BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv6.3.0//EN
X-ORIGINAL-URL:https://cerec.be/
X-WR-CALNAME:Cerec
X-WR-CALDESC:Center for Research in Economics
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
DTSTART;TZID=Europe/Brussels:20240524T110000
DTEND;TZID=Europe/Brussels:20240524T123000
DTSTAMP:20240122T072600
UID:MEC-f33ba15effa5c10e873bf3842afb46a6@cerec.be
CREATED:20240122
LAST-MODIFIED:20240516
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Olivier De Groote (Toulouse School of Economics) – Matching disadvantaged children to daycare: Evidence from a centralized platform
DESCRIPTION:Olivier De Groote (Toulouse School of Economics) – Matching disadvantaged children to daycare: Evidence from a centralized platform\nROOM : P50\nAbstract : We use data from an online platform that centralizes a day care (0-3-year-olds) matching process. We estimate the preferences of parents and the priorities of nurseries using data from parents’ rank-ordered lists and the acceptance decisions of nurseries. To allow parents to be strategic, we provide a novel estimation approach using insights from the dynamic discrete choice framework. We then use the estimates to compare recently developed matching policies that are adapted to the specific nature of day care. We find that disadvantaged families benefit from reducing the role of nursery priorities in the matching process. Affirmative action policies strengthen this further. Advantaged families can be compensated for their loss by a modest increase in the available capacity. Affirmative action also increases segregation between both groups as we find that this is mainly driven by geographic segregation and the demand for nearby day care options.\n
URL:https://cerec.be/events/mathildepourtois-343/
ATTACH;FMTTYPE=image/jpeg:https://cerec.be/wp-content/uploads/2021/04/decembre-2017-1.jpeg
END:VEVENT
END:VCALENDAR