Skip to main content
Log in

A methodological proposal to evaluate the cost of duration moral hazard in workplace accident insurance

  • Original Paper
  • Published:
The European Journal of Health Economics Aims and scope Submit manuscript

Abstract

The cost of duration moral hazard in workplace accident insurance has been amply explored by North-American scholars. Given the current context of financial constraints in public accounts, and particularly in the Social Security system, we feel that the issue merits inquiry in the case of Spain. The present research posits a methodological proposal using the econometric technique of stochastic frontiers, which allows us to break down the duration of work-related leave into what we term “economic days” and “medical days”. Our calculations indicate that during the 9-year period spanning 2005–2013, the cost of sick leave amongst full-time salaried workers amounted to 6920 million Euros (in constant 2011 Euros). Of this total, and bearing in mind that “economic days” are those attributable to duration moral hazard, over 3000 million Euros might be linked to workplace absenteeism. It is on this figure where economic policy measures might prove more effective.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. From a more limited standpoint, yet nonetheless one which also reflects the enormity of the costs associated with occupational accidents, and in what is now considered a classical quote in the literature in this field, Krueger [30] estimates that in a typical year in the USA, for every day lost due to strikes, 50 days are lost to work accidents.

  2. At this point, it is necessary to make a comment on presenteeism or, to put in other words, the situation when a worker goes to work while sick or before having recovered from an injury. Should this idea be an issue in our database, the estimates would not be reliable. However, as it will be shown in a later section, on the one hand, the wide coverage of the Spanish public health insurance makes us think that presenteeism should not be an important question in this country as compared, for instance, to the United States. On the other hand, we test directly whether those workers with worse working conditions exhibit some signals of presenteeism. We do not find evidence of such behavior in our data. As most European countries have (relatively) generous public health insurance, and show less variability in the worker’s working conditions than in Spain (particularly, the weight of fixed-term contracts is much lower than in Spain), we feel that our methodology might be implemented without fearing of being affected by presenteeism in such European countries.

  3. Although as Ziebarth and Karlsson [57] point out: “Relatively few people know that six US states and Puerto Rico have forms of sickness insurance that are quite similar to those in Europe”.

  4. Spain is an example of such a European country. Despite this, our research is focused on workplace accidents because our database only records this kind of case. In this sense, our study is closely related to the American literature.

  5. In this paper, we focus on TI. Injuries leading to permanent incapacity are less likely to be associated with moral hazard problems.

  6. The interested reader can find a quite detailed discussion of the regulation of TI benefits in Spain in Galiana-Moreno and Camara-Botia [21].

  7. There have been no substantial changes in the general insurance policy either. The only remarkable change is the inclusion of the self-employed workers within the system. However, we remove them from our database so as to avoid biased comparisons.

  8. In Luxembourg only permanent employees are covered.

  9. Health insurance organization in Denmark, the UK and Sweden.

  10. Corrales et al. [15] and Moral et al. [42] apply duration models for the Spanish case.

  11. Within the methodological framework of the present paper, this lower frontier would be associated with what the literature has termed as the cost frontier.

  12. Aigner et al. [2] use a semi-normal distribution, Meeusen and Van den Broeck [38] opt for an exponential distribution, Stevenson [52] uses a normal truncated distribution, and Green [22, 23] chooses a gamma distribution.

  13. Not being able to estimate the value of the variances separately means that the corresponding tests cannot be carried out to validate inefficiency.

  14. This regression gives predictions that are biased but nonetheless consistent and not subject to error normality.

  15. It is a medical decision what determines the seriousness of an injury in the SAW. An injury can fall into four categories: (1) minor injuries, (2) serious injuries, (3) very serious injuries and (4) fatal injuries. We group together those “serious” and “very serious” injuries in the SAW under the label “serious” in this paper. Obviously, we have removed from our database all injuries ending in a death (fatal injuries).

  16. For the purposes of this paper, Central and South America, Asia (except Japan) and East Europe are considered “developing countries”.

