Add to ORKGWe propose two methods to choose the variables to be used in the estimation of the structural parameters of a singular DSGE model. The first selects the vector of observables that optimizes parameter identification; the second the vector that minimizes the informational discrepancy between the singular and non-singular model. An application to a standard model is discussed and the estimation properties of different setups compared. Practical suggestions for applied researchers are provided
We investigate identifiability issues in DSGE models and their consequences for parameter estimation...
Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession...
Koop, Pesaran and Smith (2011) suggest a simple diagnostic indicator for the Bayesian estimation of ...
We propose two methods to choose the variables to be used in the estimation of the structural parame...
This paper builds upon the composite likelihood concept of Lindsay (1988) to develop a framework for...
Abstract This paper studies structural identification of parameters of a DSGE model from the first a...
The issue of identification arises whenever structural models are estimated. Lack of identification ...
The identification of reduced-form VAR model had been the subject of numerous debates in the literat...
We investigate identification issues in DSGE models and their consequences for parameter estimation ...
This article analyzes identification problems that may arise while linearizing and solving DSGE mode...
This chapter highlights the problems that structural methods and SVAR approaches have when estimatin...
We propose a numerical method, based on indirect inference, for checking the identification of a DSG...
A method to estimate DSGE models using the raw data is proposed. The approach links the observables ...
In a recent article Canova et al. (2014) study the optimal choice of variables to use in the estimat...
This chapter highlights the problems that structural methods and SVAR ap-proaches have when estimati...
We investigate identifiability issues in DSGE models and their consequences for parameter estimation...
Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession...
Koop, Pesaran and Smith (2011) suggest a simple diagnostic indicator for the Bayesian estimation of ...
We propose two methods to choose the variables to be used in the estimation of the structural parame...
This paper builds upon the composite likelihood concept of Lindsay (1988) to develop a framework for...
Abstract This paper studies structural identification of parameters of a DSGE model from the first a...
The issue of identification arises whenever structural models are estimated. Lack of identification ...
The identification of reduced-form VAR model had been the subject of numerous debates in the literat...
We investigate identification issues in DSGE models and their consequences for parameter estimation ...
This article analyzes identification problems that may arise while linearizing and solving DSGE mode...
This chapter highlights the problems that structural methods and SVAR approaches have when estimatin...
We propose a numerical method, based on indirect inference, for checking the identification of a DSG...
A method to estimate DSGE models using the raw data is proposed. The approach links the observables ...
In a recent article Canova et al. (2014) study the optimal choice of variables to use in the estimat...
This chapter highlights the problems that structural methods and SVAR ap-proaches have when estimati...
We investigate identifiability issues in DSGE models and their consequences for parameter estimation...
Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession...
Koop, Pesaran and Smith (2011) suggest a simple diagnostic indicator for the Bayesian estimation of ...