IDEAS home Printed from https://ideas.repec.org/p/wai/econwp/25-01.html
   My bibliography  Save this paper

The Impact of Homicide on State-Level Life Expectancy and Lifespan Inequality in the US, 1968-2020

Author

Abstract

While life expectancy losses due to homicide are well-documented in the US, their simultaneous effect on lifespan inequality remains underexplored. Therefore, this study examines the impact of homicide on life expectancy and lifespan inequality at the state level in the US from 1968 to 2020, employing Theil's entropy index to measure lifespan inequality. Using a Panel-Corrected Standard Errors (PCSE) econometric model, we also analyzed the demographic, socioeconomic, and policy factors influencing these outcomes. We found substantial regional disparities, with Southern states consistently exhibiting the highest life expectancy losses and lifespan inequality increases due to homicide. Demographic factors, such as a higher proportion of high school graduates, are associated with reduced impacts of homicide, while higher percentages of Black populations and percentage of population 25-34 age group correlate with larger effects, reflecting systemic inequities in exposure to violence. Furthermore, corrections and judicial spending influence both life expectancy and lifespan inequality. Police and health spending mitigate lifespan inequality, while welfare expenditures often correlate with higher inequality, likely reflecting underlying socioeconomic vulnerabilities. Our results emphasize the need for integrated, evidence-based policy approaches targeting structural inequalities and specific demographic vulnerabilities. Strategies such as youth violence prevention, education-focused interventions, and community-based justice reforms are likely to be critical for mitigating homicide's impact. This work underscores homicide's dual role as a public health and societal challenge, calling for tailored policies to address both immediate and systemic factors driving violence.

Suggested Citation

  • M.D.J.W. Wijesinghe & Michael P. Cameron & Susan Olivia & Les Oxley, 2025. "The Impact of Homicide on State-Level Life Expectancy and Lifespan Inequality in the US, 1968-2020," Working Papers in Economics 25/01, University of Waikato.
  • Handle: RePEc:wai:econwp:25/01
    as

