||Croushore, Dean Darrell, 1956- and Evans, Charles, 1958-
||Joint committee on business and financial analysis
||Monetary policy research using time series methods has been criticized for using more information than the Federal Reserve had available in setting policy. To quantify the role of this criticism, we propose a method to estimate a VAR with real-time data while accounting for the latent nature of many economic variables, such as output. Our estimated monetary policy shocks are closely correlated with a typically estimated measure. The impulse response functions are broadly similar across the methods. Our evidence suggests that the use of revised data in VAR analyses of monetary policy shocks may not be a serious limitation.
||Monetary policy, Identification, VARs, Data revisions, Real-time data, and Shocks
||C82 - Data collection and data estimation methodology ; Computer programs - Methodology for collecting, estimating, and organizing macroeconomic data, C32 - Multiple or simultaneous equation models - Time-series models ; Dynamic quantile regressions, and E52 - Monetary policy, central banking, and the supply of money and credit - Monetary policy