IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i9p1620-d229529.html
   My bibliography  Save this article

Effect of Income Heterogeneity on Valuation of Mortality Risk in Taiwan: An Application of Unconditional Quantile Regression Method

Author

Listed:
  • Je-Liang Liou

    (The Center for Green Economy, Chung-Hua Institution for Economic Research, No. 75 Chang-Hsing Street, Taipei 10672, Taiwan)

Abstract

According to theory and existing empirical results, heterogeneity in personal characteristics, with income variation being one of them, affects the marginal willingness to pay (WTP) for reducing fatal risk. In this study, the effect of income heterogeneity on the value of statistical life (VSL) in Taiwan through unconditional quantile regression analysis using the data collected by the “Manpower Utilization Survey” is investigated. The results of this empirical study show that the hedonic wage function that was constructed using empirical data from Taiwan was in line with the general form of non-linear function rather than the semi-log function that has been often used in previous studies, which should have great impact on the estimation of the VSL. The empirical results also show that the estimated VSL of Taiwanese labor varied with the difference in wages, which needs to be taken into account when discussing the public policies using VSL.

Suggested Citation

  • Je-Liang Liou, 2019. "Effect of Income Heterogeneity on Valuation of Mortality Risk in Taiwan: An Application of Unconditional Quantile Regression Method," IJERPH, MDPI, vol. 16(9), pages 1-15, May.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1620-:d:229529
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/9/1620/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/9/1620/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Moore, Michael J & Viscusi, W Kip, 1988. "The Quantity-Adjusted Value of Life," Economic Inquiry, Western Economic Association International, vol. 26(3), pages 369-388, July.
    2. Joseph E. Aldy & W. Kip Viscusi, 2008. "Adjusting the Value of a Statistical Life for Age and Cohort Effects," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 573-581, August.
    3. Thomas Kniesner & W. Viscusi & James Ziliak, 2010. "Policy relevant heterogeneity in the value of statistical life: New evidence from panel data quantile regressions," Journal of Risk and Uncertainty, Springer, vol. 40(1), pages 15-31, February.
    4. Thomas J. Kniesner & W. Kip Viscusi, 2005. "Value of a Statistical Life: Relative Position vs. Relative Age," American Economic Review, American Economic Association, vol. 95(2), pages 142-146, May.
    5. Markus Frölich & Blaise Melly, 2013. "Unconditional Quantile Treatment Effects Under Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 346-357, July.
    6. Joni Hersch & W. Kip Viscusi, 2010. "Immigrant Status and the Value of Statistical Life," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    7. Corso, Phaedra S & Hammitt, James K & Graham, John D, 2001. "Valuing Mortality-Risk Reduction: Using Visual Aids to Improve the Validity of Contingent Valuation," Journal of Risk and Uncertainty, Springer, vol. 23(2), pages 165-184, September.
    8. W. Kip Viscusi & Joel Huber & Jason Bell, 2014. "Assessing Whether There Is A Cancer Premium For The Value Of A Statistical Life," Health Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 384-396, April.
    9. Hammitt James K. & Robinson Lisa A, 2011. "The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations," Journal of Benefit-Cost Analysis, De Gruyter, vol. 2(1), pages 1-29, January.
    10. Viscusi, W Kip, 2003. "Racial Differences in Labor Market Values of a Statistical Life," Journal of Risk and Uncertainty, Springer, vol. 27(3), pages 239-256, December.
    11. Viscusi, W Kip & Aldy, Joseph E, 2003. "The Value of a Statistical Life: A Critical Review of Market Estimates throughout the World," Journal of Risk and Uncertainty, Springer, vol. 27(1), pages 5-76, August.
    12. Kip Viscusi, W. & Aldy, Joseph E., 2007. "Labor market estimates of the senior discount for the value of statistical life," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 377-392, May.
    13. Viscusi, W. Kip & Hersch, Joni, 2008. "The mortality cost to smokers," Journal of Health Economics, Elsevier, vol. 27(4), pages 943-958, July.
    14. Viscusi, W. Kip & Masterman, Clayton J., 2017. "Income Elasticities and Global Values of a Statistical Life," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 8(2), pages 226-250, July.