  17. In order to compute the aggregate cost, we proceed in two steps. Firstly, we multiply the number of days of sick leave by the corresponding compensation for each individual register in our database. Then, we add all the individual costs for the whole year so as to obtain the aggregate figure.

  18. Even though there are two different classifications of occupations (CNO-94 and CNO-11), nine homogenous groups were constructed. The groups included are: CNO1 (Managers), CNO2 (Professional, technicians and scientists), CNO3 (Technicians and associate professionals), CNO4 (Clerical support workers), CNO5 (Transport, trade, service and sales workers), CNO6 (Skilled agricultural, forestry and fishery workers), CNO7 (Occupations unique to primary industry, processing, manufacturing and utilities), CNO8 (Plant and machine operators and assemblers) and CNO9 (Unskilled workers).

  19. The activity sectors are agriculture, industry, building and services.

  20. Corrales et al [15] find significant differences in sick leave duration resulting from workplace accidents in the various regions in Spain.

  21. The literature has found that, in recessions, the rate of workplace accidents goes down [8] and that sickness absences are procyclical [32, 46].

  22. The literature has often stressed the importance of the type of contract on workplace accident rates [4, 24, 26].

  23. For a review of the effects of compensation on workplace accident rates, consult the review conducted by Fortin and Lanoie [18].

  24. In this sense, Moral et al. [41] report differences in the percentage of difficult to diagnose accidents reported by national and immigrant workers. In a more recent paper, Martín-Roman and Moral [37] find a higher proportion of hard-to-diagnose injuries on Mondays.

  25. The logarithm likelihood ratio tests find a cost frontier with significance level of 1%. However, when positing a production frontier, this does not prove significant.

  26. The results for the truncated-normal distribution are available from the authors upon request.

  27. The full estimations with the coefficients not included in Table 4 are available to those interested upon request from the authors.

  28. In this sense, it is worth pointing out that article 283 of the current General Law of the Social Security (Royal Decree Law 8/2015) establishes that if the labor contract of an injured (at work) employee expires while he/she is in a TI spell, such a worker will continue receiving the compensation until the sick leave ends. At that moment, the employee becomes legally unemployed should the extinction of the labor contract falls into any of the categories within the article 267.1. If that were the case, the worker would receive the UI compensation (if entitled). More importantly, the number of days while in TI is not taken into account (i.e., is not discounted) in the calculation of the UI benefit period. With this legal framework in mind, it is easy to think that during the Great Recession some workers have taken advantage opportunistically of the workplace accident insurance, prolonging their sick leave spells with an economic motivation.

  29. Although a heart attack has an objective diagnosis, its recovery period depends on the patient’s behavior.

  30. See again Fortin et al. [19, 20] for the Canadian case or Guadalupe [24] for the Spanish one.

References

  1. Agudelo-Suárez, A.A., Benavides, F.G., Felt, E., Ronda-Pérez, E., Vives-Cases, C., García, A.M.: Sickness presenteeism in Spanish-born and immigrant workers in Spain. BMC Public Health 10(1), 1 (2010)

    Article  Google Scholar 

  2. Aigner, D., Lovell, C., Schmidt, P.: Formulation and estimation of stochastic frontier production function models. J. Econom. 6(1), 21–37 (1977)

    Article  Google Scholar 

  3. Allen, S.G.: How much does absenteeism cost? J Hum. Resour. 18(3), 379–393 (1983)

    Article  Google Scholar 

  4. Amuedo-Dorantes, C.: Work safety in the context of temporary employment: the Spanish experience. Ind. Labor Relat. Rev. 55(2), 262–272 (2002)

    Article  Google Scholar 

  5. Andersen, S.H.: The cost of sickness: on the effect of the duration of sick leave on post-sick leave earnings. Soc. Sci. Med. 70(10), 1581–1589 (2010)

