Showing 1 - 10 of 32,479
estimate vector autoregressive moving average (VARMA) and state space models, which are not misspecified, using simulated data … VARMA models. However, state space algorithms can outperform SVARs. In particular, the CCA subspace method consistently … used in the literature make identification via long-run restrictions difficult for any method. …
Persistent link: https://www.econbiz.de/10012143685
The paper investigates the sources of macroeconomic forecast errors in Germany. The predictions of the so-called "six leading" research institutes are analyzed. The forecast errors are discussed within an aggregate demand/supply scheme. Structural Vector Autoregressive Models are estimated to...
Persistent link: https://www.econbiz.de/10011476550
The paper investigates the sources of macroeconomic forecast errors in Germany. The predictions of the so-called "six leading" research institutes are analyzed. The forecast errors are discussed within an aggregate demand/supply scheme. Structural Vector Autoregressive Models are estimated to...
Persistent link: https://www.econbiz.de/10010260630
The paper investigates the sources of macroeconomic forecast errors in Germany. The predictions of the so-called "six leading" research institutes are analyzed. The forecast errors are discussed within an aggregate demand/supply scheme. Structural Vector Autoregressive Models are estimated to...
Persistent link: https://www.econbiz.de/10005755268
This paper analyses identification for multivariate unobserved components models in which the innovations to trend and … cycle are correlated. We address order and rank criteria as well as potential non-uniqueness of the reduced-form VARMA model …. Identification is shown for lag lengths larger than one in case of a diagonal vector autoregressive cycle. We also discuss UC models …
Persistent link: https://www.econbiz.de/10011441877
This paper analyses identification for multivariate unobserved components models in which the innovations to trend and … cycle are correlated. We address order and rank criteria as well as potential non-uniqueness of the reduced-form VARMA model …. Identification is shown for lag lengths larger than one in case of a diagonal vector autoregressive cycle. We also discuss UC models …
Persistent link: https://www.econbiz.de/10011491916
The identification of a VAR requires differentiating between correlation and causation. This paper presents a method to …
Persistent link: https://www.econbiz.de/10010328494
The identification of a VAR requires differentiating between correlation and causation. This paper presents a method to …
Persistent link: https://www.econbiz.de/10002133841
We examine the effects of extracting monetary policy disturbances with semi-structural and structural VARs, using data generated by a limited participation model under partial accommodative and feedback rules. We find that, in general, misspecification is substantial: short run coefficients...
Persistent link: https://www.econbiz.de/10005704978
Suppose we wish to carry out likelihood based inference but we solely have an unbiased simulation based estimator of the likelihood.  We note that unbiasedness is enough when the estimated likelihood is used inside a Metropolis-Hastings algorithm.  This result has recently been introduced in...
Persistent link: https://www.econbiz.de/10005047860