Neighborhood Attributes as Determinants of Children's Outcomes: How Robust Are the Relationships?

Ginther, Donna K.; Haveman, Robert; Wolfe, Barbara

doi:10.2307/146365

Cited by 172 publications

(174 citation statements)

References 24 publications

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“…6 Solon et al (2000) were the first to apply the method of 5 Exceptions are Bauer et al (2012), Bauer et al (2013), and Hawranek and Schanne (2014). 6 In an overview of numerous studies applying this approach, Ginther et al (2000) find a very large variation in results depending on the choice of the control variables and the selection of the neighborhood characteristics.…”

Section: Econometric Model and Empirical Strategymentioning

confidence: 99%

Is it the family or the neighborhood? Evidence from sibling and neighbor correlations in youth education and health

Bügelmayer

Schnitzlein

2017

J Econ Inequal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in SOEPpapers on Multidisciplinary Panel Data Research at DIW BerlinThis series presents research findings based either directly on data from the German SocioEconomic Panel Study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science.The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly.Any opinions expressed in this series are those of the author(s) and not those of DIW Berlin.Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions. AbstractIn this paper we present sibling and neighbor correlations in school grades and cognitive skills as well as indicators of physical and mental health for a sample of German adolescents. In a first step, we estimate sibling correlations and find substantial influence of shared family and community background on all outcomes. To further disentangle the influence of family background and neighborhood, we estimate neighbor correlations. Our results show that for all outcomes, estimated neighbor correlations are clearly lower than estimated sibling correlations. However, especially for cognitive skills and mental health, neighbor correlations are still substantial in relation to sibling correlations. Thus, compared to existing results from other countries, the influence of the neighborhood is not negligible in Germany for these outcomes. JEL codes: J62

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Section: Econometric Model and Empirical Strategymentioning

confidence: 99%

Is it the family or the neighborhood? Evidence from sibling and neighbor correlations in youth education and health

Bügelmayer

Schnitzlein

2017

J Econ Inequal

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“…Estimates of neighborhood effects on high school graduation, years of schooling, and teenage nonmarital childbearing from standard regression models are extremely sensitive to the individual and family characteristics for which one controls, with strong effects when no individual and family characteristics are controlled and smaller and often nonsignificant effects when an extensive set of individual and family attributes are controlled (Ginther, Haveman, and Wolfe 2000). It is no surprise then that studies with different model specifications come to contradictory conclusions about the importance of neighborhoods for child development (e.g., compare Brooks-Gunn et al [1993] with Evans, Oates, and Schwab [1992]).…”

Section: Observational Studiesmentioning

confidence: 99%

Counterfactual Models of Neighborhood Effects: The Effect of Neighborhood Poverty on Dropping Out and Teenage Pregnancy

Harding

2003

American Journal of Sociology

519

353

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This article investigates the causal effects of neighborhood on high school dropping out and teenage pregnancy within a counterfactual framework. It shows that when two groups of children, identical at age 10 on observed factors, experience different neighborhoods during adolescence, those in high-poverty neighborhoods are more likely to drop out of high school and have a teenage pregnancy than those in low-poverty neighborhoods. Causal inferences from such associations have been plagued by the possibility of selection bias. Using a new method for sensitivity analysis, these effects are shown to be robust to selection bias. Unobserved factors would have to be unreasonably strong to account for the associations between neighborhood and the outcomes.

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“…Quillian (2003), for example, finds that blacks are as likely as non-Latino whites to move, but that they are more likely to repeat spells of poverty. Few observational studies have examined what bearing a longitudinal consideration of neighborhood experience would have on estimates of neighborhoods' effects on children's well-being (Johnson and Schoeni, 2003;Ginther et al, 2000;Goering and Feins, 2003). Wolfe et al (1996: p.970) and Aaronson (1998) suggest that there is a "window problem" created by using a static time frame and that cross-sectional measures of a child's environment do not accurately represent long-run experiences.…”

Section: Childhood As a Dynamic Process: The Role Of Residential Mobimentioning

confidence: 99%

Cross-sectional and longitudinal measurements of neighborhood experience and their effects on children

Jackson

Mare

2007

Social Science Research

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Despite the abundance of research on neighborhoods' effects on children, most studies of neighborhood effects are cross-sectional, rendering them unable to depict the dynamic nature of social life, and obscuring important aspects of community processes and outcomes. This study uses residential histories from the Los Angeles Family and Neighborhood Survey and the Child Development Supplement of the Panel Study of Income Dynamics to explore two questions: 1) How much do residential mobility and neighborhood change contribute to the overall socioeconomic variation in children's neighborhoods? 2) Does measuring community factors at more than one point in time matter for the conclusions that we draw from research on "neighborhood effects" on children's behavioral, cognitive and health-related well-being? Residential mobility plays a non-trivial role over the period of childhood in determining children's exposure to neighborhoods of different economic types. However, quantitative estimates of neighborhood effects that allow neighborhood characteristics to vary through residential mobility and neighborhood change do not depict a strikingly different picture from cross-sectional estimates. Children do not experience enough variation in their local surroundings to produce meaningful differences between static and dynamic measurements of neighborhoods. We also uncover interesting regional and race/ethnic differences in neighborhood dynamics and neighborhood effects.

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Neighborhood Attributes as Determinants of Children's Outcomes: How Robust Are the Relationships?

Abstract: Estimates of neighborhood effects on children's outcomes vary widely

Cited by 172 publications

References 24 publications

Is it the family or the neighborhood? Evidence from sibling and neighbor correlations in youth education and health

Is it the family or the neighborhood? Evidence from sibling and neighbor correlations in youth education and health

Counterfactual Models of Neighborhood Effects: The Effect of Neighborhood Poverty on Dropping Out and Teenage Pregnancy

Cross-sectional and longitudinal measurements of neighborhood experience and their effects on children

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