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Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables

Author

Listed:
  • Panagiota Filippou
  • Giampiero Marra

    (University College London)

  • Rosalba Radice

    (University of London)

  • David Zimmer

    (Western Kentucky University)

Abstract

The aim of this paper is to estimate the effects of seeking medical care on missing work. Specifically, our case study explores the question: Does visiting a medical provider cause an employee to miss work? To address this, we employ a model that can consistently estimate the impacts of two endogenous binary regressors. The model is based on three equations connected via a multivariate Gaussian distribution, which makes it possible to model the correlations among the equations, hence accounting for unobserved heterogeneity. Parameter estimation is reliably carried out via a trust region algorithm with analytical derivative information. We find that, observationally, having a curative visit associates with a nearly 80% increase in the probability of missing work, while having a preventive visit correlates with a smaller 13% increase in the likelihood of missing work. However, after addressing potential endogeneity, neither type of visit appears to significantly relate to missing work. That finding also applies to visits that occur during the previous year. Therefore, we conclude that the observed links between medical usage and absenteeism derive from unobserved heterogeneity, rather than direct causal channels. The modeling framework is available through the R package GJRM.

Suggested Citation

  • Panagiota Filippou & Giampiero Marra & Rosalba Radice & David Zimmer, 2023. "Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(4), pages 713-731, December.
  • Handle: RePEc:spr:alstar:v:107:y:2023:i:4:d:10.1007_s10182-022-00464-6
    DOI: 10.1007/s10182-022-00464-6
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    References listed on IDEAS

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    1. Zhang, Wei & Sun, Huiying & Woodcock, Simon & Anis, Aslam, 2015. "Illness related wage and productivity losses: Valuing ‘presenteeism’," Social Science & Medicine, Elsevier, vol. 147(C), pages 62-71.
    2. Sean Nicholson & Mark V. Pauly & Daniel Polsky & Claire Sharda & Helena Szrek & Marc L. Berger, 2006. "Measuring the effects of work loss on productivity with team production," Health Economics, John Wiley & Sons, Ltd., vol. 15(2), pages 111-123, February.
    3. Elise Gould, 2004. "Decomposing the effects of children's health on mother's labor supply: is it time or money?," Health Economics, John Wiley & Sons, Ltd., vol. 13(6), pages 525-541, June.
    4. Zhang, Wei & Bansback, Nick & Anis, Aslam H., 2011. "Measuring and valuing productivity loss due to poor health: A critical review," Social Science & Medicine, Elsevier, vol. 72(2), pages 185-192, January.
    5. Little, Roderick J A, 1985. "A Note about Models for Selectivity Bias," Econometrica, Econometric Society, vol. 53(6), pages 1469-1474, November.
    6. Wilde, Joachim, 2000. "Identification of multiple equation probit models with endogenous dummy regressors," Economics Letters, Elsevier, vol. 69(3), pages 309-312, December.
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