    15. Scotton, Carol R., 2013. "New risk rates, inter-industry differentials and the magnitude of VSL estimates," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 4(1), pages 39-80, March.
    16. W. Kip Viscusi, 2004. "The Value of Life: Estimates with Risks by Occupation and Industry," Economic Inquiry, Western Economic Association International, vol. 42(1), pages 29-48, January.
    17. James Hammitt & Kevin Haninger, 2010. "Valuing fatal risks to children and adults: Effects of disease, latency, and risk aversion," Journal of Risk and Uncertainty, Springer, vol. 40(1), pages 57-83, February.
    18. Viscusi, W. Kip, 2011. "Policy Challenges of the Heterogeneity of the Value of Statistical Life," Foundations and Trends(R) in Microeconomics, now publishers, vol. 6(2), pages 99-172, July.
    19. Lauraine G. Chestnut & Robert D. Rowe & William S. Breffle, 2012. "Economic Valuation Of Mortality-Risk Reduction: Stated Preference Estimates From The United States And Canada," Contemporary Economic Policy, Western Economic Association International, vol. 30(3), pages 399-416, July.
    20. Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2006. "Pinning Down the Value of Statistical Life," Center for Policy Research Working Papers 85, Center for Policy Research, Maxwell School, Syracuse University.
    21. V. Kerry Smith & Mary F. Evans & Hyun Kim & Donald H. Taylor, 2004. "Do the Near-Elderly Value Mortality Risks Differently?," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 423-429, February.
    22. Cameron, Trudy Ann & DeShazo, J.R. & Johnson, Erica H., 2010. "The effect of children on adult demands for health-risk reductions," Journal of Health Economics, Elsevier, vol. 29(3), pages 364-376, May.
    23. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    24. Cem Tekeşin & Shihomi Ara, 2014. "Measuring the Value of Mortality Risk Reductions in Turkey," IJERPH, MDPI, vol. 11(7), pages 1-33, July.
    25. Liu, Jin-Tan & Hammitt, James K. & Liu, Jin-Long, 1997. "Estimated hedonic wage function and value of life in a developing country," Economics Letters, Elsevier, vol. 57(3), pages 353-358, December.
    26. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
    27. Yang Yang & Liwen Luo & Chao Song & Hao Yin & Jintao Yang, 2018. "Spatiotemporal Assessment of PM 2.5 -Related Economic Losses from Health Impacts during 2014–2016 in China," IJERPH, MDPI, vol. 15(6), pages 1-16, June.
    28. Sugio Furuya & Odgerel Chimed-Ochir & Ken Takahashi & Annette David & Jukka Takala, 2018. "Global Asbestos Disaster," IJERPH, MDPI, vol. 15(5), pages 1-11, May.
    29. Alberini, Anna & Cropper, Maureen & Krupnick, Alan & Simon, N.B.Nathalie B., 2004. "Does the value of a statistical life vary with age and health status? Evidence from the US and Canada," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 769-792, July.
    30. Hammitt, James K & Graham, John D, 1999. "Willingness to Pay for Health Protection: Inadequate Sensitivity to Probability?," Journal of Risk and Uncertainty, Springer, vol. 18(1), pages 33-62, April.
    31. Bijan J. Borah & Anirban Basu, 2013. "Highlighting Differences Between Conditional And Unconditional Quantile Regression Approaches Through An Application To Assess Medication Adherence," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1052-1070, September.
    32. Hammitt James K. & Robinson Lisa A, 2011. "The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations," Journal of Benefit-Cost Analysis, De Gruyter, vol. 2(1), pages 1-29, January.
    33. repec:reg:rpubli:282 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Junkai Zhao & Xinxin Zhang & Zongmin Li, 2019. "The Relationship between Cognitive Impairment and Social Vulnerability among the Elderly: Evidence from an Unconditional Quantile Regression Analysis in China," IJERPH, MDPI, vol. 16(19), pages 1-12, September.
    2. Pei-Ing Wu & Je-Liang Liou & Ta-Ken Huang, 2022. "Evaluation of Benefits and Health Co-Benefits of GHG Reduction for Taiwan’s Industrial Sector under a Carbon Charge in 2023–2030," IJERPH, MDPI, vol. 19(22), pages 1-24, November.
    3. Je-Liang Liou & Han-Hui Chen & Pei-Ing Wu, 2022. "The Monetary Benefits of Reducing Emissions of Dioxin-like Compounds—Century Poisons—Over Half a Century: Evaluation of the Benefit per Ton Method," IJERPH, MDPI, vol. 19(11), pages 1-21, May.
