The following HTML text is provided to enhance online
readability. Many aspects of typography translate only awkwardly to HTML.
Please use the page image
as the authoritative form to ensure accuracy.
Studies of Welfare Populations: Data Collection and Research Issues
a review of how 14 ASPE-funded state welfare leaver studies have dealt with these issues and whether general lessons can be learned. The authors conclude that while success in dealing with access and confidentiality problems has been achieved in many cases, the methods for doing so are ad hoc, based on longstanding relationships of trust between state agencies and outside researchers, and not buttressed and supported by an adequate legal framework. Twelve key principles are laid out for governing data access and confidentiality. Finally, the authors recommend more use of masking methods as well as institutional mechanisms such as secure data centers to facilitate responsible researcher access to and use of confidential administrative data.
Hotz and Scholz review the measurement of employment and income from administrative data and discuss why and whether measures taken from administrative data differ from those obtained from survey data. Employment and income are, of course, two of the key outcome variables for welfare reform evaluation and hence assume special importance in data collection. They find that there often are differences in administrative and survey data reports of employment and income and that the differences are traceable to differences in population coverage, in reporting units, in sources of income, in measurement error, and in incentives built into the data-gathering mechanism. The authors provide a detailed review of the quality of employment and income data from, first, the major national survey data sets; then from state-level administrative data taken from Unemployment Insurance records; and, finally, from Internal Revenue Service records. They review what is known about differences in reports across the three as well. The authors conclude with several recommendations on reconciling potentially different results from these data sources.
Administrative data on children are discussed in the paper by Barth, Locklin-Brown, Cuccaro-Alamin, and Needell. The authors first discuss the policy issues surrounding the effects of welfare reform on children and what the mechanisms for those effects might be. They identify several domains of child well-being that conceivably can be measured with administrative data, including health, safety (child abuse and neglect), education, and juvenile justice. In each area, they find that a number of different administrative data sets could be matched, in principle, with welfare records. They identify the exact variables measured in each data set as well. The authors find that good health measures often are present in various data sets, but they are often inaccessible to researchers, while child abuse and neglect data are more often available but have many data quality issues that require careful attention. Education and juvenile justice data are the least accessible to researchers and also contain variables that would only indirectly measure the true outcomes of interest. The authors find that privacy and confidentiality barriers impose significant limitations on access to administrative data on children, similar to the finding in the paper by Brady et al.