@article{66ac13dbe28c489eb090a13e7cdb2c69,
title = "Racial and Ethnic Discrimination in the Labor Market for Child Care Teachers",
abstract = "This article examines racial and ethnic discrimination in the child care teacher hiring process. We construct a unique data set that combines a r{\'e}sum{\'e} audit study of center-based providers with a follow-up survey of those in the original audit sample. Fictitious r{\'e}sum{\'e}s were randomly assigned White-, Black-, and Hispanic-sounding names and submitted in response to real teacher job advertisements. The survey was then administered to capture the characteristics of children, teachers, and administrators within the center. These data reveal three key results. First, we find robust evidence of discrimination: Black and Hispanic applicants receive significantly fewer interview requests than observationally equivalent Whites. Second, our results are consistent with a model of customer discrimination: The racial and ethnic composition of the center{\textquoteright}s customer base is correlated with the characteristics of job seekers receiving an interview. Finally, we show that states{\textquoteright} child care regulations mitigate the racial and ethnic gap in interview requests.",
keywords = "center-based child care, discrimination in hiring, diversity, early childhood, economics of education, ethnicity, experimental research, race, racial discrimination, r{\'e}sum{\'e} audit study, survey research, teacher characteristics",
author = "Casey Boyd-Swan and Herbst, {Chris M.}",
note = "Funding Information: https://orcid.org/0000-0003-3869-5648 Boyd-Swan Casey 1 Herbst Chris M. 2 1 Kent State University, Kent, OH 2 Arizona State University, Phoenix, AZ cboydswa@kent.edu 10 2019 48 7 394 406 29 10 2018 8 2 2019 10 5 2019 5 7 2019 9 7 2019 {\textcopyright} 2019 AERA 2019 American Educational Research Association This article examines racial and ethnic discrimination in the child care teacher hiring process. We construct a unique data set that combines a r{\'e}sum{\'e} audit study of center-based providers with a follow-up survey of those in the original audit sample. Fictitious r{\'e}sum{\'e}s were randomly assigned White-, Black-, and Hispanic-sounding names and submitted in response to real teacher job advertisements. The survey was then administered to capture the characteristics of children, teachers, and administrators within the center. These data reveal three key results. First, we find robust evidence of discrimination: Black and Hispanic applicants receive significantly fewer interview requests than observationally equivalent Whites. Second, our results are consistent with a model of customer discrimination: The racial and ethnic composition of the center{\textquoteright}s customer base is correlated with the characteristics of job seekers receiving an interview. Finally, we show that states{\textquoteright} child care regulations mitigate the racial and ethnic gap in interview requests. center-based child care discrimination in hiring diversity early childhood economics of education ethnicity experimental research race racial discrimination r{\'e}sum{\'e} audit study survey research teacher characteristics Smith Richardson Foundation https://doi.org/10.13039/100001314 Grant Number 2016-1160 College of Public Service and Community Solutions, Arizona State University ORCID iD Casey Boyd-Swan https://orcid.org/0000-0003-3869-5648 Publisher Copyright: {\textcopyright} 2019 AERA.",
year = "2019",
month = oct,
day = "1",
doi = "10.3102/0013189X19867941",
language = "English (US)",
volume = "48",
pages = "394--406",
journal = "Educational Researcher ",
issn = "0013-189X",
publisher = "SAGE Publications Inc.",
number = "7",
}