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On the Measurement of Job Risk in Hedonic Wage Models

March 2003 (Revised from January 2003). We examine the incidence, form, and research consequences of measurement error in measure of fatal injury risk in U.S. workplaces using both BLS and NIOSH data. We find evidence of substantial measurement errors in the fatality risk researchers attach to individual workers when estimating the implicit price of risk and the value of a statistical life. We first examine possible classical attenuation bias in the fatality risk coefficient. However, because we also find non-classical measurement error that differs across multiple risk measures and is not independent of other regressors, more complex statistical procedures than a standard instrumental variables estimator need be applied to obtain statistically improved estimates of wage-fatality risk tradeoffs.

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Paper provided by Center for Policy Research, Maxwell School, Syracuse University in its series Center for Policy Research Working Papers with number 49.

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Date of creation: Mar 2003
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Handle: RePEc:max:cprwps:49
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  1. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier.
  2. Rafael Lalive, . "Did we Overestimat the Value of Health?," IEW - Working Papers 060, Institute for Empirical Research in Economics - University of Zurich.
  3. Kniesner, Thomas J & Leeth, John D, 1991. " Compensating Wage Differentials for Fatal Injury Risk in Australia, Japan, and the United States," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 75-90, January.
  4. W. Kip Viscusi & Joseph E. Aldy, 2003. "The Value of a Statistical Life: A Critical Review of Market Estimates throughout the World," NBER Working Papers 9487, National Bureau of Economic Research, Inc.
  5. Mellow, Wesley & Sider, Hal, 1983. "Accuracy of Response in Labor Market Surveys: Evidence and Implications," Journal of Labor Economics, University of Chicago Press, vol. 1(4), pages 331-44, October.
  6. Ivar Ekeland & James J. Heckman & Lars Nesheim, 2002. "Identifying Hedonic Models," American Economic Review, American Economic Association, vol. 92(2), pages 304-309, May.
  7. Hausman, Jerry A. & Newey, Whitney K. & Ichimura, Hidehiko & Powell, James L., 1991. "Identification and estimation of polynomial errors-in-variables models," Journal of Econometrics, Elsevier, vol. 50(3), pages 273-295, December.
  8. Griliches, Zvi, 1986. "Economic data issues," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 25, pages 1465-1514 Elsevier.
  9. Viscusi, W Kip, 1993. "The Value of Risks to Life and Health," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1912-46, December.
  10. Mark McClellan & Douglas Staiger, 1999. "The Quality of Health Care Providers," NBER Working Papers 7327, National Bureau of Economic Research, Inc.
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