Search Results
Working Paper
Bayesian Modeling of Time-Varying Parameters Using Regression Trees
In light of widespread evidence of parameter instability in macroeconomic models, many time-varying parameter (TVP) models have been proposed. This paper proposes a nonparametric TVP-VAR model using Bayesian additive regression trees (BART). The novelty of this model stems from the fact that the law of motion driving the parameters is treated nonparametrically. This leads to great flexibility in the nature and extent of parameter change, both in the conditional mean and in the conditional variance. In contrast to other nonparametric and machine learning methods that are black box, inference ...
Working Paper
Rising Market Concentration and the Decline of Food Price Shock Pass-Through to Core Inflation
Using a vector autoregression that allows for time-varying parameters and stochastic volatility, we show that U.S. core inflation became 75 percent less responsive to shocks in food prices since the late 1970s. The decline in the pass-through of food price shocks to inflation is a result of a decline in both volatility and the persistence of food price changes in inflation. This decline in pass-through coincides with a period of increasing concentration in the food supply chain, especially among U.S. grocery retailers and distributors. We find that 60 percent of the variation in pass-through ...