Health, Mental Health and Labor Productivity: The Role of Self-Reporting Bias
AbstractThis paper relates physical and mental health status to labor force participation and compares these relationships among self-report and proxy respondents. Previous research has conjectured that self-reports of health status may lead to an upward bias in the estimated effect of health on labor productivity because subjects who are out of the labor force may be more likely to understate their health status so as to justify their lack of employment. Also, we integrate mental health into our study by using two alternative approaches-logistic regression analysis and propensity scoring methods. We find that among the cohort of self-reporters, physical health has a substantially stronger impact on labor productivity than mental health; precisely the opposite patterns were obtained when physical and mental health status were reported by proxy respondents. These results suggest the self-reports may lead to a bias in estimating labor productivity costs of physical versus mental health on labor force participation by overestimating the importance of good physical health and underestimating the role of good mental health. This in turn suggests that the benefits of more generous mental health insurance benefits may have been underappreciated in the medical policy debates.
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Bibliographic InfoPaper provided by Rice University, Department of Economics in its series Working Papers with number 2004-09.
Date of creation: Jun 2004
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- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
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