Luke Shaefer's research focuses on the effectiveness of the United States’ social safety net in serving low-wage workers and economically disadvantaged families.
His recent work explores rising levels of extreme poverty in the United States, the impact of the Supplemental Nutrition Assistance Program on material hardships, barriers to unemployment insurance faced by vulnerable workers, and strategies for increasing access to oral health care in the United States.
H. Luke Shaefer, Ph.D. is the director of Poverty Solutions at the University of Michigan, an interdisciplinary, university-level initiative that seeks to inform, identify, and test innovative strategies to prevent and alleviate poverty.
Social safety net, low-wage workers, economically disadvantage families, non-profit management
|(734) 936-5065||(734) firstname.lastname@example.org||2792 SSWB||University of Michigan|
School of Social Work
1080 S. University
Ann Arbor, MI 48109
|2008||PhD||Social Service Administration||University of Chicago, Illinois|
|2005||MA||Social Service Administration||University of Chicago, Illinois|
|2001||BA||Politics||Oberlin College, Oberlin, OH|
|NCRN-MN: Linking Surveys to the World: Administrative Data, the Web, and Beyond. Michigan Node of the NSF-Census Research Network||Shapiro, Matthew (PI)
H. Luke Shaefer (Co-I)
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NCRN-MN: Linking Surveys to the World: Administrative Data, the Web, and Beyond. Michigan Node of the NSF-Census Research Network
September 2011 - September 2017
The Federal statistical agencies have pressing needs to innovate in light of the rapidly changing structure of the economy and the interaction of these changes with the fundamental ways in which households and businesses produce and use information. We propose to create a “research node” at the University of Michigan that will lever our distinctive strengths in social science, survey research, and information science to address the scientific and practical problems that the statistical system confronts. This project will advance the science of measurement and serve to renew the statistical system both by bringing frontier methodology to measurement problems faced by the statistical agencies and by cultivating a new generation of scholars who will collaboratively address these issues. The broad theme of this proposal, integrating its four research projects, is the use of administrative data, and more generally, data generated by households and businesses in the course of their normal activities, to produce economic and demographic measurements that are now generated from surveys. Each project includes formal training of graduate and post-doctoral scholars in the methodological and substantive issues addressed in the research. 1. Frontiers of measurement: Linking survey and administrative data: The aim of this project is to understand how measurement is affected by pooling across multiple linkages of administrative records and surveys, and using administrative records for advancing survey measurement. 2. Frontiers of measurement: Mining the Web for economic measurement: This project will use computational techniques to demonstrate and implement real-time, web-based measurements of employment and business creation that can supplement, inform, and perhaps eventually replace survey-based measures. 3. SIPP Center: Mining the Gold Standard: This project will undertake research using the public use, synthetic, and “Gold Standard” (restricted use) versions of the SIPP to study issues of program take up and household wellbeing in changing economy. 4. Linking geospatial and administrative data: Improving small area estimates: This project will develop techniques to use geospatial administrative data to improve estimates of population and migration for small geographic areas and small demographic groups.