    Article  PubMed  Google Scholar 

  6. Battese, G.E., Coelli, T.: A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir Econ. 20, 325–332 (1995)

    Article  Google Scholar 

  7. Boden, L.I., Galizzi, M.: Income losses of women and men injured at work. J Hum. Resour. 38(3), 722–757 (2003)

    Article  Google Scholar 

  8. Boone, J., van Ours, J.C.: Are recessions good for workplace safety? J Health Econ. 25, 1069–1093 (2006)

    Article  PubMed  Google Scholar 

  9. Butler, R.J., Worrall, J.D.: Work injury compensation and the duration of nonwork spells. Econ. J. 95, 714–724 (1985)

    Article  Google Scholar 

  10. Butler, R.J., Durbin, D.L., Helvacian, N.M.: Increasing claims for soft tissue injuries in worker’s compensation: cost shifting and moral hazard. J Risk Uncertain. 13, 73–87 (1996)

    Article  Google Scholar 

  11. Butler, R.J., Hartwig, R., Gardner, H.H.: HMOs, moral hazard and cost shifting in worker’s compensation. J Health Econ. 16(2), 191–206 (1997)

    Article  CAS  PubMed  Google Scholar 

  12. Butler, R.J., Gardner, H.H., Kleinman, N.L.: Worker’s compensation: occupational injury insurance’s influence on the workplace. In: Dionne, G. (ed.) Chap. 16 in Handbook of Insurance, pp. 449–469. Springer Science + Business Media, New York (2013)

    Chapter  Google Scholar 

  13. Campolieti, M., Hyatt, D.: Further evidence on the Monday effect in workers’ compensation. Ind. Labor Relat. Rev. 59(3), 438–450 (2006)

    Article  Google Scholar 

  14. CC.OO.: “Aproximación a los costes de la siniestralidad laboral en España”. Informe de la Secretaria Confederal de Medio Ambiente y Salud Laboral (2004)

  15. Corrales, H., Martín-Román, A. and Moral de Blas, A.: La duración de las bajas por accidente laboral en España: ¿Se justifican las diferencias entre comunidades autónomas? Revista de Economía Laboral. 5(1), 73–98 (2008)

  16. Curington, W.P.: Safety regulation and workplace injuries. South. Econ. J. 53, 51–72 (1986)

    Article  Google Scholar 

  17. Eurogip, : Accidents at work and occupational diseases: flat rate or full reparation?, Eurogip-21/E. Eurogip, Paris (2005)

    Google Scholar 

  18. Fortin, B., Lanoie, P.: Incentive effects of workers’ compensation Insurance: a survey. In: Dionne, G. (ed.) Handbook of insurance, pp. 421–458. Kluwer Academic, Boston (2000)

    Chapter  Google Scholar 

  19. Fortin, B., Lanoie, P., Laporte, C.: Unemployment insurance and the duration of workplace accidents. Can. J. Econ. Revue canadienne d’Economique 29, S17–S24 (1996)

    Article  Google Scholar 

  20. Fortin, B., Lanoie, P., Laporte, C.: Is worker’s compensation a substitute for unemployment insurance? J. Risk Uncertain. 18(2), 165–188 (1999)

    Article  Google Scholar 

  21. Galiana Moreno, J.M., Camara Botia, A.: El subsidio por incapacidad temporal. Foro De Seguridad Soc 12–13, 22–30 (2005)

    Google Scholar 

  22. Greene, W.: Maximum likelihood estimation of econometric frontier functions. J. Econom. 13, 27–56 (1980)

    Article  Google Scholar 

  23. Greene, W.: On the estimation of a flexible frontier production model. J. Econom. 13, 101–115 (1980)

    Article  Google Scholar 

  24. Guadalupe, M.: The hidden cost of fixed term contracts: the impact on work accidents. Labour Econ. 10, 339–357 (2003)

    Article  Google Scholar 

  25. Guo, X.S., Burton, J.F.: Worker’s compensation: recent developments in moral hazard and benefit payments. Ind. Labor Relat. Rev. 63(2), 340–355 (2010)

