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This paper proposes a multivariate stochastic volatility-in-vector autoregression model called the conditional autoregressive inverse Wishart-in-VAR (CAIW-in-VAR) model as a framework for studying the real effects of uncertainty shocks. We make three contributions to the literature. First, the...
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Using an annual panel of US states over the period 1982-2014, we estimate the response of macroeconomic variables to a shock to the number of new firms (startups). We find that these shocks have significant effects that persist for many years on real GDP, productivity, and population. This...
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When choosing a strategy for monetary policy, policymakers must grapple with mismeasurement of labor market slack, and of the responsiveness of price inflation to that slack. Using stochastic simulations of a small-scale version of the Federal Reserve Board’s principal New Keynesian...
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We explore the use of external instrument SVAR to identify monetary policy shocks. We identify a forward guidance shock as the monetary shock component having zero instant impact on the policy rate. A contractionary forward guidance shock raises both future output and price level, stressing the...
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Vector autoregressions with Markov-switching parameters (MS-VARs) fit the data better than do their constant-parameter predecessors. However, Bayesian inference for MS-VARs with existing algorithms remains challenging. For our first contribution, we show that Sequential Monte Carlo (SMC)...
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