This paper explores the dynamics of U.S. sectoral producer prices in a large Bayesian vector autoregressive (BVAR) model where information from the Input-Output (IO) matrix is used to structure the long-run relationships between these time series. The forecasts of headline inflation generated with this model have accuracy comparable to those from the Survey of Professional Forecasters (SPF) and greater than those generated by a standard BVAR with Minnesota priors, confirming that the IO matrix

Tag-uri: Inflatie