| adult_services | R Documentation |
This data comes from a survey of 700 internet-mediated sex workers in 2008 and 2009, asking the same sex workers standard labor market information over several time periods.
adult_services
A data frame with 1787 rows and 31 variables
Provider identifier
Client session identifier
Age of provider
Age of Client
Client Attractiveness (Scale of 1 to 10)
Body Mass Index
Imputed Years of Schooling
Age of Client Squared
Second Provider Involved
Asian Client
Black Client
Hispanic Client
Other Ethnicity Client
Client was a Regular
Met Client in Hotel
Gave Client a Massage
Log of Hourly Wage
Ln(Length)
Unprotected sex with client of any kind
race==1. Asian
race==2. Black
race==3. Hispanic
race==4. Other
race==5. White
Age of provider squared
ms==Cohabitating (living with a partner) but unmarried
ms==Currently married and living with your spouse
ms==Divorced and not remarried
ms==Married but not currently living with your spouse
ms==Single and never married
ms==Widowed and not remarried
This data is used in the Panel Data chapter of Causal Inference: The Mixtape by Cunningham.
Cunningham, Scott, and Todd D. Kendall. 2011. “Prostitution 2.0: The Changing Face of Sex Work.” Journal of Urban Economics 69: 273–87.
Cunningham, Scott, and Todd D. Kendall. 2014. “Examining the Role of Client Reviews and Reputation Within Online Prostitution.” In, edited by Scott Cunningham and Manisha Shah. Vol. Handbook on the Economics of Prostitution. Oxford University Press.
Cunningham, Scott, and Todd D. Kendall. 2016. “Prostitution Labor Supply and Education.” Review of Economics of the Household. Forthcoming.
Cunningham. 2021. Causal Inference: The Mixtape. Yale Press. https://mixtape.scunning.com/index.html.