    Article  Google Scholar 

  26. Hernanz, V., Toharia, L.: Do temporary contracts increase work accidents? A microeconometric comparison between Italy and Spain. Labour. 20(3), 475–504 (2006)

    Article  Google Scholar 

  27. Hollingsworth, B.: Non-parametric and parametric applications measuring efficiency in health care. Health Care Manag. Sci. 6, 203–218 (2003)

    Article  PubMed  Google Scholar 

  28. Johnson, W.G., Ondrich, J.: The duration of post-injury absences from work. Review. Econ. Stat. 72, 578–586 (1990)

    Article  Google Scholar 

  29. Jondrow, J., Lovell, C.A.K., Materov, I.S., Schmidt, P.: On the estimation of technical inefficiency in the stochastic frontier production function model. J. Econom. 19, 233–238 (1982)

    Article  Google Scholar 

  30. Krueger AB (1990) Worker’s compensation insurance and the duration of workplace injuries. NBER Working Paper Series 3253, National Bureau of Economic Research, Cambridge, MA. doi:10.3386/w3253

  31. Lanoie, P.: “The impact of occupational safety and health regulation on the risk of workplace accidents. Quebec J. Hum. Resour. 1983–87(27), 643–660 (1992)

    Article  Google Scholar 

  32. Leigh, J.P.: The effects of unemployment and the business cycle on absenteeism. J Econ. Bus. 37(2), 159–170 (1985)

    Article  Google Scholar 

  33. Lopez-Tarruella F.: la protección social plasmada en las cláusulas de los vigentes convenios colectivos (estatutarios y extraestaturarios) de empresa y supraempresariales (provinciales, autonómicos o estatales). http://www.seg-social.es/prdi00/groups/public/documents/binario/113307.pdf. (2007). Accessed 20 December 2016

  34. Martín-Román, A., Moral, A.: Moral hazard and gender differences in the workplace accidents insurance. Empir. Econ. Lett. 7(7), 707–713 (2008)

    Google Scholar 

  35. Martín-Román, A., Moral, A., Corrales-Herrero, C.: Shorter or longer? Sick leave spells and the business cycle for self-employed workers in Spain. Empir. Econ. Lett. 10(12), 1089–1096 (2013)

    Google Scholar 

  36. Martín-Román, A., Moral, A.: Differences between Spanish and foreign workers in the duration of workplace accident leave: a stochastic frontier analysis. Chpa. 13 In: Malo, M.A., Sciulli, D. (eds.) Disadvantaged workers, AIEL Series in labour economics. Springer, Basel (2014).

    Google Scholar 

  37. Martín-Román, A., Moral, A.: Moral hazard in monday claim filing: evidence from Spanish sick leave insurance”. BE J. Econ. Anal. Poli. 16(1), 437–476 (2016)

    Google Scholar 

  38. Meeusen, W., Van den Broeck, J.: Efficiency estimation from Cobb-Douglas production function with composed errors. Int. Econ. Rev. 18(2), 435–444 (1977)

    Article  Google Scholar 

  39. Meyer, B.: On unemployment insurance and unemployment spells. Econometrica. 58, 757–782 (1990)

    Article  Google Scholar 

  40. Meyer, B.D., Viscusi, W.K., Durbin, D.L.: Workers’ compensation and injury duration: evidence from a natural experiment. Am. Econ. Rev. 85(3), 322–340 (1995)

    CAS  PubMed  Google Scholar 

  41. Moral, A., Martín-Román, A., Rodríguez, J.C.: La antigüedad y las diferencias de esfuerzo entre trabajadores de distintas zonas geográficas: un estudio de los accidentes de trabajo. Estudios de Economía Aplicada. 28(1), 1–20 (2010)

    Google Scholar 

  42. Moral, A., Corrales, H., Martín-Román, A.: Glass ceiling or slippery floors? Understanding gender differences in Spanish worker’s compensation. Estudios de Economía Aplicada. 30(1), 311–340 (2012)

