Regime switches, Agents’ Beliefs, and Post-World War II U.S. Macroeconomic Dynamics

By Francesco Bianchi. 2013

308 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9394fd52bf54d009419acdf1a88adb317e319dc9

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In Economics and Econometrics

Citations in the corpus

Perturbation methods for Markov‐switching dynamic stochastic general equilibrium models (2016, methodology): “In this paper we extend the conventional perturbation method, as described in Judd (1998) and Schmitt-Grohe and Uribe (2004) and advocated recently by Lombardo (2010) and Borovic̆ka and Hansen (2013), to approximating the solutions of Markov-switching dynamic stochastic general equilibrium (MSDSGE) ”
Perturbation Methods for Markov-Switching DSGE Models (2014, background): “…in explaining shifts in monetary policy and macroeconomic time series (Schorfheide (2005), Davig and Doh (2008), Liu, Waggoner, and Zha (2011), and Bianchi (2010)) and in modeling the expected effects of future fiscal policy changes (Davig, Leeper, and Walker (2010), Davig, Leeper, and Walker…”
Monetary/Fiscal Policy Mix and Agents’ Beliefs (2017, unknown): “In this respect, the results are similar to the ones obtained by Bianchi (2011). However, here we are assuming that the entire monetary/scal policy combination is changing, not just the behavior of the monetary authority.”
Monetary-Fiscal Policy Interactions and Fiscal Stimulus (2011, unknown): “2 Work along these lines includes Andolfatto and Gomme (2003), Leeper and Zha (2003), Davig (2004), Davig and Leeper (2006, 2007), Chung et al. (2007), Svensson and Williams (2007), Bianchi (2009), and Farmer et al. (2009).”
Uncertainty Shocks, Asset Supply and Pricing over the Business Cycle (2018, background): “Please refer to Bianchi (2012) for details about the estimation strategy.”
Escaping the Great Recession (2017, unknown): “Accounting for policy uncertainty is important in light of a growing literature that argues that there were in fact changes in policymakers’ behavior over the past 60 years (Clarida, Gali, and Gertler 2000; Lubik and Schorfheide 2004; and Bianchi 2013).”
Bond Market Exposures to Macroeconomic and Monetary Policy Risks (2017, unknown): “The smoothed paths for monetary policy are broadly consistent with those found in Bianchi (2012), Clarida, Gali, and Gertler (2000), Ang, Boivin, Dong, and Loo-Kung (2011), Bikbov and Chernov (2013), and Coibon and Gorodnichenko (2011).”
A quasi-Bayesian local likelihood approach to time varying parameter VAR models (2019, methodology): “A similar assumption is made by Schorfheide (2005), Bianchi (2013), Foerster, Rubio-Ramirez, Waggoner and Zha (2014), but the parameters are modelled as Markov-switching processes. In contrast, Canova (2006), Canova and Sala (2009) and Giacomini and Rossi (2009) assess parameter time variation by es”
Growth, Slowdowns, and Recoveries (2019, unknown): “Shocks to the marginal efficiency of investment explain the bulk of the low-frequency variation in growth rates.”
Monetary Policy Regime Shifts and Inflation Persistence (2009, unknown): “Similarly, estimates from Bianchi (2013) and Eo (2008), who allow regime shifts in policy coefficients, also find that the active policy stance was in place for much of the time prior to the 1970s.”