adult_services: Data from a survey of internet-mediated sex workers

adult_servicesR Documentation

Data from a survey of internet-mediated sex workers

Description

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.

Usage

adult_services

Format

A data frame with 1787 rows and 31 variables

id

Provider identifier

session

Client session identifier

age

Age of provider

age_cl

Age of Client

appearance_cl

Client Attractiveness (Scale of 1 to 10)

bmi

Body Mass Index

schooling

Imputed Years of Schooling

asq_cl

Age of Client Squared

provider_second

Second Provider Involved

asian_cl

Asian Client

black_cl

Black Client

hispanic_cl

Hispanic Client

othrace_cl

Other Ethnicity Client

reg

Client was a Regular

hot

Met Client in Hotel

massage_cl

Gave Client a Massage

lnw

Log of Hourly Wage

llength

Ln(Length)

unsafe

Unprotected sex with client of any kind

asian

race==1. Asian

black

race==2. Black

hispanic

race==3. Hispanic

other

race==4. Other

white

race==5. White

asq

Age of provider squared

cohab

ms==Cohabitating (living with a partner) but unmarried

married

ms==Currently married and living with your spouse

divorced

ms==Divorced and not remarried

separated

ms==Married but not currently living with your spouse

nevermarried

ms==Single and never married

widowed

ms==Widowed and not remarried

Details

This data is used in the Panel Data chapter of Causal Inference: The Mixtape by Cunningham.

Source

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.

References

Cunningham. 2021. Causal Inference: The Mixtape. Yale Press. https://mixtape.scunning.com/index.html.


causaldata documentation built on Oct. 25, 2024, 1:07 a.m.