Are Spectral Estimators Useful for Implementing Long-Run Restrictions in SVARs?

Arbeitspapier

No, not really. Responding to lingering concerns about the reliability of SVARs, Christiano et al (NBER Macro Annual, 2006, "CEV") propose to combine OLS estimates of a VAR with a spectral estimate of long-run variance. In principle, this could help alleviate specification problems of SVARs in identifying long-run shocks. But in practice, spectral estimators suffer from small sample biases similar to those from VARs. Moreover, the spectral estimates contain information about serial correlation in VAR residuals and the VAR dynamics must be adjusted accordingly. Otherwise, a naive application of the CEV procedure would misrepresent the data's variance.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Working Paper ; No. 08.01

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; General Aggregative Models: Forecasting and Simulation: Models and Applications
• Subject: Structural VAR ; Long-Run Identification ; Non-parametric Estimation ; Factorization of Spectral Density ; VAR-Modell ; Nichtparametrisches Verfahren ; Zeitreihenanalyse ; Simulation ; Theorie

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Mertens, Elmar
• Event: Veröffentlichung
• (who): Swiss National Bank, Study Center Gerzensee
• (where): Gerzensee
• (when): 2008

Further information

• Handle: http://hdl.handle.net/10419/128052
• Last update: 10.03.2025, 11:42 AM CET