This study examines how changes in the social and economic structure of neighborhoods relate to changes in child maltreatment report rates over an extended period. The panel study design allows us to partition the changes in child maltreatment report rates into a portion associated with how the levels of socio-economic risk factors have changed over time, and a portion related to how the relative importance of those factors in explaining maltreatment report rates has changed over time. Through the application of fixed effects panel models, the analysis is also able to control for unmeasured time-invariant characteristics of neighborhoods that may be a source of bias in cross-sectional studies. The study finds that increases in vacant housing, single parent families and unemployment rates are strongly associated with increases in child maltreatment report rates. Changes in racial/ethnic composition did not produce changes in maltreatment report rates except when they reached extreme levels of segregation. Although poverty rates were predictive of cross-sectional variation in child maltreatment, increases in neighborhood poverty became less associated with increases in child maltreatment report rates over time.

This paper estimates neighborhood effects on adult labor market outcomes using the Moving to Opportunity (MTO) housing mobility experiment. We propose and implement a new strategy for identifying transition-specific effects that exploits identification of the unobserved component of a neighborhood choice model. Estimated Local Average Treatment Effects (LATEs) are large, result from moves between the first and second deciles of the national distribution of neighborhood quality, and pertain to a subpopulation of nine percent of program participants.

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