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One goal of federal housing policy is to improve the prospects of children in poor families. This paper examines the effect of public housing participation on housing quality and educational attainment. Using the SIPP, we show that living in projects is associated with more negative outcomes for children, although this appears to be due to unobserved(More)
Recent theoretical work suggests that means and asset-tested social insurance programs can explain the low savings of lower income households in the United States. We assess the validity of this hypothesis by investigating the effect of Medicaid, the health insurance program for low-income women and children, on savings behavior. We do so using data on(More)
Thomas, two anonymous referees, and coeditor J. Karl Scholz provided helpful comments. Jonathan Gruber deserves special mention for his input. Gloria Chiang and Sheri Zwirlein provided excellent proofreading. The National Institute of Aging and the UCLA Academic Senate graciously provided financial support. IRP publications (discussion papers, special(More)
IRP publications (discussion papers, special reports, and the newsletter Focus) are now available electronically. Abstract This paper assesses the importance of receiving public health insurance through the Medicaid program on participation in Supplemental Security Income (SSI) for the elderly. The implementation of the Qualified Medicare Beneficiary (QMB)(More)
I thank Jonathan Gruber for helpful discussions and assistance in obtaining some of the data used in this study. In addition, The author may be contacted at NBER until August 1997. The data and STATA programs used in this study are available from the author. IRP publications (discussion papers, special reports, and the newsletter Focus) are now available(More)
The number of participants in the SSI program grew by 1.1 million from 1987 to 1993. This paper examines the role of Medicaid on the SSI participation decision. I use the rapid growth in average Medicaid expenditure as a proxy for its value. OLS estimates of Medicaid's effect may be biased because of omitted variables bias and measurement error. I therefore(More)