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The twelfth century rabbinic scholar Maimonides proposed a maximum class size of 40. This same maximum induces a nonlinear and nonmonotonic relationship between grade enrollment and class size in Israeli public schools today. Maimonides' rule of 40 is used here to construct instrumental variables estimates of effects of class size on test scores. The(More)
Any opinions expressed here are those of the author(s) and not those of the institute. Research disseminated by IZA may include views on policy, but the institute itself takes no institutional policy positions. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between(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)
Objectives. This study examines whether the mental health consequences associated with food insufficiency vary by food stamp participation status and/or the value of the food stamp benefit received. Methods. We use longitudinal data from the Panel Study of Income Dynamics along with fixed-effect methods that control for unobserved heterogeneity to test our(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)