Search Results
Showing results 1 to 6 of approximately 6.
(refine search)
Working Paper
A Hitchhiker’s Guide to Empirical Macro Models
This paper describes a package which uses MATLAB functions and routines to estimate VARs, local projections and other models with classical or Bayesian methods. The toolbox allows a researcher to conduct inference under various prior assumptions on the parameters, to produce point and density forecasts, to measure spillovers and to trace out the causal effect of shocks using a number of identification schemes. The toolbox is equipped to handle missing observations, mixed frequencies and time series with large cross-section information (e.g. panels of VAR and FAVAR). It also contains a number ...
Working Paper
Approximating Time Varying Structural Models With Time Invariant Structures
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. Identifi cation and inferential distortions when a constant parameter model is incorrectly assumed are examined. Likelihood and VAR-based estimates of the structural dynamics when parameter variations are neglected are compared. Time variations in the financial frictions of Gertler and Karadi's (2010) model are studied.
Working Paper
A Hitchhiker’s Guide to Empirical Macro Models
This paper describes a package which uses MATLAB functions and routines to estimate VARs, local projections and other models with classical or Bayesian methods. The toolbox allows a researcher to conduct inference under various prior assumptions on the parameters, to produce point and density forecasts, to measure spillovers and to trace out the causal effect of shocks using a number of identification schemes. The toolbox is equipped to handle missing observations, mixed frequencies and time series with large cross-section information (e.g. panels of VAR and FAVAR). It also contains a number ...
Working Paper
Mind the gap! Stylized Dynamic Facts and Structural Models.
We study what happens to identified shocks and to dynamic responses when the data generating process features q disturbances but q1
Working Paper
Monetary disturbances matter for business fluctuations in the G-7
This paper examines the importance of monetary disturbances for cyclical fluctuations in real activity and inflation. It employs a novel identification approach which uses the sign of the cross-correlation function in response to shocks to assign a structural interpretation to orthogonal innovations. We find that monetary shocks significantly drive output and inflation cycles in all G-7 countries; that they are the dominant source of fluctuations in three of the seven countries; that they contain an important policy component, and that their impact is time varying.
Working Paper
A Composite Likelihood Approach for Dynamic Structural Models
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 has the potential to resolve well-known problems. In each case we consider, we provide an example to illustrate how the approach works and its properties in practice.