Using a 219-year sample, we find that the US output growth and inflation volatilities fell by 60% and 76%, respectively, from 1945 until the mid-1960s. This Postwar Moderation is more substantial than the Great Moderation. The largest reduction in inflation volatility occurred during the...

We decompose a 219 year sample of U.S. real output data into permanent and transitory shocks. We find reductions in volatility of output growth and inflation, starting in the mid 1980s, consistent with the “Great Moderation” noted by many others. More importantly, we find periods of even...

Annual changes in volatility of U.S. real output growth and inflation are documented in data from 1870 to 2009 using a time varying parameter VAR model. Both volatilities rise quickly with World War I and its aftermath, stay relatively high until the end of World War II and drop rapidly until...

Changes in volatility of output growth and inflation are examined for eight countries with at least 140 years of uninterrupted data. Time-varying parameter vector autoregressions are used to estimate standard deviations of each variable. Both volatilities rise quickly with World War I and its...

While theoretical predictions establish a strong positive relationship between equity prices and inflation, finding substantiating empirical evidence has been a difficult endeavor. Generally, the data suggests a weak negative relationship between stock prices and inflation. Aided by two...

This paper investigates the dynamics of the real exchange rate and relative output among the US and five of its top six trading partners since the collapse of Bretton Woods. It employs long-run restrictions to identify the usual suspect macroeconomic shocks and their relative importance for...

We estimate a Bayesian structural vector autoregression that allows for time-varying parameters and stochastic volatility in the errors to account for the effects of various aggregate shocks on the real price of oil. We employ US quarterly data from 1948:Q1 to 2011:Q2. We find that aggregate...