The Effect of Neighborhood Poverty on Math Achievement
Evidence From a Value-Added Design
Dados Bibliográficos
| ID | 9729550 |
|---|---|
| Autores | F A Pearman (0000-0002-9516-8302, University of Pittsburgh, Pittsburgh, PA, USA, autor correspondente) |
| Ano | 2019 |
| Volume | 51 |
| Fascículo | 2 |
| Páginas | 289-307 |
| Data de publicação | 2019-02-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Education and Urban Society (JOURNAL) |
| Identificadores do periódico | ISSN: 0013-1245 • E-ISSN: 1552-3535 |
| Editora | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013124517715066 |
| OpenAlex | W2735303722 |
| Idioma | EN |
| Citações recebidas | 10 |
| Referências citadas | 32 |
Two trends play an increasing role in shaping the long-term prospects of children across the United States: a growing STEM (science, technology, engineering, and mathematics)-based economy and rising income segregation. Together, they suggest that the future well-being of U.S. children may be based increasingly on the contemporary interplay of mathematical learning and neighborhood environments. Drawing on data from the Panel Study of Income Dynamics and a value-added design, this article provides a rigorous test of the hypothesis that exposure to high-poverty neighborhoods exerts a depressive effect on children’s mathematics achievement growth beyond that associated with individual-, family-, and school-level characteristics. Results indicate that exposure to higher-poverty neighborhoods reduces children’s mathematical growth, a treatment effect roughly equivalent to missing three quarters of a year of schooling over the 5-year treatment period. A formal sensitivity analysis suggests that these effects are remarkably robust to unobserved residual confounding
Academic achievement · Demographic economics · Econometrics · Economic growth · Economics · Mathematics education · Panel data · Panel Study of Income Dynamics · Poverty · Residual · Statistics · Test (biology · Value (mathematics · Intergenerational and Educational Inequality Studies · Mathematics · Psychology · School Choice and Performance · Urban, Neighborhood, and Segregation Studies
Educación y apoyo familiar, y logro en matemáticas en dos contextos sociodemográficos diferentes
Linking wellbeing to success
Embedding a Parenting Skills Program in Public PreK
Understanding trends and drivers of urban poverty in American cities
The social contexts of educational disadvantage
Why Not
Diverging Trajectories of Child Externalizing Behavior by Family Economic Status at Birth
Neighborhood disadvantage and children’s cognitive skill trajectories
Taking a social‐class‐in‐context perspective on the psychology of social class
School Credentials
Inequality and the Measurement of Residential Segregation by Income in American Neighborhoods
Generalizations about Using Value-Added Measures of Teacher Quality
Measuring the Impacts of Teachers I
School Composition and Contextual Effects on Student Outcomes
Nutrition and brain development in early life
The Truly Disadvantaged
The Mechanism(s) of Neighbourhood Effects
Multiple Imputation for Nonresponse in Surveys
Exposure to Neighborhood Affluence and Poverty in Childhood and Adolescence and Academic Achievement and Behavior
Perceived Neighborhood Safety and Adolescent School Functioning
Home and preschool learning environments and their relations to the development of early numeracy skills
School Choice, Gentrification, and the Variable Significance of Racial Stratification in Urban Neighborhoods
Cumulative risk and child development
Beyond the Census Tract
Neighborhood Effects in Temporal Perspective
Student Neighborhoods, Schools, and Test Score Growth
Neighborhood Effect Heterogeneity by Family Income and Developmental Period
The Legacy of Disadvantage
Income Inequality and Income Segregation
Counterfactual Models of Neighborhood Effects
Neighborhood characteristics, parental practices and children's math achievement in elementary school
| Obras citantes distintas | 10 |
|---|---|
| Citações por ano | 1,67 |
| Intervalo de citações | 2020 - 2025 (6) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 9 |