Economics
This field develops and applies advanced econometric methods to study production, policy, decision-making, and complex economic systems. Research spans structural modeling, causal inference, Bayesian methods, and semiparametric approaches, providing rigorous tools for analyzing real-world economic challenges.
Members
- Satheesh Aradhyula - Production Economics, Econometrics, Agricultural Policy
- Gautam Gowrisankaran - Structural econometric modeling; Applied Bayesian econometrics; Estimation of dynamic models.
- Hidehiko Ichimura, - influence function of estimators for a finite dimensional parameters in semiparametric models; linking structural life-cycle models to the national transfer accounts via an over-lapping generations model.
- Derek M. Lemoine - Decision theory; Bayesian methods; Model epistemology; Complex systems; Real options.
- Gary Thompson - Agricultural and Resource Economics
- James L. Powell - limited dependent variables, endogenous regressors and panel data.
- Tiemen Woutersen - Econometrics; Causal inference; Duration models; Inferences for partially identified parameters.
Social Science
This group applies rigorous statistical and measurement techniques to study human behavior, decision-making, and social systems. Their work spans fields including law, education, and communication.
Members
- Katherine Barnes - Bayesian statistics; Causation and selection models; Empirical methods in law; Discrimination; Expert witnesses
- Jake Harwood - Hypothesis testing; Moderator and mediator effects.
- Nicole Kersting - Measurement and educational assessment; Item response and generalizability theory; Value-added models; Random effects models.
- Ronald L. Breiger - Statistical models for social network analysis; Log-linear models; Log-multiplicative models for contingency tables.
- Chris Segrin - Meta-analysis; Longitudinal data analysis; Regression analysis; Dyadic data analysis.
- Yotam Shmargad - Impacts of social media on information and market spread in user networks.