sheng Hsieh & Hans van Kippersluis, 2018. "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, vol. 9(2), pages 825-863, July.
    18. Jesse A. Matheson, 2015. "Prices and social behaviour: Evidence from adult smoking in Canadian Aboriginal communities," Canadian Journal of Economics, Canadian Economics Association, vol. 48(5), pages 1661-1693, December.
    19. Grimard, Franque & Parent, Daniel, 2007. "Education and smoking: Were Vietnam war draft avoiders also more likely to avoid smoking?," Journal of Health Economics, Elsevier, vol. 26(5), pages 896-926, September.
    20. Ana Balsa, 2016. "Peer effects vs. parental influence in the development of capabilities in adolescence," Documentos de Trabajo/Working Papers 1609, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..

    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:kap:atlecj:v:46:y:2018:i:4:d:10.1007_s11293-018-9602-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.