    4. Je-Liang Liou & Pei-Ing Wu, 2021. "Monetary Health Co-Benefits and GHG Emissions Reduction Benefits: Contribution from Private On-the-Road Transport," IJERPH, MDPI, vol. 18(11), pages 1-19, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lisa A. Robinson & James K. Hammitt, 2016. "Valuing Reductions in Fatal Illness Risks: Implications of Recent Research," Health Economics, John Wiley & Sons, Ltd., vol. 25(8), pages 1039-1052, August.
    2. James K. Hammitt & Jin-Tan Liu & Jin-Long Liu, 2022. "Is survival a luxury good? Income elasticity of the value per statistical life," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 239-260, December.
    3. Thomas J. Kniesner & W. Kip Viscusi, 2023. "Compensating Differentials for Occupational Health and Safety Risks: Implications of Recent Evidence," Research in Labor Economics, in: 50th Celebratory Volume, volume 50, pages 83-116, Emerald Group Publishing Limited.
    4. Henry A. Roman & James K. Hammitt & Tyra L. Walsh & David M. Stieb, 2012. "Expert Elicitation of the Value per Statistical Life in an Air Pollution Context," Risk Analysis, John Wiley & Sons, vol. 32(12), pages 2133-2151, December.
    5. Herrera-Araujo, Daniel & Rochaix, Lise, 2020. "Does the Value per Statistical Life vary with age or baseline health? Evidence from a compensating wage study in France," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    6. Hammitt, James K. & Herrera-Araujo, Daniel, 2018. "Peeling back the onion: Using latent class analysis to uncover heterogeneous responses to stated preference surveys," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 165-189.
    7. Aldy, Joseph Edgar & Smyth, Seamus J, 2014. "Heterogeneity in the Value of Life," Scholarly Articles 23017248, Harvard Kennedy School of Government.
    8. James K. Hammitt, 2020. "Valuing mortality risk in the time of COVID-19," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 129-154, October.
    9. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
    10. Hua Zan & Robert L. Scharff, 2017. "Regional Differences in the Value of Statistical Life," Journal of Consumer Policy, Springer, vol. 40(2), pages 157-176, June.
    11. W. Kip Viscusi, 2015. "The Role of Publication Selection Bias in Estimates of the Value of a Statistical Life," American Journal of Health Economics, University of Chicago Press, vol. 1(1), pages 27-52, Winter.
    12. Maureen Cropper & James K. Hammitt & Lisa A. Robinson, 2011. "Valuing Mortality Risk Reductions: Progress and Challenges," Annual Review of Resource Economics, Annual Reviews, vol. 3(1), pages 313-336, October.
    13. Anna Alberini & Milan Ščasný, 2021. "On the validity of the estimates of the VSL from contingent valuation: Evidence from the Czech Republic," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 55-87, February.
    14. W. Kip Viscusi, 2020. "Pricing the global health risks of the COVID-19 pandemic," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 101-128, October.
    15. Cropper, Maureen L. & Joiner, Emily & Krupnick, Alan, 2023. "Revisiting the Environmental Protection Agency's Value of a Statistical Life," RFF Working Paper Series 23-30, Resources for the Future.
    16. W. Viscusi & Elissa Gentry, 2015. "The value of a statistical life for transportation regulations: A test of the benefits transfer methodology," Journal of Risk and Uncertainty, Springer, vol. 51(1), pages 53-77, August.
    17. Patrick Carlin & Brian E. Dixon & Kosali I. Simon & Ryan Sullivan & Coady Wing, 2022. "How Undervalued is the Covid-19 Vaccine? Evidence from Discrete Choice Experiments and VSL Benchmarks," NBER Working Papers 30118, National Bureau of Economic Research, Inc.
    18. Rheinberger, Christoph M. & Schläpfer, Felix & Lobsiger, Michael, 2018. "A novel approach to estimating the demand value of public safety," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 285-305.
    19. Bellavance, Franois & Dionne, Georges & Lebeau, Martin, 2009. "The value of a statistical life: A meta-analysis with a mixed effects regression model," Journal of Health Economics, Elsevier, vol. 28(2), pages 444-464, March.
    20. James K. Hammitt & Fangli Geng & Xiaoqi Guo & Chris P. Nielsen, 2019. "Valuing mortality risk in China: Comparing stated-preference estimates from 2005 and 2016," Journal of Risk and Uncertainty, Springer, vol. 58(2), pages 167-186, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1620-:d:229529. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.