The Forgotten Middle: Many Middle-Income Seniors Will Have Insufficient Resources For Housing And Health Care.

As people age and require more assistance with daily living and health needs, a range of housing and care options is available. Over the past four decades the market for seniors housing and care-including assisted living and independent living communities-has greatly expanded to accommodate people with more complex needs. These settings provide housing in a community environment that often includes personal care assistance services. Unfortunately, these settings are often out of the financial reach of many of this country's eight million middle-income seniors (those ages seventy-five and older). The private seniors housing industry has generally focused on higher-income people instead. We project that by 2029 there will be 14.4 million middle-income seniors, 60 percent of whom will have mobility limitations and 20 percent of whom will have high health care and functional needs. While many of these seniors will likely need the level of care provided in seniors housing, we project that 54 percent of seniors will not have sufficient financial resources to pay for it. This gap suggests a role for public policy and the private sector in meeting future long-term care and housing needs for middle-income seniors.

Constructing a toolkit to evaluate quality of state and local administrative data.

In the United States, state and local agencies administering government assistance programs have in their administrative data a powerful resource for policy analysis to inform evaluation and guide improvement of their programs. Understanding different aspects of their administrative data quality is critical for agencies to conduct such analyses and to improve their data for future use. However, state and local agencies often lack the resources and training for staff to conduct rigorous evaluations of data quality. We describe our efforts in developing tools that can be used to assess data quality as well as the challenges encountered in constructing these tools. The toolkit focuses on critical dimensions of quality for analyzing an administrative dataset, including checks on data accuracy, the completeness of the records, and the comparability of the data over time and among subgroups of interest. State and local administrative databases often include a longitudinal component which our toolkit also aims to exploit to help evaluate data quality. In addition, we incorporate data visualization to draw attention to sets of records or variables that contain outliers or for which quality may be a concern. While we seek to develop general tools for common data quality analyses, most administrative datasets have particularities that can benefit from a customized analysis building on our toolkit.