• A composite likelihood approach for dynamic structural models 

      Canova, Fabio; Matthes, Christian (CAMP Working Paper Series Paper No. 10/2018;, Working paper, 2018-10-08)
      We describe how to use the composite likelihood to ameliorate estimation, computational, and inferential problems in dynamic stochastic general equilibrium models. We present a number of situations where the methodology ...
    • Approximating time varying structural models with time invariant structures 

      Canova, Fabio; Ferroni, Filippo; Matthes, Christian (CAMP Working Paper Series;1/2016, Working paper, 2016)
      The paper studies how parameter variation affects the decision rules of a DSGE model and structural inference. We provide diagnostics to detect parameter variations and to ascertain whether they are exogenous or endogenous. ...