Matching Disadvantaged Children to Day Care: Evidence from a Centralized Platform

Olivier De Groote and Minyoung Rho ()

No 17547, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We use data from a platform that centralizes a day care matching process. We estimate parents' preferences and nursery priorities by analyzing parents' rank-ordered lists and nurseries' acceptance decisions. We account for strategic behavior by using a novel estimation approach inspired by the dynamic discrete choice framework. We use the estimates to evaluate centralized matching policies tailored to the day care setting. We compare mechanisms and assess the effects of subsidies, increased capacity, and affirmative action. We find that affirmative action policies are crucial for boosting the participation of disadvantaged children, though they increase segregation due to location-based preferences.

Keywords: day care; affirmative action; segregation; centralized matching markets; CCP estimation (search for similar items in EconPapers)
JEL-codes: C61 D82 I24 (search for similar items in EconPapers)
Pages: 73 pages
Date: 2024-12
New Economics Papers: this item is included in nep-des and nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://docs.iza.org/dp17547.pdf (application/pdf)

Related works:
Working Paper: Matching disadvantaged children to day care: Evidence from a centralized platform (2024)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp17547

Ordering information: This working paper can be ordered from
IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany

Access Statistics for this paper

More papers in IZA Discussion Papers from Institute of Labor Economics (IZA) IZA, P.O. Box 7240, D-53072 Bonn, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Holger Hinte ().