IDEAS home Printed from https://ideas.repec.org/a/sae/ilrrev/v50y1997i2p304-323.html
   My bibliography  Save this article

Gender Differences in Days Lost from Work Due to Illness

Author

Listed:
  • Jessica Primoff Vistnes

Abstract

The author uses data from the 1987 National Medical Expenditure Survey to investigate the extent and determinants of gender differences in days lost from work due to illness. She finds that for both men and women, health status measures, such as self-reported health status and medical events, more consistently explained absenteeism than did economic factors such as wages and the presence of sick leave. The presence of young children increased women's, but not men's, probability of missing work, as well as women's number of absences for those who missed work in 1987. Among men who were absent from work in 1987, however, the presence of children in day care increased the number of days lost from work. In that regard, those men, most of whom were likely to be either single parents or married with a working wife, behaved more like mothers with young children than like other men.

Suggested Citation

  • Jessica Primoff Vistnes, 1997. "Gender Differences in Days Lost from Work Due to Illness," ILR Review, Cornell University, ILR School, vol. 50(2), pages 304-323, January.
    • Handle: RePEc:sae:ilrrev:v:50:y:1997:i:2:p:304-323
    DOI: 10.1177/001979399705000207
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/001979399705000207
    Download Restriction: no
    File URL: https://libkey.io/10.1177/001979399705000207?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. Stapleton, David C & Young, Douglas J, 1984. "Censored Normal Regression with Measurement Error on the Dependent Variable," Econometrica, Econometric Society, vol. 52(3), pages 737-760, May.
    2. Mary Corcoran & Greg J. Duncan, 1979. "Work History, Labor Force Attachment, and Earnings Differences between the Races and Sexes," Journal of Human Resources, University of Wisconsin Press, vol. 14(1), pages 3-20.
    3. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    4. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    5. Leigh, J. Paul, 1991. "Employee and job attributes as predictors of absenteeism in a national sample of workers: The importance of health and dangerous working conditions," Social Science & Medicine, Elsevier, vol. 33(2), pages 127-137, January.
    6. Rosenzweig, Mark R. & Wolpin, Kenneth I., 1982. "Governmental interventions and household behavior in a developing country : Anticipating the unanticipated consequences of social programs," Journal of Development Economics, Elsevier, vol. 10(2), pages 209-225, April.
    7. A. C. Cameron & P. K. Trivedi & Frank Milne & J. Piggott, 1988. "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(1), pages 85-106.
    8. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    9. Paringer, Lynn, 1983. "Women and Absenteeism: Health or Economics?," American Economic Review, American Economic Association, vol. 73(2), pages 123-127, May.
    10. Dunn, L F & Youngblood, Stuart A, 1986. "Absenteeism as a Mechanism for Approaching an Optimal Labor Market Equilibrium: An Empirical Study," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 668-674, November.
    11. Steven G. Allen, 1983. "How Much Does Absenteeism Cost?," Journal of Human Resources, University of Wisconsin Press, vol. 18(3), pages 379-393.
    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. Sisira Sarma & Wayne Simpson, 2006. "A microeconometric analysis of Canadian health care utilization," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 219-239, March.
    2. Antonio Clavero Barranquero & Mª. Luz González Alvarez, 2005. "A survey of econometric models to analyze the demand and utilisation of health care," Hacienda Pública Española / Review of Public Economics, IEF, vol. 173(2), pages 129-162, June.
    3. Sarah Brown & Fathi Fakhfakh & John G. Sessions, 1999. "Absenteeism and Employee Sharing: An Empirical Analysis Based on French Panel Data, 1981–1991," ILR Review, Cornell University, ILR School, vol. 52(2), pages 234-251, January.
    4. Tansel, Aysit & Keskin, Halil Ibrahim, 2017. "Education Effects on Days Hospitalized and Days out of Work by Gender: Evidence from Turkey," IZA Discussion Papers 11210, Institute of Labor Economics (IZA).
    5. Cédric Afsa & Pauline Givord, 2009. "Le rôle des conditions de travail dans les absences pour maladie : le cas des horaires irréguliers," Économie et Prévision, Programme National Persée, vol. 187(1), pages 83-103.
    6. Zhang, Xuelin, 2007. "Gender Differences in Quits and Absenteeism in Canada," Analytical Studies Branch Research Paper Series 2007296e, Statistics Canada, Analytical Studies Branch.
    7. Ulf‐ G. Gerdtham, 1997. "Equity in Health Care Utilization: Further Tests Based on Hurdle Models and Swedish Micro Data," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 303-319, May.
    8. Andrén, Daniela, 2001. "Short-Term Absenteeism Due To Sickness: The Swedish Experience, 1986 - 1991," Working Papers in Economics 46, University of Gothenburg, Department of Economics.
    9. Steven T. Yen & Chao‐Hsiun Tang & Shew‐Jiuan B. Su, 2001. "Demand for traditional medicine in Taiwan: a mixed Gaussian–Poisson model approach," Health Economics, John Wiley & Sons, Ltd., vol. 10(3), pages 221-232, April.
    10. Michael D. Creel & Montserrat Farell, 2001. "Likelihood-Based Approaches to Modeling Demand for Medical Care," UFAE and IAE Working Papers 498.01, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    11. Thalmaier, Anja, 1999. "Bestimmungsgründe von Fehlzeiten: Welche Rolle spielt die Arbeitslosigkeit?," IZA Discussion Papers 62, Institute of Labor Economics (IZA).
    12. Chung, Rebecca H. & Lee, Jonq-Ying & Brown, Mark G., 2004. "A Study of the Demand for Medical Services in Taiwan," Research papers 53389, Florida Department of Citrus.
    13. Sergi Jiménez-Martín & José Labeaga & Maite Martínez-Granado, 2004. "An empirical analysis of the demand for physician services across the European Union," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 5(2), pages 150-165, May.
    14. Christian Schmid, 2015. "Consumer Health Information and the Demand for Physician Visits," Health Economics, John Wiley & Sons, Ltd., vol. 24(12), pages 1619-1631, December.
    15. Óscar Lourenço & Carlota Quintal & Pedro Lopes Ferreira & Pedro Pita Barros, 2007. "A equidade na utilização de cuidados de saúde em Portugal: Uma avaliação baseada em modelos de contagem," Notas Económicas, Faculty of Economics, University of Coimbra, issue 25, pages 6-26, June.
    16. Aysit Tansel & Halil Ibrahim Keskin, 2017. "Education Effects on Days Hospitalized and Days out of Work by Gender: Evidence from Turkey," Koç University-TUSIAD Economic Research Forum Working Papers 1721, Koc University-TUSIAD Economic Research Forum.
    17. Pfeifer, Christian & Sohr, Tatjana, 2008. "Analysing the Gender Wage Gap Using Personnel Records of a Large German Company," IZA Discussion Papers 3533, Institute of Labor Economics (IZA).
    18. Zhang, Xuelin, 2007. "Differences entre les sexes relativement aux departs volontaires et a l'absenteisme au Canada," Direction des études analytiques : documents de recherche 2007296f, Statistics Canada, Direction des études analytiques.
    19. Kajal Lahiri & Guibo Xing, 2004. "An econometric analysis of veterans’ health care utilization using two-part models," Empirical Economics, Springer, vol. 29(2), pages 431-449, May.
    20. Andreas Million & Regina T. Riphahn & Achim Wambach, 2003. "Incentive effects in the demand for health care: a bivariate panel count data estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 387-405.

    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:sae:ilrrev:v:50:y:1997:i:2:p:304-323. 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: SAGE Publications (email available below). General contact details of provider: http://www.ilr.cornell.edu .

    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.