Stephanie Muravchik, Senior Lecturer of Government and Associate Faculty Director of the Kravis Lab for Civic Leadership, published The Republican Civil War: What Liz Cheney’s Wyoming Tells Us About a Divided American Right (Oxford University Press, 2026), co-authored with CMC Professor of Government Jon Shields.
James Kreines, the Edward S.
Manfred Keil, Associate Professor of Economics and the Associate Director of the Lowe Institute of Political Economy, was appointed to the Council of Economic Advisors for the California State Controller’s Office. In this role, Keil will help advise State Controller Malia Cohen on economic policy issues, such as the proposed California Wealth Tax on billionaires, and work with fellow councilmembers to formulate responses on a variety of economic issues facing the state.
Gaston Espinosa, the Arthur V.
Yong Kim, the Henry Crown Visiting Associate Professor in the Robert Day School of Economics and Finance, was awarded a Faculty Fellowship from the John Randolph Haynes and Dora Haynes Foundation to execute his proposal, “Analyzing Divergent Impacts of Los Angeles Housing Policy on Rents vs. House Prices.” Kim’s research will analyze how Los Angeles housing policies, like rent control and upzoning, create divergent price impacts on rent versus house prices.
Michael Fortner, the Pamela B. Gann Associate Professor of Government and George R.
Jennifer Feitosa, Associate Professor of Psychological Science and Director of the METRICS Lab at CMC, participated in a roundtable discussion on “Navigating Academic Careers Across Borders,” at the 2025 Association for Psychological Science (APS) Global Psychological Science Summit,” with a summation of the discussion published in a 2026 APS article.
Angela Vossmeyer, the Rothacker Family Associate Professor of Economics and George R. Roberts Fellow, published “Likelihood specification in simultaneous equation models for discrete data” with co-author Ivan Jeliazkov in the Journal of Econometrics. In the publication, Vossmeyer and Jeliakov derive the likelihood function of simultaneous equation models for discrete data as the invariant distribution of a suitably specified Markov process.