This paper proposes a Bayesian approach to assess if the data support candidate set-identifying restrictions for Vector Autoregressive models. The researcher is uncertain about the validity of some sign restrictions that she is contemplating to use. She therefore expresses her uncertainty with a...

We model EU countries' bank ratings using financial variables and allowing for intercept and slope heterogeneity. Our aim is to assess whether "old" and "new" EU countries are rated differently and to determine whether "new" ones are assigned lower ratings, ceteris paribus, than "old" ones. We...

We provide an in-depth theoretical discussion about the differences between attitudes and perceptions, as well as an empirical exercise to analyze its effects. This discussion is of importance, as the large majority of papers considering attitudinal latent variables, just consider those as...

In this paper we present explanation on the phenomenon pointed out in Cook and Manning (2002) on the unusual behaviour of the Dickey-Fuller test in the presence of trend misspecification. It appears that the rejection frequency of the unit root tests in the presence of trend misspecification is...

Flexibly coupling power and heat sectors may contribute to both renewable energy integration and decarbonization. We present a literature review of modelbased analyses in this field, focusing on residential heating. We compare geographical and temporal research scopes and identify...

This paper estimates a time-varying AR-GARCH model of inflation producing measures of inflation uncertainty for the euro area, and investigates the linkages between them in a VAR framework, also allowing for the possible impact of the policy regime change associated with the start of EMU in...

Given the growing dissatisfaction with exclusion and long-run restrictions in structural vector autoregressive analysis, sign restrictions are becoming increasingly popular. So far there are no techniques for validating the shocks identified via such restrictions. Although in an ideal setting...

Economic agents using information that is not incorporated in the econometric model is seen as a possible reason for why nonfundamental shocks are important in econometric models. Allowing for nonfundamental shocks in structural vector autoregressive (SVAR) analysis by considering moving average...

It is emphasized that the shocks in structural vector autoregressions are only identified up to sign and it is pointed out that this feature can result in very misleading confidence intervals for impulse responses if simulation methods such as Bayesian or bootstrap methods are used. The...

In this paper a mixed-frequency VAR à la Mariano & Murasawa (2004) with Markov regime switching in the parameters is estimated by Bayesian inference. Unlike earlier studies, that used the pseuo-EM algorithm of Dempster, Laird & Rubin (1977) to estimate the model, this paper describes how to...