Robust proxy-SVAR identification with invalid instruments under weak volatility shifts
Develop a comprehensive and robust identification and estimation framework for proxy-identified structural VARs (proxy-SVARs) that fully integrates potentially invalid external instruments in settings where the change in unconditional volatility across regimes provides limited identification information (i.e., when the difference between regime-specific covariance matrices is small or shrinking), so that standard stability-restriction rank conditions may fail to deliver reliable identification.
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We leave for future research the development of a comprehensive and robust approach to proxy-SVARs that fully integrates potentially invalid external instruments in situations where the volatility shifts provide limited identification information.
What we do not establish is their key condition --- that a cross-surface index responds to episode state while remaining unaffected by the focal event; excluding the event's own surface makes that plausible, co-activity keeps it an assumption. Testing it is the most direct route from these diagnostics to an estimator, and we leave it open.