“…Studies using instrumental variable estimation, a procedure used to produce neighborhood effects estimates that are purged of any spurious correlation with unknown characteristics, have found that ordinary least squares estimates in comparison are not artificially inflated (Duncan, Connell, & Klebanov, 1997;Foster & McLanahan, 1996). Recent studies have used counterfactual modeling to account for families' selection into neighborhoods; they find that selection effects would have to be unusually strong in order to suggest a biased neighborhood estimate (Harding, 2003) and that having previously lived in a poor neighborhood accounts for as much as a year's difference in schooling in children's verbal ability (Sampson, Sharkey, & Raudenbush, 2008). Hence, the results of this review could suggest that neighborhoods are even more powerful than initially thought in that improvements in the OTLs of youths cannot undo the educational consequences of their previous residency in less advantaged neighborhoods.…”