Urban Institute researchers monitor and assess housing market trends, affordable housing, homelessness, federal housing assistance, racial disparities and housing discrimination, and community revitalization. We recommended greater regulation and reforms for subprime mortgages before the housing market collapse and continue to follow its effects on families and neighborhoods. Our research informs decisionmakers with neighborhood-level data and evaluations of federal housing programs. Read more.
Student loans, mortgage guarantees, and other lending programs create special challenges for federal budgeting. Under official budget rules, these programs are projected to bring in $200 billion over the next decade. Under an alternative, favored by many analysts, they appear to lose $100 billion. That $300 billion disparity confuses policy deliberations. In this report, Donald Marron proposes a new budgeting approach, known as expected returns, that would eliminate this confusion. The report critically reviews today’s budgeting approaches, identifies their flaws, and demonstrates how expected returns would improve budgeting for federal lending.
Policy analysts have long debated how best to budget for student loans, mortgage guarantees, and other federal lending programs. Under official budget rules, these programs appear highly profitable; under an alternative, favored by many analysts, they appear to lose money. That discrepancy confuses policy deliberations. In this brief, Donald Marron proposes a new budgeting approach, known as expected returns, that would eliminate this confusion. Unlike existing approaches, expected returns accurately reports the fiscal effects of lending over time and provides a natural way to distinguish the fiscal gains from bearing financial risk from the subsidies given to borrowers.
To assess whether federal housing assistance can encourage asset building and self-sufficiency, we need to know why families leave housing assistance and how they fare on their own. As a group, housing assistance leavers appear to be doing better than those still in public housing or receiving rent subsidies; they have higher incomes, are more likely to be married, and live in lower-poverty, safer communities. Dividing the unassisted highlights how those leaving assistance for negative reasons are worse off and how those leaving for positive reasons are struggling. Such findings suggest the need for targeted approaches to support both groups.
The September edition of At A Glance, HFPC’s reference guide for mortgage and housing market data, includes updated indicators related to non-agency securitization, regional affordability and access to credit, and the latest GSE risk-sharing deals.
States and non-profit organizations have used three approaches to successfully integrate enrollment and retention of health and human services programs:
1. Streamlining one program's eligibility determination based on data from other programs. This approach has helped uninsured children receive and retain health coverage, helped low-income seniors obtain SNAP, and produced state administrative savings.
2. Coordinated administration of multiple programs. Administrative savings resulted when multiple programs integrated their systems for case records, data matching, eligibility rules engines, on-line applications, and benefit payment.
3. Coordinating enrollment. Community colleges exemplify sites for enrolling consumers into multiple health and human services at once.