The Secondary Data in Aging Interest Group is an interdisciplinary learning collaborative. Focusing on research using secondary data, this group discusses theoretical and methodological issues and research of policy and programs relevant for a person’s life course and aging.
This is an opportunity for participants to: learn about common data sources for secondary research in aging, hear about issues and methods of interest for researchers in St. Louis, share concepts and in-progress research to receive feedback, and identify opportunities for collaboration.
All experience levels, department and university/organization affiliations are invited. This event will take place via Zoom.
Causal Inference in Social Policy Research as a Field of Social Science – Focusing on Regression Discontinuity Design (RDD)
Yung Chun, PhD
Senior Analyst, Social Policy Institute at Washington University in St. Louis
Event Sponsors: Harvey A. Friedman Center for Aging at Institute for Public Health