Learn More
welfare and tax policy were changed to encourage work by single mothers. The Earned Income Tax Credit was expanded, welfare beneets were cut, welfare time limits were added, and welfare cases were terminated. Medicaid for the working poor was expanded, as were training programs and child care. During this same time period there were unprecedented increases(More)
We examine trends in self-employment among white and black men from 1910 to 1990 using Census and CPS microdata. Self-employment rates fell over most of the century and then started to rise after 1970. For white men, we find that the decline was due to declining rates within industries, but was counterbalanced somewhat by a shift in employment towards high(More)
Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the view of the National Poverty Center or any sponsoring agency. Abstract Relatively little is known about the impact of welfare reform on children's living arrangements , which was an important focus of reformers. We(More)
Note: The authors are collaborators on a study of inequality in early childhood education and care, funded by the Russell Sage Foundation as part of its Social Inequality program. We would like to thank Eric Wanner and the Foundation for their support and would also like to thank Jay Bainbridge, Se-Ook Jeong, Katherine Magnuson, and Sakiko Tanaka for their(More)
A near real time airborne monitoring system for monitoring of natural disasters, mass events, and large traffic disasters was developed in the last years at the German Aerospace Center (DLR). This system consists of an optical wide-angle camera system (3K system), a SAR sensor, an optical and microwave data downlink, an onboard processing unit and ground(More)
In recent years, approaches based on machine learning have achieved state-of-the-art performance on image restoration problems. Successful approaches include both generative models of natural images as well as discriminative training of deep neural networks. Discriminative training of feed forward architectures allows explicit control over the computational(More)
The goal of subspace learning is to find a k-dimensional subspace of R d , such that the expected squared distance between instance vectors and the sub-space is as small as possible. In this paper we study the sample complexity of subspace learning in a partial information setting, in which the learner can only observe r ď d attributes from each instance(More)
We are immensely grateful to Mike Riley for meticulously and tirelessly spearheading the data analytics, with effort well above and beyond the call of duty. Thanks to The main data we analyze are provided by the New York State Division of Criminal Justice Services (DCJS), and the Office of Court Administration. The opinions, findings, and conclusions(More)