We examine the linear-quadratic (LQ) approximation of non-linear stochastic dynamic optimization problems in macroeconomics, in particular for monetary policy. We make four main contributions: first, we draw attention to a general Hamiltonian framework for LQ approximation due toMagill (1977)....

Recent interest in "Risk Management"has highlighted the relevance of Bayesian analysis for robust monetary-policy making. This paper sets out a comprehensive methodology for designing policy rules inspired by such considerations. We design rules that are robust with respect to model uncertainty...

We examine linear-quadratic (LQ) approximation of stochastic dynamic optimization problems in macroeconomics (and elsewhere), in particular in policy analysis using Dynamic Stochastic General Equilibrium (DSGE) models. We first define the problem that is solved by a social planner, given that...

We reassess the gains from monetary policy coordination within the confines of the canonical NOEM in the light of three issues. First, the literature uses a number of cooperative and non-cooperative equilibrium concepts that do not always clearly distinguish commitment and discretionary...

Using a calibrated two-bloc endogenous growth model of the European economy, we assess the growth and welfare impact of East-West European migration of different skill compositions. The East has a lower total factor productivity and a lower endowment of skilled labour. Migration can induce two...