RDRC — Fellows
2021-22 Training Fellows in Disability Policy Research
- Kuan-Ming Chen (PhD University of Chicago) is interested in a wide variety of topics in labor and health economics. He studies field experiments or reforms that serve as quasi-experiments, and then combines these estimates with microdata to build empirical models to study policy-relevant questions. His current research focuses on long-term care and its implications for families.
- Maxwell Kellogg (PhD University of Chicago) studies how links between employment, health insurance coverage, and the household affect who uses and benefits from public disability insurance programs. Max will be joining the economics faculty at the University of Oslo after completing his fellowship.
- Jonathan Cohen, MIT (Economics) studies unemployment insurance, including a historical German firm-side policy intended to decrease the usage of unemployment insurance as a bridge to retirement.
- Ari Ne’eman, Harvard University (Health Policy and Political Analysis), uses administrative data to study the impact of the Department of Justice’s Olmstead litigation on employment and earnings outcomes for people with intellectual and developmental disabilities.
- Martina Uccioli, MIT (Economics) studies how employment protection legislation affects workers' and firms' behavior.
2020-21 Training Fellows in Disability Policy Research
- Adrienne Sabety, PhD, Harvard University, 2020
- Mingli Zhong, PhD, University of Pennsylvania, 2020
- Jonathan Leganza, University of California, San Diego, Economics
- Ellen Stuart, University of Michigan, Economics
- Martina Uccioli, Massachusetts Institute of Technology, Economics
The research reported herein was performed pursuant to grant #RDR18000003 from the US Social Security Administration (SSA) funded as part of the Retirement and Disability Research Consortium. The opinions and conclusions expressed are solely those of the authors and do not represent the opinions or policy of NBER, SSA or any agency of the Federal Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of the contents of this report. Reference herein to any specific commercial product, process or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply endorsement, recommendation or favoring by the United States Government or any agency thereof.