Two Illustrations of the Quantity Theory of Money: Breakdowns and Revivals

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The Impact of the Volatility of Monetary Policy Shocks (2013, methodology): “We conclude the analysis by developing a DSGE model that resembles those by Ireland (2004) and Sargent and Surico (2011), but solved by a third-order perturbation around the steady state, which therefore encompasses the effect of stochastic volatility to monetary policy.”
The Nexus of Monetary Policy and Shadow Banking in China (2018, unknown): “In the spirit of Sargent and Surico (2011), we estimate the following conventional monetary policy rule using “output gap” constructed from one of the these detrended series: gm,t = γ0 + γmgm,t−1 + γπ(πt−1 − π∗) + γx (gx,t−1 − ḡx,t−1) + σmεm,t. (S1) For comparison, the inflation and output growth…”
K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation? (2015, methodology): “This fits the evidence presented for the US in Sargent and Surico (2011). In regime 2 however, trend GDP growth and the cyclical output gap are significant determinants of inflation.”