Shu Wang

Research Interests

    My research currently focuses on causal inference and identification in structural vector autoregressive (SVAR) models from both the frequentist and bayesian perspectives. I am also interested in other topics in time series analysis, such as integrations and co-integrations, stochastic volatilities et cetera.

Working Papers

  • Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles (with H. Herwartz)
  • Transmission of shocks in a unified monetary and financial framework: Homogeneity, asymmetry and structural change in the Euro area (with H. Herwartz)

Publications

  • Herwartz, H., H. Rohloff, and S. Wang (2022): Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US, Journal of Economic Dynamics and Control, 139, 104457. Link

Work in Progress

  • Robust methods for blind source separation
  • Monetary policy transmission in economies with heterogeneous households
  • Time-varying Taylor rule

Teaching

  • WiSe 2020/21: Applied Econometrics (Master)
  • SoSe 2021/2022: Introduction to Time Series Analysis (Master)