On the Job Health Risks: Workers' Beliefs and Individual Work Experiences
An insight into the risks to life or health which workers are exposed to whilst at work is usually provided by risk perceptions by the workers (e.g. Viscusi, 1978; Viscusi-Moore, 1991; Grund, 2000). However, the usefulness of workers’ beliefs is limited when trying to understand the real risks posed by different jobs because this indicator relies upon the individual’s ability to make appropriate assessments (Viscusi, 1978; Elliot-Sandy, 1998). The aim of this paper is to analyse the problem of hazards and risks in the workplace in Italy by comparing workers’ beliefs and objective information at the individual level. The first indicator is drawn from the Bank of Italy 1995 Survey, whereas the second is provided by the Survey of Health, Aging and Wealth. The evidence we provide supports the view that the two indicators are broadly consistent. Further, we use the SHAW to highlight that a positive association between cigarette smoking and injuries at work exists even if we control for job and individual characteristics.
Volume (Year): 62 (2003)
Issue (Month): 1 (April)
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- Elliott, R. F. & Sandy, R., "undated".
"Adam Smith May Have Been Right After All: A New Approach to the Analysis of Compensating Differentials,"
98-02, Department of Economics, University of Aberdeen.
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- Viscusi, W Kip, 1990. "Sources of Inconsistency in Societal Responses to Health Risks," American Economic Review, American Economic Association, vol. 80(2), pages 257-261, May.
- Hwang, Hae-shin & Reed, W Robert & Hubbard, Carlton, 1992. "Compensating Wage Differentials and Unobserved Productivity," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 835-858, August.
- Grund, Christian, 2000. "Wages as Risk Compensation in Germany," IZA Discussion Papers 221, Institute for the Study of Labor (IZA).
- Guiso, Luigi & Jappelli, Tullio & Pistaferri, Luigi, 2002. "An Empirical Analysis of Earnings and Employment Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 241-253, April.
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