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Trends in gender differences in accidents mortality

Author

Listed:
  • Ingrid Waldron

    (University of Pennsylvania)

  • Christopher McCloskey

    (University of Pennsylvania)

  • Inga Earle

    (University of Pennsylvania)

Abstract

This study tests five hypotheses concerning trends in gender differences in accidents mortality and accident-related behavior, using data for the US, UK, France, Italy, and Japan, 1950-98. As predicted by the Convergence Hypothesis, gender differences have decreased for amount of driving, motor vehicle accidents mortality, and occupational accidents mortality. However, for many types of accidents mortality, gender differences were stable or increased; these trends often resulted from the differential impact on male and female mortality of general societal trends such as increased illicit drug use or improved health care. Similarly, trends in gender differences in accident-related behavior have shown substantial variation and appear to have been influenced by multiple factors, including gender differences in rates of adoption of different types of innovations.

Suggested Citation

  • Ingrid Waldron & Christopher McCloskey & Inga Earle, 2005. "Trends in gender differences in accidents mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(17), pages 415-454.
    • Handle: RePEc:dem:demres:v:13:y:2005:i:17
    DOI: 10.4054/DemRes.2005.13.17
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    References listed on IDEAS

    as
    1. Waldron, Ingrid, 1991. "Patterns and causes of gender differences in smoking," Social Science & Medicine, Elsevier, vol. 32(9), pages 989-1005, January.
    2. Macintyre, Sally & Hunt, Kate & Sweeting, Helen, 1996. "Gender differences in health: Are things really as simple as they seem?," Social Science & Medicine, Elsevier, vol. 42(4), pages 617-624, February.
    3. Arber, Sara & Khlat, Myriam, 2002. "Introduction to 'social and economic patterning of women's health in a changing world'," Social Science & Medicine, Elsevier, vol. 54(5), pages 643-647, March.
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    Citations

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    Cited by:

    1. Joseph T. Lariscy & Claudia Nau & Glenn Firebaugh & Robert A. Hummer, 2016. "Hispanic-White Differences in Lifespan Variability in the United States," Demography, Springer;Population Association of America (PAA), vol. 53(1), pages 215-239, February.
    2. Richard Rogers & Bethany Everett & Jarron Onge & Patrick Krueger, 2010. "Social, behavioral, and biological factors, and sex differences in mortality," Demography, Springer;Population Association of America (PAA), vol. 47(3), pages 555-578, August.
    3. Enrique Acosta & Alain Gagnon & Nadine Ouellette & Robert R. Bourbeau & Marilia R. Nepomuceno & Alyson A. van Raalte, 2020. "The boomer penalty: excess mortality among baby boomers in Canada and the United States," MPIDR Working Papers WP-2020-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    4. Francisco Alonso & Sergio A. Useche & Eliseo Valle & Cristina Esteban & Javier Gene-Morales, 2021. "Could Road Safety Education (RSE) Help Parents Protect Children? Examining Their Driving Crashes with Children on Board," IJERPH, MDPI, vol. 18(7), pages 1-13, March.
    5. Irma T. Elo & Greg L. Drevenstedt, 2005. "Cause-specific contributions to sex differences in adult mortality among whites and African Americans between 1960 and 1995," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(19), pages 485-520.
    6. Jessica Y. Ho, 2020. "Cycles of Gender Convergence and Divergence in Drug Overdose Mortality," Population and Development Review, The Population Council, Inc., vol. 46(3), pages 443-470, September.
    7. L. Daniel Staetsky & Andrew Hinde, 2009. "Unusually small sex differentials in mortality of Israeli Jews: What does the structure of causes of death tell us?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(11), pages 209-252.
    8. Jayanta Kumar Bora & Nandita Saikia, 2015. "Gender Differentials in Self-Rated Health and Self-Reported Disability among Adults in India," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-14, November.

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    More about this item

    Keywords

    mortality; gender; Europe; Japan; United States of America; convergence; sex differences; accidents; diffusion of innovations; gender differences; unintentional injuries;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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