• Graduate program
    • Why Tinbergen Institute?
    • Program Structure
    • Courses
    • Course Registration
    • Facilities
    • Admissions
    • Recent PhD Placements
  • Research
  • News
  • Events
    • Summer School
      • Behavioral Macro and Complexity
      • Econometrics and Data Science Methods for Business and Economics and Finance
      • Inequalities in Health and Healthcare
      • Introduction in Genome-Wide Data Analysis
      • Research on Productivity, Trade, and Growth
      • Summer School Business Data Science Program
    • Events Calendar
    • Tinbergen Institute Lectures
    • Annual Tinbergen Institute Conference
    • Events Archive
  • Summer School
  • Alumni
  • Times
Home | People | Sean Telg

Sean Telg

Candidate Fellow

Vrije Universiteit Amsterdam
Research field
Econometric Methodology, Financial Econometrics, Macroeconometrics, Risk Management, Time Series Econometrics


I am an assistant professor at the Department of Econometrics and Data Science at the Vrije Universiteit (VU) Amsterdam. My research interests lie in the field of time series econometrics. In particular, I focus on dynamic models which are non-Gaussian, noncausal and/or non-invertible and demonstrate their ability to model macroeconomic and financial data containing speculative bubbles or asymmetric cycles.

List of publications

Hecq, A., Issler, J.V. and Telg, S. (2020). Mixed causal–noncausal autoregressions with exogenous regressors Journal of Applied Econometrics, 35(3):328--343.

Cubadda, G., Hecq, A. and Telg, S. (2019). Detecting Co-Movements in Non-Causal Time Series Oxford Bulletin of Economics and Statistics, 81(3):697--715.