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A comparison of average wages with age-specific wages for assessing indirect productivity losses: analytic simplicity versus analytic precision

Author

Listed:
  • Mark P. Connolly

    (University of Groningen
    Global Market Access Solutions (GMAS))

  • Cole Tashjian

    (Global Market Access Solutions (GMAS))

  • Nikolaos Kotsopoulos

    (Global Market Access Solutions (GMAS))

  • Aomesh Bhatt

    (John Radcliffe Hospital)

  • Maarten J. Postma

    (University of Groningen
    University Medical Center Groningen (UMCG)
    University Medical Center Groningen (UMCG))

Abstract

Objectives Numerous approaches are used to estimate indirect productivity losses using various wage estimates applied to poor health in working aged adults. Considering the different wage estimation approaches observed in the published literature, we sought to assess variation in productivity loss estimates when using average wages compared with age-specific wages. Methods Published estimates for average and age-specific wages for combined male/female wages were obtained from the UK Office of National Statistics. A polynomial interpolation was used to convert 5-year age-banded wage data into annual age-specific wages estimates. To compare indirect cost estimates, average wages and age-specific wages were used to project productivity losses at various stages of life based on the human capital approach. Discount rates of 0, 3, and 6 % were applied to projected age-specific and average wage losses. Results Using average wages was found to overestimate lifetime wages in conditions afflicting those aged 1–27 and 57–67, while underestimating lifetime wages in those aged 27–57. The difference was most significant for children where average wage overestimated wages by 15 % and for 40-year-olds where it underestimated wages by 14 %. Conclusions Large differences in projecting productivity losses exist when using the average wage applied over a lifetime. Specifically, use of average wages overestimates productivity losses between 8 and 15 % for childhood illnesses. Furthermore, during prime working years, use of average wages will underestimate productivity losses by 14 %. We suggest that to achieve more precise estimates of productivity losses, age-specific wages should become the standard analytic approach.

Suggested Citation

  • Mark P. Connolly & Cole Tashjian & Nikolaos Kotsopoulos & Aomesh Bhatt & Maarten J. Postma, 2017. "A comparison of average wages with age-specific wages for assessing indirect productivity losses: analytic simplicity versus analytic precision," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(6), pages 697-701, July.
    • Handle: RePEc:spr:eujhec:v:18:y:2017:i:6:d:10.1007_s10198-016-0819-9
    DOI: 10.1007/s10198-016-0819-9
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    Cited by:

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    2. Marjolein van der Vlegel & Juanita A. Haagsma & Leonie de Munter & Mariska A. C. de Jongh & Suzanne Polinder, 2020. "Health Care and Productivity Costs of Non-Fatal Traffic Injuries: A Comparison of Road User Types," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    3. Paul Hanly & Rebecca Maguire & Frances Drummond & Linda Sharp, 2019. "Variation in the methodological approach to productivity cost valuation: the case of prostate cancer," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(9), pages 1399-1408, December.
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    5. Ana Rodriguez-Alvarez & César Rodriguez-Gutierrez, 2018. "The impact of health on wages: evidence for Europe," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1173-1187, November.

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    More about this item

    Keywords

    Indirect costs; Productivity; Age-specific wages; Average wages;
    All these keywords.

    JEL classification:

    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General

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