Santiago is a Lecturer in Econometrics for the Adam Smith Business School at the University of Glasgow. He completed his undergraduate and master's studies at Universidad EAFIT in Colombia before moving to Atlanta to complete his PhD at Emory University. His research work covers theoretical and applied econometrics, with a focus on Bayesian analysis, and attempts to present rigorous solutions to problems that arise in applied microeconomic settings. Currently, he is also interested in the econometric challenges inherent to network data. Along his research interests, Santiago has taught several courses in Econometrics and Bayesian methods at an undergraduate and graduate level.

Santiago is a member of the Applied Economics research cluster. 

Areas of expertise:

• Theoretical econometrics
• Bayesian econometrics
• Applied microeconomics
• Econometrics of networks

List by: Type | Date

• Fan, Junwei
  Friends as Negatives: Network Formation with Personality Traits
• Trinh, Duong
  Three Essays in Bayesian Microeconometrics: Embracing Heterogeneity.

• ECON5120 – Bayesian Data Analysis
• ECON5004P/ECON5102P – Economics PGT Research Methods and Dissertation Training

Personal website: Santiago Montoya-Blandón