Cameron A. Shelton serves as McMahon Family Associate Professor of Political Economy at Claremont McKenna College's Robert Day School of Economics and Finance. He maintains active international affiliations as Visiting Scholar at Toulouse School of Economics and Fellow of the CESifo Research Network, having recently completed a research visit at CESifo during July 2022. His educational foundation includes a PhD from Stanford Graduate School of Business and undergraduate degrees (BS and AB) from Stanford University, providing strong quantitative and theoretical grounding for his research. Professor Shelton's work centers on causal analysis of political communication, employing media market boundary discontinuities to demonstrate that television political ads primarily consolidate existing partisan views while generating counterproductive backlash—resulting in net polarization rather than voter conversion. His research bridges political economy and behavioral economics, challenging canonical models of rational information processing through empirical evidence of non-Bayesian preference updating. Analysis of his publications reveals consistent focus on methodological innovation in causal inference applied to political behavior, with recent expansion into digital campaign effects. His 2022 working paper on TV ad backlash establishes the conceptual framework now being extended to social media platforms in ongoing research. His academic recognition includes: McMahon Family Associate Professorship CESifo Research Network Fellowship Professor Shelton's research agenda demonstrates strong external engagement through international collaborations and policy-relevant findings on democratic processes. His dual role as academic researcher and co-founder of 'Suited'—an AI-driven firm for equitable candidate sourcing—highlights practical applications of his methodological expertise in information processing and targeting. His laboratory-equivalent activities center on collaborative research groups analyzing political advertising datasets, though no formal lab structure is specified in available materials.


