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Do You Think Your Risk Is Fair Paid? Evidence From Italian Labor Market

Author

Listed:
  • Vincenzo Carrieri
  • Edoardo Di Porto
  • Leandro Elia

Abstract

Starting from Adam Smith's intuition, compensating wage differentials are one of the most widespread explanation to describe why agents should bear occupational risk of injury and death. For nearly thirty years, economists have attempted to and empirical evidence on such wage differentials mostly relying on estimation of a simple wage equation. This paper claims to put one step forward. Using the Survey of Household Income and Wealth (SHIW) 2004 we estimate for Italy the wage premium held by workers in risky occupations by means of the matching estimator. Such technique is desirable because it attempts to remove all the differences in wage coming from heterogeneity across individuals and not directly imputable to risk. Estimates suggest that net hourly wage premium is about 3% to manual workers and nearly null to non-manual workers. When we split the sample along the employer size, our findings show a heterogeneous treatment with respect to occupational status. Small firms tend to flatten out any risk premium to manual workers, while they recognize roughly 6% to non-manual workers; the opposite occurs when we look at medium-large firms wherein manual workers gain 1.5% to 5% more with respect their counterparts. Therefore, it seems that wage-risk trade off does not always emerge as hedonic wage theory would predict.

Suggested Citation

  • Vincenzo Carrieri & Edoardo Di Porto & Leandro Elia, 2009. "Do You Think Your Risk Is Fair Paid? Evidence From Italian Labor Market," LABORatorio R. Revelli Working Papers Series 89, LABORatorio R. Revelli, Centre for Employment Studies.
  • Handle: RePEc:cca:wplabo:89
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    File URL: http://www.laboratoriorevelli.it/_pdf/wp89.pdf
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    Citations

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    Cited by:

    1. Ahmad Mujtaba Khan & Asma Hyder, 2017. "The Statistical Value of Injury Risk in Pakistan’s Construction and Manufacturing Sectors," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(1), pages 1-18, Jan-June.
    2. Sanam Khan & Faisal Jamil, 2021. "Income differentials in the police and taxation departments’ employees in Peshawar," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1815-1828, October.

    More about this item

    Keywords

    wage differentials; risky jobs; value of a statistical life; propensity score matching.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • I19 - Health, Education, and Welfare - - Health - - - Other

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