Remote Australian schools face complex contextual issues due to systemic and enduring disadvantage. The structures systems put in place support provide advantage for Indigenous Australians continually fail meet their mark colonial structures, policies inability understand remote demands. In South Australia, the context of this paper, disadvantage disproportionately affects people. This article ...

In recent years, multidimensional conceptualizations of social origin have become increasingsly common in stratification research. We provide evidence on the associations between four measures, parents’ class, status, earnings and education one hand corresponding offspring measures other. also extend previous research differences effects at different levels children’s educational attainment com...

Theory suggests that the effects of disadvantaged neighborhoods on child educational outcomes may depend on a family’s economic resources as well as the timing of neighborhood exposures during the course of child development. However, most previous research assumes that disadvantaged neighborhoods have the same effects on all children regardless of their family resources, and few prior studies ...

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 measures neighborhood context only once and does not account for length of residence, thereby understating the detrimental effects of long-term neighborhood disadvantage. This study investigates effects of duration of exposure t...

The Affordable Care Act enacts a new payment system for private health plans available to Medicare beneficiaries through the Medicare Advantage (MA) program. The system, which is being phased in through 2017, aims to (1) reduce the excess pay­ments received by private plans relative to per capita spending in traditional Medicare, and (2) reward plans that earn high performance ratings. Using 20...

A critical disadvantage of primal-dual interior-point methods compared to dual interior-point methods for large scale semidefinite programs (SDPs) has been that the primal positive semidefinite matrix variable becomes fully dense in general even when all data matrices are sparse. Based on some fundamental results about positive semidefinite matrix completion, this article proposes a general met...