On the Measurement of Job Risk in Hedonic Wage Models

Dan Black and Thomas Kniesner

Journal of Risk and Uncertainty, 2003, vol. 27, issue 3, 205-20

Abstract: We examine the incidence, form, and research consequences of measurement error in measures of fatal injury risk in U.S. workplaces using both Bureau of Labor Statistics and National Intitute of Occupational Safety and Health data. Of the various measures examined the NIOSH industry risk measure produces implicit value of life estimates most in line with both economic theory and the mode result for the existing literature. Because we find non-classical measurement error that differs across risk measures and is not independent of other regressors, innovative statistical procedures need be applied to obtain statistically improved estimates of wage-fatality risk tradeoffs. Copyright 2003 by Kluwer Academic Publishers

Date: 2003
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Working Paper: On the Measurement of Job Risk in Hedonic Wage Models (2003)
Working Paper: On the Measurement of Job Risk in Hedonic Wage Models (2003)
Working Paper: On the Measurement of Job Risk in Hedonic Wage Models (2003)
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