Exploring Models of School Performance: From Theory to Practice

Choi, Kilchan; Goldschmidt, Pete; Yamashiro, Kyo

doi:10.1111/j.1744-7984.2005.00028.x

Cited by 5 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From a confirmatory modeling perspective, the bipartite graph framing of this particular case of the incommensurate partitions problem offers several alternative specifications for the econometric modeling of spatial spillovers in this nexus. Consider a stylized educational outcomes model at the school level (Choi et al, 2005) that relates the performance of a school O j to characteristics of the school S j (e.g., student-teacher ratios, spending per student, teacher quality, etc.) as well as the neighborhood context (N j ) of the school:…”

Section: Specifications For Incommensurate Spatial Partitionsmentioning

confidence: 99%

“…These two specifications introduce new approaches toward incorporating school and neighborhood contextual effects into educational outcome models. There is broad scope to adopt these measures across the rich family of multilevel (Leckie, 2009;Raudenbush & Bryk, 1986) and longitudinal specifications (Choi et al, 2005) in this literature.…”

Section: Neighborhood-to-school Spilloversmentioning

confidence: 99%

See 1 more Smart Citation

Unraveling Incommensurate Spatial Partitions: A Bipartite Graph Approach to School-Neighborhood Interactions and Their Impacts

Rey,

Knaap,

Neal

et al. 2024

Preprint

View full text Add to dashboard Cite

This paper investigates the challenges and opportunities arising from incommensurate spatial partitions (ISPs) in regional science and spatial econometrics, focusing on how processes with overlapping yet distinct boundaries, interact and influence each other. ISPs are prevalent in various domains, including housing markets, employment centers, voting districts, and educational institutions, often complicating spatial econometric modeling and analysis. Using the intersection of school catchment areas and neighborhoods as a primary case study, the paperintroduces a novel methodological framework utilizing bipartite graphs.This approach reframes the relationship between different spatial units,allowing for the analysis of multi-process spatial contexts withoutneeding harmonization of spatial supports. The paper also develops newspatial weights derived from the bipartite graph, facilitating bothexploratory spatial data analysis and confirmatory spatial econometricmodeling. The paper's contributions include a set of new modelspecifications that consider spillovers from and to each of theprocesses involved, demonstrating the application of these methodsthrough a case study in San Diego, California. This involves analyzing198 neighborhoods and 370 public elementary school catchments, exploringthe implications of school-neighborhood interactions on educational outcomes and neighborhood characteristics.

show abstract

Section: Specifications For Incommensurate Spatial Partitionsmentioning

confidence: 99%