QUANTITATIVE RESEARCH METHODS WORKSHOP
Abstract: We introduce a package for building, updating, and querying non-parametric models from causal graphs. We illustrate the utility of the approach for learning in the absence of identification, for learning about hierarchical causal models, and for case selection for mixed methods research. This talk is based on work coauthored with Alan Jacobs titled “Causal Models: Guide to CausalQueries.”
Macartan Humphreys is director of the research unit Institutions and Political Inequality at the WZB Berlin Social Science Center and a professor of Political Science at Columbia University. His research combines experimental approaches, survey research and formal theory to study the political economy of development, governance, and conflict processes. Ongoing field experiments focus on political accountability in Congo and Uganda. Macartan has published widely in peer-reviewed journals and has authored or coauthored books on ethnic politics, natural resource politics, and game theory. He sits on the editorial board of the American Political Science Review and PSRM. He is a founding member of the Experiments in Governance and Politics network and former President of the APSA Experiments section. He holds a B.A. in history and political science from Trinity College Dublin (1994), an M.Phil. in economics from Oxford (2000), and an A.M. and Ph.D. in government from Harvard University (1998, 2003).
This virtual workshop is open to the Yale community. To receive Zoom information, you must subscribe to the Quantitative Research Methods Workshop at this link: https://csap.yale.edu/quantitative-research-methods-workshop.
The series is sponsored by the ISPS Center for the Study of American Politics and The Whitney and Betty MacMillan Center for International and Area Studies at Yale with support from the Edward J. and Dorothy Clarke Kempf Fund.
This speaker is also being cosponsored with the Leitner Political Economy Seminar.