Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications

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How Does Monetary Policy Affect Income and Wealth Inequality? Evidence from Quantitative Easing in the Euro Area (2018, methodology): “Specifically, we identify the effects of asset purchases using a combination of zero and sign restrictions (employing the algorithm of Arias et al., 2018).”
Oil Prices, Exchange Rates and Interest Rates (2019, methodology): “Estimation and Inference The model is estimated by state-of-the-art Bayesian methods, building on Arias et al. (2018) and Antolin-Diaz and Rubio-Ramirez (2018).”
Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations (2018, background): “There is again no basis in the data for choosing one point in this distribution, or some subset of this distribution, over any other.3 2 Arias, Rubio-Ramírez, and Waggoner (2018) acknowledged that their prior over (Φ,Ω,Q) implies a prior over (A,D,B), but did not mention the fact that the bounds…”