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Premium Sex: Factors Influencing the Negotiated Price of Unprotected Sex by Female Sex Workers in Mexico

Author

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  • Adela de la Torre
  • Arthur Havenner
  • Katherine Adams
  • Justin Ng

Abstract

This paper examines economic, sociocultural, and behavioral risk factors that influence the compensating price difference (premium paid) between sex with and without a condom for female sex workers (FSWs) in U.S.-Mexico border cities. Field data collected in Ciudad Juarez on the price of sex with and without a condom for the same FSW respondent allowed calculation of the price premium for unprotected sex based on these paired prices, holding unobservable characteristics constant. A Tobit model was used to identify the factors determining the price premium. Key predictors of a larger price premium for sex without a condom included: length of time as a FSW; number of male clients; and participation in HIV education. Key predictors of a decrease in the price premium for unprotected sex included: age; a bad financial situation; frequent alcohol consumption before or during sex; and frequent drug use before or during sex.

Suggested Citation

  • Adela de la Torre & Arthur Havenner & Katherine Adams & Justin Ng, 2010. "Premium Sex: Factors Influencing the Negotiated Price of Unprotected Sex by Female Sex Workers in Mexico," Journal of Applied Economics, Taylor & Francis Journals, vol. 13(1), pages 67-90, May.
    • Handle: RePEc:taf:recsxx:v:13:y:2010:i:1:p:67-90
    DOI: 10.1016/S1514-0326(10)60004-9
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    Citations

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    Cited by:

    1. Peter Egger & Andreas Lindenblatt, 2015. "Endogenous risk-taking and physical appearance of sex workers," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(9), pages 941-949, December.
    2. Hiroyuki Yamada & Yuki Kanayama & Kanako Yoshikawa & Kyaw Wai Aung, 2023. "Risk attitude, risky behaviour and price determination in the sex market: A case study of Yangon, Myanmar," Pacific Economic Review, Wiley Blackwell, vol. 28(5), pages 665-691, December.
    3. Shoji, Masahiro & Tsubota, Kenmei, 2022. "Sexual exploitation of trafficked children: Survey evidence from child sex workers in Bangladesh," Journal of Comparative Economics, Elsevier, vol. 50(1), pages 101-117.
    4. Chang, Hung-Hao & Weng, Yungho, 2012. "What is more important for prostitute price? Physical appearance or risky sex behavior?," Economics Letters, Elsevier, vol. 117(2), pages 480-483.
    5. Raj Arunachalam & Manisha Shah, 2013. "Compensated for Life: Sex Work and Disease Risk," Journal of Human Resources, University of Wisconsin Press, vol. 48(2), pages 345-369.
    6. Matthew Quaife & Peter Vickerman & Shanthi Manian & Robyn Eakle & Maria A. Cabrera‐Escobar & Sinead Delany‐Moretlwe & Fern Terris‐Prestholt, 2018. "The effect of HIV prevention products on incentives to supply condomless commercial sex among female sex workers in South Africa," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1550-1566, October.
    7. Andreas Lindenblatt & Peter Egger, 2017. "The long shadow of the Iron Curtain for female sex workers in German cities: Border effects and regional differences," Urban Studies, Urban Studies Journal Limited, vol. 54(3), pages 649-677, February.
    8. Rafael Muñoz de Bustillo & Enrique Fernández-Macías & José-Ignacio Antón & Fernando Esteve, 2011. "Measuring More than Money," Books, Edward Elgar Publishing, number 14072.
    9. Manian, Shanthi, 2021. "Conflict and risky health behavior: Evidence from Mexico's drug war," Journal of Development Economics, Elsevier, vol. 148(C).
    10. Matthew Quaife & Fern Terris‐Prestholt & Zindoga Mukandavire & Peter Vickerman, 2021. "Modelling the effect of market forces on the impact of introducing human immunodeficiency virus pre‐exposure prophylaxis among female sex workers," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 659-679, March.
    11. Serieux, John E. & Munthali, Spy & Sepehri, Ardeshir & White, Robert, 2012. "The Impact of the Global Economic Crisis on HIV and AIDS Programs in a High Prevalence Country: The Case of Malawi," World Development, Elsevier, vol. 40(3), pages 501-515.

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