2022 SPRING COURSES

WEEK 1
March 28-April 1, 2022 (Online)
Asset Price Reactions to News: High Frequency Methods and Applications

Refet S. Gürkaynak (Bilkent University and CEPR)

Topics covered

  • Shocks in VARs and surprises in event studies. Examples and identification.
  • Measuring market perceptions of monetary policy, forward guidance, QE surprises. Effects on asset prices, cross country spillovers.
  • OLS vs. Heteroskedasticity-based identification. Application to inference using yield curve changes. Market-based real rate and inflation expectations.
  • Unobserved news and yield curve movements.
  • Proxy VARS and central bank information effects.

 

WEEK 2
April 4-7, 2022 (Online)
New developments in applied time series analysis

Fabio Canova (Norwegian Business School)

Topics covered

  • New identification procedures for SVARs: heteroskedasticity based; sign and narrative; higher moments.
  • Local projections: facts and problems.
  • Method for network analyses.
  • Compression and shrinkage methods for large data
  • Hitchhiker guide to empirical macro.

Application deadline: March 21, 2022 for the 2022 Spring courses

 

2022 SUMMER COURSES 

WEEK 3
July 25-29, 2022 (Hybrid)
The Economy as a Complex Production Network: Supply chain disruptions and economic dynamics

Vasco Carvalho (University of Cambridge)

Topics covered

  • Introduction to Production Networks: Lingo and a Baseline G.E. Framework. Application: Introduction to network data manipulation and visualization, IO Tables as a Network; Comovement Across Sectors.
  • Aggregation in Linear and Nonlinear Economies. Application: COVID-19 Impact
  • Networked Propagation: Micro Evidence. Application: Aggregate Consequences of Natural Disasters as Supply Chain Disruptions
  • Multi-Sector DSGE Models OR Policy as Network Targeting. Application: Selection from applied use cases in the literature (trade, spatial, financial frictions, misallocation, industrial policy)

 

WEEK 4
August 1-5, 2022 (Hybrid
Frontiers of Heterogeneous Agent Research in Open and Closed Economies: Facts, Methods and Policy Implications

Kurt Mitman (Stockholm University and IIES)

Topics covered

 

  • Aggregate and cross-sectional facts on heterogeneity.
  • Workhorse theory of inequality: Bewley-Imrohoroglu-Huggett-Aiyagari Model.
  • Frontier solution methods for models with heterogeneity.
  • Implications of heterogeneity for monetary and fiscal policy in open and closed economies.
  • Directions for future research: Can heterogeneity help solve unresolved puzzles in open economy macro?