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Willingness to pay functions for emergency ambulance services

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    4. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, 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. 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.
    7. Hanley, Nick & Mourato, Susana & Wright, Robert E, 2001. "Choice Modelling Approaches: A Superior Alternative for Environmental Valuation?," Journal of Economic Surveys, Wiley Blackwell, vol. 15(3), pages 435-462, July.
    8. Cotes, Nathalie & Cantillo, Victor, 2019. "Including deprivation costs in facility location models for humanitarian relief logistics," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 89-100.
    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.
    10. Victor Cantillo & Luis F. Macea & Miguel Jaller, 2019. "Assessing Vulnerability of Transportation Networks for Disaster Response Operations," Networks and Spatial Economics, Springer, vol. 19(1), pages 243-273, March.
    11. 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.
    12. Cantillo, Victor & Serrano, Iván & Macea, Luis F. & Holguín-Veras, José, 2018. "Discrete choice approach for assessing deprivation cost in humanitarian relief operations," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 33-46.
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    Cited by:

    1. 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.
    2. 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).

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