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The Impact of Worker’s Age on the Consequences of Occupational Accidents: Empirical Evidence Using Spanish Data

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  • Roberto Bande
  • Elva López-Mourelo

Abstract

This paper examines the impact of worker’s age on the consequences of occupational injuries. Using data from the Spanish Statistics on Accidents at Work for 2004–2010, a probit model is estimated in order to analyse the impact of the age on the probability of suffering a severe or fatal accident. Further, a duration model is used to assess the effect of worker’s age on the length of sick leave caused by occupational injuries. The analysis shows that the probability of suffering a severe or fatal accident, as well as the duration of the sick leave, increases with the worker’s age once personal, job, and accident characteristics are controlled for. From a policy perspective, the results point out that decisions about delaying the retirement age require additional measures, such as the occupational reallocation of these older workers towards tasks with lower incidence rates, in order to minimise these effects. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Roberto Bande & Elva López-Mourelo, 2015. "The Impact of Worker’s Age on the Consequences of Occupational Accidents: Empirical Evidence Using Spanish Data," Journal of Labor Research, Springer, vol. 36(2), pages 129-174, June.
  • Handle: RePEc:spr:jlabre:v:36:y:2015:i:2:p:129-174
    DOI: 10.1007/s12122-015-9199-7
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    1. Carlos García-Serrano & Virginia Hernanz & Luis Toharia, 2010. "Mind the Gap, Please! The Effect of Temporary Help Agencies on the Consequences of Work Accidents," Journal of Labor Research, Springer, vol. 31(2), pages 162-182, June.
    2. Guadalupe, Maria, 2003. "The hidden costs of fixed term contracts: the impact on work accidents," Labour Economics, Elsevier, vol. 10(3), pages 339-357, June.
    3. Catalina Amuedo-Dorantes, 2002. "Work Safety in the Context of Temporary Employment: The Spanish Experience," ILR Review, Cornell University, ILR School, vol. 55(2), pages 262-285, January.
    4. Steven D. Levitt & Jack Porter, 2001. "Sample Selection In The Estimation Of Air Bag And Seat Belt Effectiveness," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 603-615, November.
    5. Johansson, Per & Palme, Marten, 1996. "Do economic incentives affect work absence? Empirical evidence using Swedish micro data," Journal of Public Economics, Elsevier, vol. 59(2), pages 195-218, February.
    6. Viscusi, W Kip, 1993. "The Value of Risks to Life and Health," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1912-1946, December.
    7. Virginia Hernanz & Luis Toharia, 2006. "Do Temporary Contracts Increase Work Accidents? A Microeconometric Comparison between Italy and Spain," LABOUR, CEIS, vol. 20(3), pages 475-504, September.
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    Cited by:

    1. Pascale Lengagne, 2016. "Experience Rating and Work-Related Health and Safety," Journal of Labor Research, Springer, vol. 37(1), pages 69-97, March.
    2. Dike, Onyemaechi, 2019. "Informal employment and work health risks: Evidence from Cambodia," MPRA Paper 92943, University Library of Munich, Germany, revised 24 Mar 2019.
    3. María del Carmen Rey-Merchán & Jesús M. Gómez-de-Gabriel & Antonio López-Arquillos & Sang D. Choi, 2021. "Analysis of Falls from Height Variables in Occupational Accidents," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    4. Hasebe, Takuya & Sakai, Tadashi, 2018. "Are elderly workers more likely to die in occupational accidents? Evidence from both industry-aggregated data and administrative individual-level data in Japan," Japan and the World Economy, Elsevier, vol. 48(C), pages 79-89.
    5. Pascale Lengagne, 2016. "Experience Rating and Work-Related Health and Safety," Journal of Labor Research, Springer, vol. 37(1), pages 69-97, March.
    6. Liana Lentz & Jason R. Randall & Christine A. Guptill & Douglas P. Gross & Ambikaipakan Senthilselvan & Donald Voaklander, 2019. "The Association Between Fitness Test Scores and Musculoskeletal Injury in Police Officers," IJERPH, MDPI, vol. 16(23), pages 1-12, November.
    7. María José Suárez & Cristina Muñiz, 2018. "Unobserved heterogeneity in work absence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1137-1148, November.

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    More about this item

    Keywords

    Occupational accidents; Ageing; Sick leave;
    All these keywords.

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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