IDEAS home Printed from https://ideas.repec.org/a/eee/eejocm/v30y2019icp28-37.html
   My bibliography  Save this article

Willingness to pay functions for emergency ambulance services

Author

Listed:
  • Delgado-Lindeman, Maira
  • Arellana, Julián
  • Cantillo, Víctor

Abstract

In the case of a medical emergency, a failure to provide timely care could have serious health consequences and even cause death. When the waiting time increases, the patient perceives the loss of well-being associated with the lack of primary care. Considering the willingness to pay (WTP) for avoiding human suffering in the context of emergency medical services (EMS) within the impact assessment of prehospital care is a relatively new research topic. This paper evaluates, through discrete choice models, the WTP for avoiding the externality associated with the human suffering experienced by the patient who does not receive immediate attention in a medical emergency.

Suggested Citation

  • Delgado-Lindeman, Maira & Arellana, Julián & Cantillo, Víctor, 2019. "Willingness to pay functions for emergency ambulance services," Journal of choice modelling, Elsevier, vol. 30(C), pages 28-37.
    • Handle: RePEc:eee:eejocm:v:30:y:2019:i:c:p:28-37
    DOI: 10.1016/j.jocm.2018.12.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1755534518300733
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jocm.2018.12.001?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    2. repec:bla:jecsur:v:15:y:2001:i:3:p:435-62 is not listed on IDEAS
    3. Macea, Luis F. & Cantillo, Victor & Arellana, Julian, 2018. "Influence of attitudes and perceptions on deprivation cost functions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 125-141.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    5. Víctor Cantillo & Juan de Dios Ortúzar & Huw C. W. L. Williams, 2007. "Modeling Discrete Choices in the Presence of Inertia and Serial Correlation," Transportation Science, INFORMS, vol. 41(2), pages 195-205, May.
    6. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, January.
    7. Joan L. Walker & Yanqiao Wang & Mikkel Thorhauge & Moshe Ben-Akiva, 2018. "D-efficient or deficient? A robustness analysis of stated choice experimental designs," Theory and Decision, Springer, vol. 84(2), pages 215-238, March.
    8. Nick Hanley & Susana Mourato & Robert E. Wright, 2001. "Choice Modelling Approaches: A Superior Alternative for Environmental Valuatioin?," Journal of Economic Surveys, Wiley Blackwell, vol. 15(3), pages 435-462, July.
    9. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    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. Paul, Jomon A. & Wang, Xinfang, 2025. "A scenario robust Bi-objective model for integrating disaster mitigation and preparedness," Socio-Economic Planning Sciences, Elsevier, vol. 101(C).
    2. Amaya, Johanna & Serrano, Ivan & Cantillo, Víctor & Arellana, Julián & Pérez, Cinthia C., 2024. "Implications of trust, preparedness, risk perceptions, and local context on deprivation costs and disaster relief planning," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    3. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.
    4. Encarnacion, Trilce, 2025. "Econometric estimation of deprivation cost functions for emergency medical services," Socio-Economic Planning Sciences, Elsevier, vol. 101(C).
    5. Fernandez Pernett, Stephanie & Amaya, Johanna & Arellana, Julián & Cantillo, Victor, 2022. "Questioning the implication of the utility-maximization assumption for the estimation of deprivation cost functions after disasters," International Journal of Production Economics, Elsevier, vol. 247(C).
    6. Shi, Wenqiang & He, Jie & Wang, Mingyue & Yang, Fang, 2024. "A dynamics model of the emergency medical supply chain in epidemic considering deprivation cost," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).

    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. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    2. de Ayala, Amaia & Hoyos, David & Mariel, Petr, 2015. "Suitability of discrete choice experiments for landscape management under the European Landscape Convention," Journal of Forest Economics, Elsevier, vol. 21(2), pages 79-96.
    3. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    4. Domínguez-Torreiro, Marcos & Soliño, Mario, 2011. "Provided and perceived status quo in choice experiments: Implications for valuing the outputs of multifunctional rural areas," Ecological Economics, Elsevier, vol. 70(12), pages 2523-2531.
    5. Lancsar, Emily & Louviere, Jordan & Flynn, Terry, 2007. "Several methods to investigate relative attribute impact in stated preference experiments," Social Science & Medicine, Elsevier, vol. 64(8), pages 1738-1753, April.
    6. Alemu I, Jahson Berhane & Schuhmann, Peter & Agard, John, 2019. "Mixed preferences for lionfish encounters on reefs in Tobago: Results from a choice experiment," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    7. Sriwastava, Ambuj & Reichert, Peter, 2023. "Reducing sample size requirements by extending discrete choice experiments to indifference elicitation," Journal of choice modelling, Elsevier, vol. 48(C).
    8. Macea, Luis F. & Cantillo, Victor & Arellana, Julian, 2018. "Influence of attitudes and perceptions on deprivation cost functions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 125-141.
    9. Raux, Charles & Chevalier, Amandine & Bougna, Emmanuel & Hilton, Denis, 2021. "Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives," Research in Transportation Economics, Elsevier, vol. 90(C).
    10. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    11. González, Rosa Marina & Román, Concepción & Ortúzar, Juan de Dios, 2019. "Preferences for sustainable mobility in natural areas: The case of Teide National Park," Journal of Transport Geography, Elsevier, vol. 76(C), pages 42-51.
    12. Tim Taylor & A Longo, 2009. "Valuation of Marine Ecosystem Threshold Effects: Application of Choice Experiments to Value Algal Bloom in the Black Sea Coast of Bulgaria," Department of Economics Working Papers 7/09, University of Bath, Department of Economics.
    13. Varun Raturi & Ashish Verma, 2019. "Competition between High Speed Rail and Conventional Transport Modes: Market Entry Game Analysis on Indian Corridors," Networks and Spatial Economics, Springer, vol. 19(3), pages 763-790, September.
    14. Farsi, Mehdi, 2010. "Risk aversion and willingness to pay for energy efficient systems in rental apartments," Energy Policy, Elsevier, vol. 38(6), pages 3078-3088, June.
    15. Danne, Michael & Mußhoff, Oliver, 2018. "Producers' valuation of animal welfare practices: Does herd size matter?," DARE Discussion Papers 1801, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    16. Lizin, Sebastien & Van Passel, Steven & Schreurs, Eloi, 2015. "Farmres' Perceived Cost of Land Use restrictions: A Simulated Purchasing Decision Using Dscrete Choice Experiments," 2015 Conference, August 9-14, 2015, Milan, Italy 212054, International Association of Agricultural Economists.
    17. Chandoevwit, Worawan & Wasi, Nada, 2020. "Incorporating discrete choice experiments into policy decisions: Case of designing public long-term care insurance," Social Science & Medicine, Elsevier, vol. 258(C).
    18. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.
    19. Reithmayer, Corrina & Danne, Michael & Mußhoff, Oliver, "undated". "Look at that! – The effect pictures have on consumer preferences for in ovo gender determination as an alternative to culling male chicks," Department of Agricultural and Rural Development (DARE) Discussion Papers 298419, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    20. Halkos, George & Galani, Georgia, 2016. "Assessing willingness to pay for marine and coastal ecosystems: A Case Study in Greece," MPRA Paper 68767, University Library of Munich, Germany.

    More about this item

    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:eee:eejocm:v:30:y:2019:i:c:p:28-37. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-choice-modelling .

    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.