Inference in Structural Vector Autoregressions identified with an external instrument

José L. Montiel Olea, James H. Stock, Mark W. Watson

Research output: Contribution to journalArticle

Abstract

This paper studies Structural Vector Autoregressions in which a structural shock of interest (e.g., an oil supply shock) is identified using an external instrument. The external instrument is taken to be correlated with the target shock (the instrument is relevant) and to be uncorrelated with other shocks of the model (the instrument is exogenous). The potential weak correlation between the external instrument and the target structural shock compromises the large-sample validity of standard inference. We suggest a confidence set for impulse response coefficients that is not affected by the instrument strength (i.e., is weak-instrument robust) and asymptotically coincides with the standard confidence set when the instrument is strong.

Original languageEnglish (US)
JournalJournal of Econometrics
DOIs
StateAccepted/In press - 2020

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

Keywords

  • Impulse response functions
  • Instrumental variables
  • Narrative approach
  • Weak identification

Fingerprint Dive into the research topics of 'Inference in Structural Vector Autoregressions identified with an external instrument'. Together they form a unique fingerprint.

  • Cite this