Who Gets What in Education: Can School Matching Improve Student Achievement? Working Paper 34936
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| Title: | Who Gets What in Education: Can School Matching Improve Student Achievement? Working Paper 34936 |
|---|---|
| Language: | English |
| Authors: | Atila Abdulkadiroglu, Parag A. Pathak, Christopher R. Walters, National Bureau of Economic Research (NBER) |
| Source: | National Bureau of Economic Research. 2026. |
| Availability: | National Bureau of Economic Research. 1050 Massachusetts Avenue, Cambridge, MA 02138-5398. Tel: 617-588-0343; Web site: http://www.nber.org |
| Peer Reviewed: | N |
| Publication Date: | 2026 |
| Document Type: | Reports - Research |
| Education Level: | High Schools Secondary Education |
| Descriptors: | Urban Schools, Educational Change, School Organization, School Closing, Academic Achievement, High Schools, Resource Allocation, School Choice, Admission (School), Educational Policy, Educational Resources |
| Geographic Terms: | New York (New York) |
| Abstract: | We examine two approaches to improving urban school systems: changing who gets to go to existing schools (reallocation) and restructuring school portfolios through closures and reconstitution (resource augmentation). Using data from New York City high schools, we estimate models of school effects allowing for both vertical school quality differences and horizontal student-specific match effects. While sophisticated reallocation policies that optimize student-school matches can generate modest educational gains, they are constrained by limited seats at highly effective schools. Simple resource-augmentation policies targeting replacement of low-performing schools achieve comparable improvements with less systemic disruption. Analysis of NYC's school closures reveals that basic graduation rate metrics effectively identify struggling schools, suggesting complex value-added models may be unnecessary for targeting closure decisions. Our findings indicate that capacity constraints, rather than poor school matching, primarily drive educational inequality. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Access URL: | https://www.nber.org/papers/w34936 |
| Accession Number: | ED679664 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
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| Header | DbId: eric DbLabel: ERIC An: ED679664 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Who Gets What in Education: Can School Matching Improve Student Achievement? Working Paper 34936 – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Atila+Abdulkadiroglu%22">Atila Abdulkadiroglu</searchLink><br /><searchLink fieldCode="AR" term="%22Parag+A%2E+Pathak%22">Parag A. Pathak</searchLink><br /><searchLink fieldCode="AR" term="%22Christopher+R%2E+Walters%22">Christopher R. Walters</searchLink><br /><searchLink fieldCode="AR" term="%22National+Bureau+of+Economic+Research+%28NBER%29%22">National Bureau of Economic Research (NBER)</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22National+Bureau+of+Economic+Research%22"><i>National Bureau of Economic Research</i></searchLink>. 2026. – Name: Avail Label: Availability Group: Avail Data: National Bureau of Economic Research. 1050 Massachusetts Avenue, Cambridge, MA 02138-5398. Tel: 617-588-0343; Web site: http://www.nber.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22High+Schools%22">High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Urban+Schools%22">Urban Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Change%22">Educational Change</searchLink><br /><searchLink fieldCode="DE" term="%22School+Organization%22">School Organization</searchLink><br /><searchLink fieldCode="DE" term="%22School+Closing%22">School Closing</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22High+Schools%22">High Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+Allocation%22">Resource Allocation</searchLink><br /><searchLink fieldCode="DE" term="%22School+Choice%22">School Choice</searchLink><br /><searchLink fieldCode="DE" term="%22Admission+%28School%29%22">Admission (School)</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Policy%22">Educational Policy</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Resources%22">Educational Resources</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22New+York+%28New+York%29%22">New York (New York)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We examine two approaches to improving urban school systems: changing who gets to go to existing schools (reallocation) and restructuring school portfolios through closures and reconstitution (resource augmentation). Using data from New York City high schools, we estimate models of school effects allowing for both vertical school quality differences and horizontal student-specific match effects. While sophisticated reallocation policies that optimize student-school matches can generate modest educational gains, they are constrained by limited seats at highly effective schools. Simple resource-augmentation policies targeting replacement of low-performing schools achieve comparable improvements with less systemic disruption. Analysis of NYC's school closures reveals that basic graduation rate metrics effectively identify struggling schools, suggesting complex value-added models may be unnecessary for targeting closure decisions. Our findings indicate that capacity constraints, rather than poor school matching, primarily drive educational inequality. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://www.nber.org/papers/w34936" linkWindow="_blank">https://www.nber.org/papers/w34936</link> – Name: AN Label: Accession Number Group: ID Data: ED679664 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED679664 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: Urban Schools Type: general – SubjectFull: Educational Change Type: general – SubjectFull: School Organization Type: general – SubjectFull: School Closing Type: general – SubjectFull: Academic Achievement Type: general – SubjectFull: High Schools Type: general – SubjectFull: Resource Allocation Type: general – SubjectFull: School Choice Type: general – SubjectFull: Admission (School) Type: general – SubjectFull: Educational Policy Type: general – SubjectFull: Educational Resources Type: general – SubjectFull: New York (New York) Type: general Titles: – TitleFull: Who Gets What in Education: Can School Matching Improve Student Achievement? Working Paper 34936 Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: National Bureau of Economic Research (NBER) – PersonEntity: Name: NameFull: Atila Abdulkadiroglu – PersonEntity: Name: NameFull: Parag A. Pathak – PersonEntity: Name: NameFull: Christopher R. Walters IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Type: published Y: 2026 Titles: – TitleFull: National Bureau of Economic Research Type: main |
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