This paper considers the problem of jointly decomposing a set of time series variables into cyclical and trend components, subject to sets of stochastic linear restrictions among these cyclical and trend components. We derive a closed form solution to an ordinary problem featuring homogeneous...

We augment a linearized dynamic stochastic general equilibrium (DSGE) model with a tractable endogenous risk mechanism, to support the joint analysis of monetary and macroprudential policy. This state dependent conditional heteroskedasticity mechanism specifies the conditional variances of...

This paper jointly analyzes the optimal conduct of monetary policy, foreign exchange intervention, fiscal policy, macroprudential policy, and capital flow management. This policy analysis is based on an estimated medium-scale dynamic stochastic general equilibrium (DSGE) model of the world...

This paper develops a structural macroeconometric model of the world economy, disaggregated into forty national economies. This panel dynamic stochastic general equilibrium model features a range of nominal and real rigidities, extensive macrofinancial linkages, and diverse spillover...

This paper develops a structural macroeconometric model of the world economy, disaggregated into thirty five national economies. This panel unobserved components model encompasses an approximate linear panel dynamic stochastic general equilibrium model featuring a monetary transmission...

This paper develops a panel unobserved components model of the monetary transmission mechanism in the world economy, disaggregated into twenty national economies along the lines of the Group of Twenty. This structural macroeconometric model features extensive linkages between the real and...

This paper analyzes the transmission of shocks and policies among and across the Nordic economies and the rest of the world. This spillover analysis is based on a pair of estimated structural macroeconometric models of the world economy, disaggregated into thirty five national economies. We find...