Does Information Help Recovering Structural Shocks from Past Observations

Working Paper: CEPR ID: DP5725

Authors: Domenico Giannone; Lucrezia Reichlin

Abstract: This paper asks two questions. First, can we detect empirically whether the shocks recovered from the estimates of a structural VAR are truly structural? Second, can the problem of non-fundamentalness be solved by considering additional information? The answer to the first question is 'yes' and that to the second is 'under some conditions'.

Keywords: Identification; Information; Invertibility; Structural VAR

JEL Codes: C32; C33; E00; E32; O3


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Structural VAR estimation (C51)Empirical detection of structural shocks (C22)
Moving average component in structural model (C22)Nonfundamentalness (D52)
Additional information (Y50)Solve nonfundamentalness problem (D59)
Sectoral data inclusion (E01)Detection of nonfundamentalness (C52)
Technology shocks on hours worked (J29)Non-structural identification using aggregate variables (C29)
Sectoral information inclusion (L52)Significant response of hours worked to technology shocks (J29)
Auxiliary variables (C39)Enhanced recovery of structural shocks (C22)

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