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Using <strong>Data</strong> for <strong>Neighborhood</strong> Improvement 179<br />

10. Research on neighborhood effects of foreclosures is summarized in Immergluck<br />

and Smith (2006) and Kingsley, Smith, and Price (2009).<br />

11. Aspects of the NEO CANDO system and some of its applications have also been<br />

documented in Sand and Bush (2011) and Pettit and Kingsley (2011). <strong>Data</strong> from the<br />

system have also been used to support a number of citywide applications, as discussed<br />

further in Nelson’s essay at the end of this chapter.<br />

12. NCP’s full-scale operation ran for 10 years (2003–2012). The program received<br />

$47 million in grants from the MacArthur Foundation and, LISC reports, an equal<br />

amount from other major foundations, which in turn leveraged $540 million more in<br />

neighborhood investments (LISC Chicago 2011). BSC was launched in 2007, and according<br />

to the Bridgespan Group (2012), LISC was investing at an annual rate of $107 million<br />

across all BSC neighborhoods in 2011.<br />

13. MDRC is continuing its evaluation of NCP. A recent report in its series<br />

covers broader “policy change and systems change” activity in the program (Chaskin<br />

and Karlström 2012).<br />

14. The sources include the US Decennial Census, the American Community Survey,<br />

the Home Mortgage Disclosure Act, Local Employment Dynamics, IRS tax statistics,<br />

US Postal Service vacant addresses, and National Center for Education Statistics datasets.<br />

These sources are all available to the public and are described in chapter 3. LISC also<br />

relies on proprietary data on mortgage status from LPS Analytics for these reports.<br />

15. Clearly, the comparison neighborhood approach does not meet the same standards<br />

for evaluation as would a random control trial (see discussion of evaluation in<br />

chapter 7), but as that alternative is not available here it would seem that determining<br />

where the performance of a BSC neighborhood is notably above or below that of its<br />

comparison neighborhoods should be a valuable indicator for initiative managers.<br />

16. In an interview, Vasquez indicated that LISC plans to revisit what administrative<br />

data (such as school mobility) or other local data (such as connecting individuals to<br />

community institutions) could be tracked across plans to anchor a shared performance<br />

management system.<br />

17. The foundation has written an overall review of the Making Connections experience<br />

that explains program operations and other features in greater detail (Annie E.<br />

Casey Foundation 2013).<br />

18. The survey design team was composed of staff from NORC at the University<br />

of Chicago and the Urban Institute. NORC was responsible for survey administration.<br />

Feister (2011, 13–16) reviews issues faced in survey design and how they were addressed.<br />

The final in-person household survey instrument contained 180 questions and took<br />

45 minutes to complete. The overall response rate was 75 percent.<br />

19. Three of the 10 cities (Hartford, Milwaukee, and Oakland) did not have wave 3<br />

surveys.<br />

20. The central survey team included researchers from the Urban Institute, Case<br />

Western Reserve University, and NORC, as well as the Annie E. Casey Foundation. The<br />

website (http://mcstudy.norc.org) lists and provides access to these products, explains<br />

and documents the survey in greater detail, and explains how researchers can access the<br />

data.<br />

21. The authors found, for example, that both asset and debt amounts increased<br />

between 2005–06 and 2008–09, but asset and debt levels remained lower for vulnerable

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