Monetary DSGE models are widely used because they fit the data well and can be used to address important monetary policy questions. We provide a selective review of these developments. Policy analysis with DSGE models requires using data to assign numerical values to model parameters. The paper...

The UK has experienced a dramatic increase in earnings and income inequality over the past four decades. We use detailed micro level information to construct quarterly historical measures of inequality from 1969 to 2012. We investigate whether monetary policy shocks played a role in explaining...

We investigate the heterogeneity in the effects of monetary policy shocks on the distribution of wages and hours worked, using unique contract-level data from the Czech labor market and identifying monetary policy shocks using a narrative approach based on market suprises in interest rate...

Structural DSGE models are used for analyzing both policy and the sources of business cycles. Conclusions based on full structural models are, however, potentially affected by misspecification. A competing method is to use partially identified SVARs based on narrative shocks. This paper asks...

Since 1991, the Bank of Canada has had an inflation‐targeting (IT) framework established by a joint agreement between the Bank and the Government of Canada. The framework is reviewed every five years as part of the process for renewing the inflation‐control agreement. This discussion paper...

This paper identifies shocks to the Federal ReserveÕs inflation target as VAR innovations that make the largest contribution to future movements in long-horizon inflation expectations. The effectiveness of this scheme is documented via Monte-Carlo experiments. The estimated impulse responses...