Testing for Sufficient Information in Structural VARs

  • Authors: Luca Gambetti.
  • BSE Working Paper: 110027 | September 15
  • Keywords: information , technology shocks , non-fundamentalness , Structural VAR , FAVAR models
  • JEL codes: C32, E32, E62
  • information
  • technology shocks
  • non-fundamentalness
  • Structural VAR
  • FAVAR models
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Abstract

We derive necessary and sufficient conditions under which a set of variables is informationally sufficient, i.e. it contains enough information to estimate the structural shocks with a VAR model. Based on such conditions, we suggest a procedure to test for informational sufficiency. Moreover, we show how to amend the VAR if informational sufficiency is rejected. We apply our procedure to a VAR including TFP, unemployment and per-capita hours worked. We find that the three variables are not informationally sufficient. When adding missing information, the effects of technology shocks change dramatically.

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