IDEAS home Printed from https://ideas.repec.org/a/vrs/ceuecj/v12y2025i59p1-16n1001.html
   My bibliography  Save this article

Comparative Analysis of Hedonic Wage and Discrete Choice Models in Valuing Job Safety

Author

Listed:
  • Zhang Nan

    (Trento University, Department of Economics and Management, Via Vigilio Inama, 5, 38122, Trento TN, Italy)

Abstract

This is the first study to compare the hedonic wage and discrete choice models in the context of real job market choices. The hedonic wage method is the most widely adopted approach in estimating the value of marginal changes in mortality risks (or value of a statistical life, VSL). Alternatively, the discrete choice model offers a framework for valuing non-market goods, often used in choice experiments involving hypothetical job selection scenarios. This study employs both the hedonic wage and discrete choice models, using real market data from Taiwan‘s Panel Survey of Family Dynamics (PSFD 2016-2018), to examine workers‘ industry choices and infer their willingness to pay for job safety. By comparing the estimation results from the discrete choice model and the hedonic wage model, this study finds that the marginal willingness to pay (MWTP) for risk reduction estimated from discrete choice models is unreasonably large and therefore prefers the hedonic wage model in estimating the value of job safety. The findings of this study contribute to the literature comparing the hedonic model and the discrete choice model in evaluating environmental goods, which are mainly conducted using housing market data.

Suggested Citation

  • Zhang Nan, 2025. "Comparative Analysis of Hedonic Wage and Discrete Choice Models in Valuing Job Safety," Central European Economic Journal, Sciendo, vol. 12(59), pages 1-16.
  • Handle: RePEc:vrs:ceuecj:v:12:y:2025:i:59:p:1-16:n:1001
    DOI: 10.2478/ceej-2025-0001
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ceej-2025-0001
    Download Restriction: no

    File URL: https://libkey.io/10.2478/ceej-2025-0001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    2. Banzhaf, H. Spencer, 2022. "The Value of Statistical Life: A Meta-Analysis of Meta-Analyses," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 13(2), pages 182-197, July.
    3. Cragg, Michael & Kahn, Matthew, 1997. "New Estimates of Climate Demand: Evidence from Location Choice," Journal of Urban Economics, Elsevier, vol. 42(2), pages 261-284, September.
    4. Wong, Maisy, 2010. "The Relationship between Marginal Willingness-to-Pay in the Hedonic and Discrete Choice Models," MPRA Paper 51218, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    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. Abdurrahman B. Aydemir & Erkan Duman, 2021. "Migrant Networks and Destination Choice: Evidence from Moves across Turkish Provinces," Koç University-TUSIAD Economic Research Forum Working Papers 2109, Koc University-TUSIAD Economic Research Forum.
    2. Maddison, David & Rehdanz, Katrin, 2011. "The impact of climate on life satisfaction," Ecological Economics, Elsevier, vol. 70(12), pages 2437-2445.
    3. Czajkowski, Mikołaj & Zagórska, Katarzyna & Letki, Natalia & Tryjanowski, Piotr & Wąs, Adam, 2021. "Drivers of farmers’ willingness to adopt extensive farming practices in a globally important bird area," Land Use Policy, Elsevier, vol. 107(C).
    4. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    5. Alexander Cheung & Joseph Marchand & Patricia Mark, 2022. "Loss of Life and Labor Productivity: The Canadian Opioid Crisis," The ANNALS of the American Academy of Political and Social Science, , vol. 703(1), pages 303-323, September.
    6. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    7. Mogens Fosgerau & André de Palma, 2016. "Generalized entropy models," Working Papers hal-01291347, HAL.
    8. Doherty, Edel & Campbell, Danny, 2011. "Demand for improved food safety and quality: a cross-regional comparison," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108791, Agricultural Economics Society.
    9. Allais, Olivier & Etilé, Fabrice & Lecocq, Sébastien, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Journal of Health Economics, Elsevier, vol. 43(C), pages 27-44.
    10. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    11. Kesternich, Iris & Heiss, Florian & McFadden, Daniel & Winter, Joachim, 2013. "Suit the action to the word, the word to the action: Hypothetical choices and real decisions in Medicare Part D," Journal of Health Economics, Elsevier, vol. 32(6), pages 1313-1324.
    12. Khan, Mohammed Tajuddin & Kishore, Avinash & Joshi, Pramod K., 2016. "Gender dimensions on farmers’ preferences for direct-seeded rice with drum seeder in India," IFPRI discussion papers 1550, International Food Policy Research Institute (IFPRI).
    13. Bargain, Olivier & Orsini, Kristian, 2006. "In-work policies in Europe: Killing two birds with one stone?," Labour Economics, Elsevier, vol. 13(6), pages 667-697, December.
    14. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    15. Arlan Brucal & Michael Roberts, 2015. "Can Energy Efficiency Standards Reduce Prices and Improve Quality? Evidence from the US Clothes Washer Market," Working Papers 2015-5, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    16. Wong, Maisy, 2010. "The Relationship between Marginal Willingness-to-Pay in the Hedonic and Discrete Choice Models," MPRA Paper 51218, University Library of Munich, Germany.
    17. Wong, S.C. & Wong, C.W. & Sze, N.N., 2008. "Attitudes of public light bus drivers to penalties to combat red light violations in Hong Kong," Transport Policy, Elsevier, vol. 15(1), pages 43-54, January.
    18. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    19. Meredith Fowlie, 2010. "Emissions Trading, Electricity Restructuring, and Investment in Pollution Abatement," American Economic Review, American Economic Association, vol. 100(3), pages 837-869, June.
    20. Cho, Woohyun & Windle, Robert J. & Dresner, Martin E., 2017. "The impact of operational exposure and value-of-time on customer choice: Evidence from the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 455-471.

    More about this item

    Keywords

    Nonmarket valuation; Hedonic wage model; Random utility model; Value of safety; VSL;
    All these keywords.

    JEL classification:

    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

    Statistics

    Access and download statistics

    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:vrs:ceuecj:v:12:y:2025:i:59:p:1-16:n:1001. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.