    Google Scholar 

  43. Newhouse, J.P.: Frontier estimation: how useful a tool for health economics? J. Health Econ. 13(3), 317–322 (1994)

    Article  CAS  PubMed  Google Scholar 

  44. Park, Y.S., Butler, R.J.: The safety costs of contingent work: evidence from Minnesota. J. Labor Res. 22(4), 831–849 (2001)

    Article  Google Scholar 

  45. Pauly, M.V., Nicholson, S., Xu, J., Polsky, D., Danzon, P.M., Murray, J.F., Berger, M.L.: A general model of the impact of absenteeism on employers and employees. Health Econ. 11, 221–231 (2002)

    Article  PubMed  Google Scholar 

  46. Pichler, S.: Sickness absence, moral hazard and the business cycle. Health Econ. 24(6), 692–710 (2015)

    Article  PubMed  Google Scholar 

  47. Pichler, S., and Ziebarth, N. R.: The pros and cons of sick pay schemes: Testing for contagious presenteeism and shirking behavior. Upjohn Institute Working Paper, pp. 15–239. W.E. Upjohn Institute for Employment Research, Kalamazoo, MI (2015)

  48. Puhani, P.A., Sonderhof, K.: The effects of a sick pay reform on absence and on health-related outcomes. J. Health Econ. 29(2), 285–302 (2010)

    Article  PubMed  Google Scholar 

  49. Rayce, S.L., Christensen, U., Hougaard, C.Ø., Diderichsen, F.: Economic consequences of incident disease: the effect on loss of annual income. Scand. J. Public Health. 36, 258–264 (2008)

    Article  PubMed  Google Scholar 

  50. Ruser J.W. and Pergamit M.R.: Workers’ compensation reforms and benefit claiming. In: Third international conference on health economics, policy and management, Athens, Greece (2004)

  51. Smith, R.S.: Mostly on Monday: is workers’ compensation covering off-the-job injuries? In: Borba, P.S., Appel, D. (eds.) Benefits. Costs, and cycles in worker’s compensation, pp. 115–127. Kluwer, Boston (1990)

    Google Scholar 

  52. Stevenson, R.: Likelihood functions for generalized stochastic frontier functions. J. Econom. 13, 57–66 (1980)

    Article  Google Scholar 

  53. Susser, P., Ziebarth, N.R.: Profiling the US sick leave landscape: presenteeism amongst females. Health Serv. Res. (2016). doi:10.1111/1475-6773.12471

    PubMed  Google Scholar 

  54. Whelan, S.: The interaction between income support programs. Labour 24(4), 407–440 (2010)

    Article  Google Scholar 

  55. Wooldridge, J. : Introductory econometrics: a modern approach, 5th edn. Cengage, Boston, MA (2012)

  56. Ziebarth, N.R., Karlsson, M.: A natural experiment on sick pay cuts, sickness absence, and labor costs. J. Public Econ. 94(11), 1108–1122 (2010)

    Article  Google Scholar 

  57. Ziebarth, N.R., Karlsson, M.: The effects of expanding the generosity of the statutory sickness insurance system. J. Appl. Econom. 29, 208–230 (2014)

    Article  Google Scholar 

Download references

Acknowledgements

The first author was partially supported by the Spanish Ministry of Education (MEC) under project ECO2014-52343-P, co-financed by FEDER funds. The second author has been partially supported by MEC under project CSO2015-69439-R. We would like to thank all the participants of the Health Economics session in the XL Symposium of Spanish Economic Association held in Girona (Spain), especially Catia Nicodemo and Toni Mora, for their insightful comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ángel Martín-Román.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Martín-Román, Á., Moral, A. A methodological proposal to evaluate the cost of duration moral hazard in workplace accident insurance. Eur J Health Econ 18, 1181–1198 (2017). https://doi.org/10.1007/s10198-017-0878-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10198-017-0878-6

Keywords

JEL Classification

Navigation