Wage compensation for risk: The case of Turkey

Polat, Sezgin

doi:10.1016/j.ssci.2014.05.018

Cited by 7 publications

(7 citation statements)

References 23 publications

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“…Most models primarily use the standard Mince earnings function [ 47 ], with risk as a main variable and the remaining variables as control variables that reflect individual characteristics. Polat [ 4 ] analyzed the risk premium of wages with a quantile approach based on the earnings distribution. Nastis, Michailidis, and Mattas [ 45 ] measured risk preferences by considering an individual’s behavior variables and estimated the conflicting relationship between wage rate and risk by representing them in the model.…”

Section: Theoretical Discussionmentioning

confidence: 99%

“…A study in New York analyzing over 1600 jobs showed that expected wages increase by 1–4% per 10% increase in the variance of occupational risk [ 3 ]. Many studies that estimate the wage differentials for occupational risks operationalize the possibility of death and injury as the concept of risk, assess the level of compensating differentials in industrial sectors where occupational risks exist, and present wage–risk tradeoffs [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

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Wage Differentials between Heat-Exposure Risk and No Heat-Exposure Risk Groups

Kim

Lim

2017

IJERPH

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The goal of this study is to investigate the wage differential between groups of workers who are exposed to heat and those who are not. Workers in the heat-exposure risk group are defined as workers who work in conditions that cause them to spend more than 25% of their work hours at high temperatures. To analyze the wage differential, the Blinder-Oaxaca and Juhn-Murphy-Pierce methods were applied to Korea Working Condition Survey data. The results show that the no heat-exposure risk group received higher wages. In most cases, this can be interpreted as the endowment effect of human capital. As a price effect that lowers the endowment effect, the compensating differential for the heat-exposure risk group was found to be 1%. Moreover, education level, work experience, and employment status counteracted the compensating differentials for heat-exposure risks. A comparison of data sets from 2011 and 2014 shows that the increasing wage gap between the two groups was not caused by systematic social discrimination factors. This study suggests that wage differential factors can be modified for thermal environmental risks that will change working conditions as the impact of climate change increases.

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Section: Theoretical Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wage Differentials between Heat-Exposure Risk and No Heat-Exposure Risk Groups

Kim

Lim

2017

IJERPH

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“… b Multiple VSL estimates are reported in some studies. In six cases (Benkhalifa et al, 2013 ; Faudzi et al, 2013 ; Hammitt & Zhou, 2006 ; Madheswaran, 2007 ; Rafiq & Shah, 2010 ; Polat, 2014 ), we use the midpoint of the reported values. Vassanadumrongdee and Matsuoka ( 2005 ) conducted two separate CV surveys, one for air pollution and one for traffic safety, and report two VSL estimates as indicated in the table.…”

Section: Table A1mentioning

confidence: 99%

Valuing Mortality Risk Reductions in Global Benefit-Cost Analysis

Robinson¹,

Hammitt

O’Keeffe³

2019

J. Benefit Cost Anal.

150

193

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The estimates used to value mortality risk reductions are a major determinant of the benefits of many public health and environmental policies. These estimates (typically expressed as the value per statistical life, VSL) describe the willingness of those affected by a policy to exchange their own income for the risk reductions they experience. While these values are relatively well studied in high-income countries, less is known about the values held by lower-income populations. We identify 26 studies conducted in the 172 countries considered low- or middle-income in any of the past 20 years; several have significant limitations. Thus there are few or no direct estimates of VSL for most such countries. Instead, analysts typically extrapolate values from wealthier countries, adjusting only for income differences. This extrapolation requires selecting a base value and an income elasticity that summarizes the rate at which VSL changes with income. Because any such approach depends on assumptions of uncertain validity, we recommend that analysts conduct a standardized sensitivity analysis to assess the extent to which their conclusions change depending on these estimates. In the longer term, more research on the value of mortality risk reductions in low- and middle-income countries is essential.

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Section: Supplementary Materialsmentioning

confidence: 99%

Valuing Mortality Risk Reductions in Global Benefit‐Cost Analysis

2022

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The estimates used to value mortality risk reductions are a major determinant of the benefits of many public health and environmental policies. These estimates (typically expressed as the value per statistical life, VSL) describe the willingness of those affected by a policy to exchange their own income for the risk reductions they experience. While these values are relatively well studied in highincome countries, less is known about the values held by lower-income populations. We identify 26 studies conducted in the 172 countries considered low-or middleincome in any of the past 20 years; several have significant limitations. Thus there are few or no direct estimates of VSL for most such countries. Instead, analysts typically extrapolate values from wealthier countries, adjusting only for income differences. This extrapolation requires selecting a base value and an income elasticity that summarizes the rate at which VSL changes with income. Because any such approach depends on assumptions of uncertain validity, we recommend that analysts conduct a standardized sensitivity analysis to assess the extent to which their conclusions change depending on these estimates. In the longer term, more research on the value of mortality risk reductions in low-and middle-income countries is essential.

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Wage compensation for risk: The case of Turkey

Cited by 7 publications

References 23 publications

Wage Differentials between Heat-Exposure Risk and No Heat-Exposure Risk Groups

Wage Differentials between Heat-Exposure Risk and No Heat-Exposure Risk Groups

Valuing Mortality Risk Reductions in Global Benefit-Cost Analysis

Valuing Mortality Risk Reductions in Global Benefit‐Cost Analysis

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