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2000115-Strengthening-Communities-with-Neighborhood-Data

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308 <strong>Strengthening</strong> <strong>Communities</strong> <strong>with</strong> <strong>Neighborhood</strong> <strong>Data</strong><br />

Although the challenges of establishing causality in neighborhood<br />

effects research are widely appreciated, the number of practical solutions<br />

to date is limited. One important innovation that has garnered<br />

a lot of attention is the use of housing vouchers allocated by lottery to<br />

induce residential mobility to better neighborhoods. This exogenous<br />

influence, like random assignment in experiments, provides leverage on<br />

the problems of selection and reverse causality. The Moving to Opportunity<br />

experiment was designed <strong>with</strong> these methodological issues in mind<br />

(Goering and Feins 2003). Residents of public housing in five cities were<br />

offered an opportunity to be randomized into (1) a treatment group<br />

that received a housing voucher and counseling to help residents move<br />

to a neighborhood <strong>with</strong> less than 10 percent poverty, (2) a group that<br />

received a housing choice voucher that could be used anywhere (Section<br />

8 control), or (3) a control group that did not receive a voucher.<br />

Numerous studies have been published from follow-up data collected<br />

over many years following randomization to assess the impact of the<br />

treatment (i.e., a voucher to move to a low-poverty neighborhood) on<br />

outcome measures for children and adults in these households. The findings<br />

regarding the impact on outcomes have been mixed. Despite the<br />

treatment group living in higher-quality housing and neighborhoods<br />

<strong>with</strong> lower poverty and crime, no significant differences between treatment<br />

and control groups were found for household employment levels<br />

and income (Sanbonmatsu et al. 2012) or children’s educational success<br />

(Sanbonmatsu et al. 2006). With respect to heath, adults in the treatment<br />

groups compared favorably <strong>with</strong> controls on a number of health<br />

measures (Sanbonmatsu et al. 2012). Health benefits for children were<br />

less uniform, <strong>with</strong> the most consistent positive results being on behavioral<br />

health outcomes for female, but not male, adolescents (Kling, Ludwig,<br />

and Katz 2005). Researchers are continuing to mine the Moving to<br />

Opportunity data to tease out the nuances of the effects and the mechanisms<br />

responsible for them.<br />

Although the randomized mobility experiments have the important<br />

advantage of removing selection bias from impact estimates, they have<br />

several limitations (Sampson 2008). An important limitation for those<br />

interested in improving neighborhoods is that the households eligible for<br />

these experiments had to live in public housing prior to randomization,<br />

but public housing residents represent only a small portion of the population<br />

living in disadvantaged circumstances. In addition, even though<br />

the experimental group moved to lower-poverty neighborhoods, they

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