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Vector autoregressions have steadily gained in popularity since their introduction in econometrics 25 years ago. A drawback of the otherwise fairly well developed methodology is the inability to incorporate prior beliefs regarding the system's steady state in a satisfactory way. Such prior...
Persistent link: https://www.econbiz.de/10011585058
In 2016 the Central Bank of Argentina began to announce inflation targets. In this context, providing authorities with good estimates of relevant macroeconomic variables is crucial for making pertinent corrections in order to reach the desired policy goals. This paper develops a group of models...
Persistent link: https://www.econbiz.de/10011882797
-run predictions of a wide class of theoretical models yields substantial improvements in the forecasting performance. …
Persistent link: https://www.econbiz.de/10011754400
-run predictions of a wide class of theoretical models yields substantial improvements in the forecasting performance. …
Persistent link: https://www.econbiz.de/10011802148
In this paper we apply a sensitivity analysis regarding two types of prior information considered within the Bayesian estimation of a standard hybrid New-Keynesian model. In particular, we shed a light on the impact of micro- and macropriors on the estimation outcome. First, we investigate the...
Persistent link: https://www.econbiz.de/10010234025
the results from previous studies, BVAR models with theoretical priors seem to achieve forecasting performance that is …
Persistent link: https://www.econbiz.de/10010339762
Vector autoregressions with Markov-switching parameters (MS-VARs) fit the data better than do their constant-parameter predecessors. However, Bayesian inference for MS-VARs with existing algorithms remains challenging. For our first contribution, we show that Sequential Monte Carlo (SMC)...
Persistent link: https://www.econbiz.de/10011499604
This paper develops a Markov-Switching vector autoregressive model that allows for imperfect synchronization of cyclical regimes in multiple variables, due to phase shifts of a single common cycle. The model has three key features: (i) the amount of phase shift can be different across regimes...
Persistent link: https://www.econbiz.de/10013131768
In nonlinear state-space models, sequential learning about the hidden state can proceed by particle filtering when the density of the observation conditional on the state is available analytically (e.g. Gordon et al. 1993). This condition need not hold in complex environments, such as the...
Persistent link: https://www.econbiz.de/10013093423
This chapter provides an overview of solution and estimation techniques for dynamic stochastic general equilibrium (DSGE) models. We cover the foundations of numerical approximation techniques as well as statistical inference and survey the latest developments in the field
Persistent link: https://www.econbiz.de/10013002113