    Download full text from publisher

    File URL: https://repec.its.waikato.ac.nz/wai/econwp/2501.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Steven D. Levitt, 2004. "Understanding Why Crime Fell in the 1990s: Four Factors that Explain the Decline and Six that Do Not," Journal of Economic Perspectives, American Economic Association, vol. 18(1), pages 163-190, Winter.
    2. Johnson, Blair T. & Sisti, Anthony & Bernstein, Mary & Chen, Kun & Hennessy, Emily A. & Acabchuk, Rebecca L. & Matos, Michaela, 2021. "Community-level factors and incidence of gun violence in the United States, 2014–2017," Social Science & Medicine, Elsevier, vol. 280(C).
    3. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    4. David Weisburd & John E. Eck, 2004. "What Can Police Do to Reduce Crime, Disorder, and Fear?," The ANNALS of the American Academy of Political and Social Science, , vol. 593(1), pages 42-65, May.
    5. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    6. Dustin Brown & Mark Hayward & Jennifer Montez & Robert Hummer & Chi-Tsun Chiu & Mira Hidajat, 2012. "The Significance of Education for Mortality Compression in the United States," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 819-840, August.
    7. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    8. Lance Lochner & Enrico Moretti, 2004. "The Effect of Education on Crime: Evidence from Prison Inmates, Arrests, and Self-Reports," American Economic Review, American Economic Association, vol. 94(1), pages 155-189, March.
    9. Richard F. Catalano & M. Lisa Berglund & Jean A. M. Ryan & Heather S. Lonczak & J. David Hawkins, 2004. "Positive Youth Development in the United States: Research Findings on Evaluations of Positive Youth Development Programs," The ANNALS of the American Academy of Political and Social Science, , vol. 591(1), pages 98-124, January.
    10. Bailey, Delia & Katz, Jonathan N., 2011. "Implementing Panel-Corrected Standard Errors in R: The pcse Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(c01).
    11. Mark W. Frank, 2009. "Inequality And Growth In The United States: Evidence From A New State‐Level Panel Of Income Inequality Measures," Economic Inquiry, Western Economic Association International, vol. 47(1), pages 55-68, January.
    12. Irma T. Elo & Arun S. Hendi & Jessica Y. Ho & Yana C. Vierboom & Samuel H. Preston, 2019. "Trends in Non‐Hispanic White Mortality in the United States by Metropolitan‐Nonmetropolitan Status and Region, 1990–2016," Population and Development Review, The Population Council, Inc., vol. 45(3), pages 549-583, September.
    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. Adamu Braimah Abille & Oytun Meçik, 2024. "Macro-determinants of current account balance performance in selected African countries," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 26(3), pages 1083-1102, December.
    2. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    3. Canh Phuc Nguyen & Nadia Doytch & Christophe Schinckus & Thanh Dinh Su, 2024. "Mobile and internet usage, institutions and the trade balance: Evidence from African countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2230-2264, April.
    4. Altindag, Duha T., 2012. "Crime and unemployment: Evidence from Europe," International Review of Law and Economics, Elsevier, vol. 32(1), pages 145-157.
    5. Anna Aizer & Joseph J. Doyle, 2015. "Juvenile Incarceration, Human Capital, and Future Crime: Evidence from Randomly Assigned Judges," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 759-803.
    6. Canh Phuc Nguyen & Su Dinh Thanh & Bach Nguyen, 2022. "Economic uncertainty and tourism consumption," Tourism Economics, , vol. 28(4), pages 920-941, June.
    7. Katherine Eriksson, 2015. "Access to Schooling and the Black-White Incarceration Gap in the Early 20th Century US South: Evidence from Rosenwald Schools," NBER Working Papers 21727, National Bureau of Economic Research, Inc.
    8. Marcus Box & Karl Gratzer & Xiang Lin, 2023. "Self-employment, corruption, and property rights: a comparative analysis of European and CEE economies," SN Business & Economics, Springer, vol. 3(1), pages 1-29, January.
    9. Sean Holly & Ivan Petrella, 2012. "Factor Demand Linkages, Technology Shocks, and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 948-963, November.
    10. Jens Ludwig & Jeffrey R. Kling, 2007. "Is Crime Contagious?," Journal of Law and Economics, University of Chicago Press, vol. 50(3), pages 491-518.
    11. Yadav, Jitesh & Chakraborty, Lekha, 2023. "Public Financial Management and Crime Against Children: A State level Analysis in India," Working Papers 23/391, National Institute of Public Finance and Policy.
    12. Ahmed, Walid M.A., 2020. "Corruption and equity market performance: International comparative evidence," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    13. Thibault Darcillon, 2016. "Do Interactions between Finance and Labour Market Institutions Affect the Income Distribution?," LABOUR, CEIS, vol. 30(3), pages 235-257, September.
    14. Behrens, Christoph, 2020. "German trade forecasts since 1970: An evaluation using the panel dimension," Working Papers 26, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    15. Jessica Wolpaw Reyes, 2014. "Lead Exposure and Behavior: Effects on Antisocial and Risky Behavior among Children and Adolescents," NBER Working Papers 20366, National Bureau of Economic Research, Inc.
    16. Merello, Paloma & Barberá, Antonio & la Poza, Elena De, 2022. "Is the sustainability profile of FinTech companies a key driver of their value?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    17. Canh Phuc Nguyen & Christophe Schinckus & Thanh Dinh Su, 2020. "The drivers of economic complexity: International evidence from financial development and patents," International Economics, CEPII research center, issue 164, pages 140-150.
    18. Sebastian Galiani & Martín A. Rossi & Ernesto Schargrodsky, 2011. "Conscription and Crime: Evidence from the Argentine Draft Lottery," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 119-136, April.
    19. Olejnik, Łukasz Wiktor, 2024. "Left-wing butter vs. right-wing guns: Government ideology and disaggregated military expenditures," ZEW Discussion Papers 24-026, ZEW - Leibniz Centre for European Economic Research.
    20. Olugbenga Ajilore & John Smith, 2011. "Ethnic fragmentation and police spending," Applied Economics Letters, Taylor & Francis Journals, vol. 18(4), pages 329-332.

    More about this item

    Keywords

    Lifespan inequality; Theil index; Homicide; Socioeconomic factors; United States;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wai:econwp:25/01. 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: Geua Boe-Gibson (email available below). General contact details of provider: https://edirc.repec.org/data/dewaknz.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.