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The demand for teacher characteristics in the market for child care: Evidence from a field experiment

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  • Boyd-Swan, Casey
  • Herbst, Chris M.

Abstract

This paper sheds light on two key issues regarding the demand for teacher characteristics in the market for center-based child care. First, we study the extent to which teacher qualifications—often considered important inputs to classroom quality—are valued by providers during the hiring process. We then examine the impact of state regulations on hiring decisions. To do so, a resume audit study was administered in which job-seeker characteristics were randomly assigned to resumes that were submitted in response to real child care job postings in 14 U.S. cities. Our results indicate that center-based providers may not hire the most qualified applicants. For example, we find that although providers have a strong preference for individuals with previous work experience in early childhood education (ECE), those with more ECE experience are less likely to receive an interview than those with less experience. We also find that individuals with bachelor's degrees in ECE are no more likely to receive an interview than their counterparts at the associate's level. Our analysis of state regulations shows that they strongly influence teacher hiring decisions. We find that providers' advertised job requirements are largely in compliance with the state standards for teachers' experience and education. In addition, providers are substantially more likely to interview job-seekers who meet these requirements. Given that most providers voluntarily exceed the state regulations, a tentative conclusion is that such rules have a limited effect on child care supply and prices.

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  • Boyd-Swan, Casey & Herbst, Chris M., 2018. "The demand for teacher characteristics in the market for child care: Evidence from a field experiment," Journal of Public Economics, Elsevier, vol. 159(C), pages 183-202.
  • Handle: RePEc:eee:pubeco:v:159:y:2018:i:c:p:183-202
    DOI: 10.1016/j.jpubeco.2018.02.006
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    Cited by:

    1. Hinrichs, Peter, 2021. "What kind of teachers are schools looking for? Evidence from a randomized field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 395-411.
    2. Piopiunik, Marc & Schwerdt, Guido & Simon, Lisa & Woessmann, Ludger, 2020. "Skills, signals, and employability: An experimental investigation," European Economic Review, Elsevier, vol. 123(C).
    3. Chris M. Herbst, 2023. "Child Care In The United States: Markets, Policy, And Evidence," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 255-304, January.
    4. Ali, Umair & Herbst, Chris M. & Makridis, Christos A., 2021. "Minimum Quality Regulations and the Demand for Child Care Labor," IZA Discussion Papers 14684, Institute of Labor Economics (IZA).
    5. Lombardi, Caitlin McPherran & Fisk, Eleanor & Cook, Kyle DeMeo, 2021. "Do child care characteristics during toddlerhood explain income-based gaps in reading and math skills at preschool?," Children and Youth Services Review, Elsevier, vol. 131(C).
    6. Herbst, Chris M., 2024. "The Declining Relative Quality of the Child Care Workforce," IZA Discussion Papers 17351, Institute of Labor Economics (IZA).
    7. Brown, Jessica H. & Herbst, Chris M., 2021. "Child Care over the Business Cycle," IZA Discussion Papers 14048, Institute of Labor Economics (IZA).
    8. Gordon, James A. & Herbst, Chris M. & Tekin, Erdal, 2021. "Who's minding the kids? Experimental evidence on the demand for child care quality," Economics of Education Review, Elsevier, vol. 80(C).
    9. Herbst, Chris M., 2022. "Child Care in the United States: Markets, Policy, and Evidence," IZA Discussion Papers 15547, Institute of Labor Economics (IZA).
    10. Herbst, Chris M. & Desouza, Kevin C. & Alashri, Saud & Kandala, Srinivasa Srivatsav & Khullar, Mayank & Bajaj, Vikash, 2018. "What Do Parents Value in a Child Care Provider? Evidence from Yelp Consumer Reviews," IZA Discussion Papers 11741, Institute of Labor Economics (IZA).
    11. Jens Foerderer, 2023. "Should we trust web-scraped data?," Papers 2308.02231, arXiv.org.

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