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Neighborhood Effects in Temporal Perspective: The Impact of Long-Term Exposure to Concentrated Disadvantage on High School Graduation

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TLDR
It is found that sustained exposure to disadvantaged neighborhoods has a severe impact on high school graduation that is considerably larger than effects reported in prior research.
Abstract
Theory suggests that neighborhood effects depend not only on where individuals live today, but also on where they lived in the past. Previous research, however, usually measured neighborhood context only once and did not account for length of residence, thereby understating the detrimental effects of long-term neighborhood disadvantage. This study investigates the effects of duration of exposure to disadvantaged neighborhoods on high school graduation. It follows 4,154 children in the PSID, measuring neighborhood context once per year from age 1 to 17. The analysis overcomes the problem of dynamic neighborhood selection by adapting novel methods of causal inference for time-varying treatments. In contrast to previous analyses, these methods do not "control away" the effect of neighborhood context operating indirectly through time-varying characteristics of the family, and thus they capture the full impact of a lifetime of neighborhood disadvantage. We find that sustained exposure to disadvantaged neighborhoods has a severe impact on high school graduation that is considerably larger than effects reported in prior research. Growing up in the most (compared to the least) disadvantaged quintile of neighborhoods is estimated to reduce the probability of graduation from 96% to 76% for black children, and from 95% to 87% for nonblack children.

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Journal ArticleDOI

The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment

TL;DR: It is found that moving to a lower-poverty neighborhood when young (before age 13) increases college attendance and earnings and reduces single parenthood rates, and moving as an adolescent has slightly negative impacts.
BookDOI

The growth of incarceration in the United States: exploring causes and consequences

TL;DR: Part of the courts, criminal law, criminal procedure, criminology, Law and Society Commons, Law Enforcement and Corrections Commons, Legislation Commons, Politics and Social Change Commons, and the Race and Ethnicity Commons.
Journal ArticleDOI

Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable

TL;DR: This article uses causal graphs (direct acyclic graphs, or DAGs) to highlight that endogenous selection bias stems from conditioning on a so-called collider variable, i.e., a variable that is itself caused by two other variables, one that is (or is associated with) the treatment and another that is not associated with the outcome.
Journal ArticleDOI

Where, When, Why, and For Whom Do Residential Contexts Matter? Moving Away from the Dichotomous Understanding of Neighborhood Effects

TL;DR: In this article, the authors focus on empirical work that considers how different dimensions of individuals' residential contexts become salient in their lives, how contexts influence individuals' lives over different timeframes, how individuals are affected by social processes operating at different scales, and how residential contexts influence the lives of individuals in heterogeneous ways.
Posted Content

The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects

TL;DR: The authors show that the neighborhoods in which children grow up shape their earnings, college attendance rates, and fertility and marriage patterns by studying more than seven million families who move across commuting zones and counties in the U.S. They distinguish the causal effects of neighborhoods from confounding factors by comparing the outcomes of siblings within families, studying moves triggered by displacement shocks, and exploiting sharp variation in predicted place effects across birth cohorts, genders, and quantiles.
References
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Book

Statistical Analysis with Missing Data

TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
Book

Multiple imputation for nonresponse in surveys

TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
MonographDOI

Causality: models, reasoning, and inference

TL;DR: The art and science of cause and effect have been studied in the social sciences for a long time as mentioned in this paper, see, e.g., the theory of inferred causation, causal diagrams and the identification of causal effects.
Journal ArticleDOI

Estimating causal effects of treatments in randomized and nonrandomized studies.

TL;DR: A discussion of matching, randomization, random sampling, and other methods of controlling extraneous variation is presented in this paper, where the objective is to specify the benefits of randomization in estimating causal effects of treatments.
Journal ArticleDOI

The truly disadvantaged : the inner city, the underclass, and public policy

TL;DR: Wilson's "The Truly Disadvantaged" as mentioned in this paper was one of the sixteen best books of 1987 and won the 1988 C. Wright Mills Award of the Society for the Study of Social Problems.
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