IDEAS home Printed from https://ideas.repec.org/a/bla/socsci/v90y2009i1p39-49.html
   My bibliography  Save this article

First Names and Crime: Does Unpopularity Spell Trouble?

Author

Listed:
  • David E. Kalist
  • Daniel Y. Lee

Abstract

Objective. We investigate the relationship between first name popularity and juvenile delinquency to test the hypothesis that unpopular names are positively correlated with crime. Methods. To compare the names of juveniles in a state's population with the names of juveniles who received substantiated charges in that state's juvenile justice system, we construct a popularity name index. Regression analysis is used to examine the relationship among names, crime, and socioeconomic background of juveniles. Results. The distribution of first names in the state's population is different from the names of juvenile delinquents. Our results show that unpopular names are positively correlated with juvenile delinquency for both blacks and whites. Conclusions. Unpopular names are likely not the cause of crime but correlated with factors that increase the tendency toward juvenile delinquency, such as a disadvantaged home environment and residence in a county with low socioeconomic status.

Suggested Citation

  • David E. Kalist & Daniel Y. Lee, 2009. "First Names and Crime: Does Unpopularity Spell Trouble?," Social Science Quarterly, Southwestern Social Science Association, vol. 90(1), pages 39-49, March.
  • Handle: RePEc:bla:socsci:v:90:y:2009:i:1:p:39-49
    DOI: 10.1111/j.1540-6237.2009.00601.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1540-6237.2009.00601.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1540-6237.2009.00601.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
    ---><---

    References listed on IDEAS

    as
    1. Roland G. Fryer & Steven D. Levitt, 2004. "The Causes and Consequences of Distinctively Black Names," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 767-805.
    2. David N. Figlio, 2005. "Names, Expectations and the Black-White Test Score Gap," NBER Working Papers 11195, National Bureau of Economic Research, Inc.
    3. Kenney, Genevieve M & Wissoker, Douglas A, 1994. "An Analysis of the Correlates of Discrimination Facing Young Hispanic Job-Seekers," American Economic Review, American Economic Association, vol. 84(3), pages 674-683, June.
    4. Kwabena Gyimah-Brempong & Gregory N. Price, 2006. "Crime and Punishment: And Skin Hue Too?," American Economic Review, American Economic Association, vol. 96(2), pages 246-250, May.
    5. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    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. Yungu Kang & David H. Zhu & Yan Anthea Zhang, 2021. "Being extraordinary: How CEOS' uncommon names explain strategic distinctiveness," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 462-488, February.
    2. Huang, Yana & Wang, Tianyu, 2022. "MULAN in the name: Causes and consequences of gendered Chinese names," China Economic Review, Elsevier, vol. 75(C).

    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. Keith Head & Thierry Mayer, 2008. "Detection Of Local Interactions From The Spatial Pattern Of Names In France," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 67-95, February.
    2. Cook, Lisa D. & Logan, Trevon D. & Parman, John M., 2016. "The mortality consequences of distinctively black names," Explorations in Economic History, Elsevier, vol. 59(C), pages 114-125.
    3. Disdier, Anne-Célia & Head, Keith & Mayer, Thierry, 2010. "Exposure to foreign media and changes in cultural traits: Evidence from naming patterns in France," Journal of International Economics, Elsevier, vol. 80(2), pages 226-238, March.
    4. Cook, Lisa D. & Logan, Trevon D. & Parman, John M., 2014. "Distinctively black names in the American past," Explorations in Economic History, Elsevier, vol. 53(C), pages 64-82.
    5. Antecol, Heather & Cobb-Clark, Deborah A., 2008. "Identity and racial harassment," Journal of Economic Behavior & Organization, Elsevier, vol. 66(3-4), pages 529-557, June.
    6. Liu, Liqun & Rettenmaier, Andrew J. & Saving, Thomas R., 2015. "Voluntary disclosure of a discriminated against characteristic," Journal of Economic Behavior & Organization, Elsevier, vol. 120(C), pages 94-103.
    7. Chowdhury, Shyamal & Ooi, Evarn & Slonim, Robert, 2017. "Racial discrimination and white first name adoption: a field experiment in the Australian labour market," Working Papers 2017-15, University of Sydney, School of Economics.
    8. Mujcic, Redzo & Frijters, Paul, 2013. "Still Not Allowed on the Bus: It Matters If You're Black or White!," IZA Discussion Papers 7300, Institute of Labor Economics (IZA).
    9. Jan Hanousek & Štěpán Jurajda, 2018. "Názvy společností a jejich vliv na výkonnost firem [Corporate Names and Performance]," Politická ekonomie, Prague University of Economics and Business, vol. 2018(6), pages 671-688.
    10. Button, Patrick & Walker, Brigham, 2020. "Employment discrimination against Indigenous Peoples in the United States: Evidence from a field experiment," Labour Economics, Elsevier, vol. 65(C).
    11. Lisa Cook, 2014. "Violence and economic activity: evidence from African American patents, 1870–1940," Journal of Economic Growth, Springer, vol. 19(2), pages 221-257, June.
    12. Olivetti, Claudia & Paserman, M. Daniele & Salisbury, Laura, 2018. "Three-generation mobility in the United States, 1850–1940: The role of maternal and paternal grandparents," Explorations in Economic History, Elsevier, vol. 70(C), pages 73-90.
    13. Maresa Sprietsma, 2013. "Discrimination in grading: experimental evidence from primary school teachers," Empirical Economics, Springer, vol. 45(1), pages 523-538, August.
    14. Yann Algan & Clément Malgouyres & Thierry Mayer & Mathias Thoenig, 2022. "The Economic Incentives of Cultural Transmission: Spatial Evidence from Naming Patterns Across France [‘Cultural assimilation during the age of mass migration’]," The Economic Journal, Royal Economic Society, vol. 132(642), pages 437-470.
    15. Nicodemo, Catia & Raya, Josep M., 2018. "Does Juan Carlos or Nelson Obtain a Larger Price Cut in the Spanish Housing Market?," IZA Discussion Papers 11811, Institute of Labor Economics (IZA).
    16. Bindler, Anna Louisa & Hjalmarsson, Randi & Machin, Stephen Jonathan & Rubio, Melissa, 2023. "Murphy's Law or luck of the Irish? Disparate treatment of the Irish in 19th century courts," LSE Research Online Documents on Economics 121339, London School of Economics and Political Science, LSE Library.
    17. Francis Dania V. & de Oliveira Angela C. M. & Dimmitt Carey, 2019. "Do School Counselors Exhibit Bias in Recommending Students for Advanced Coursework?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(4), pages 1-17, October.
    18. Devah Pager, 2007. "The Use of Field Experiments for Studies of Employment Discrimination: Contributions, Critiques, and Directions for the Future," The ANNALS of the American Academy of Political and Social Science, , vol. 609(1), pages 104-133, January.
    19. Lopez Barrera, E., 2018. "Hispanics immigrants in the fields: is discrimination a barrier to get non-agricultural jobs?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276016, International Association of Agricultural Economists.
    20. Judith K. Hellerstein & David Neumark, 2008. "Workplace Segregation in the United States: Race, Ethnicity, and Skill," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 459-477, August.

    More about this item

    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:bla:socsci:v:90:y:2009:i:1:p:39-49. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0038-4941 .

    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.