Forecasting inflation is of key relevance for central banks, not least because the objective of low and stable inflation is embodied in most central banks’ mandates and the monetary policy transmission mechanism is well known to be subject to long and variable lags. To our best knowledge, central banks around the world use conditional as well as unconditional forecasts for such purposes. Turning to unconditional forecasts, these can be derived on the basis of structural and non-structural models. Among the latter, vector autoregressive (VAR)-models are among the most popular tools
We develop a small model for forecasting inflation for the euro area using quarterly data over the p...
In this paper we construct a large Bayesian Vector Autoregressive model (BVAR) for the Euro area tha...
Bayesian vector autoregressions (BVAR) have turned out to be useful for medium-term macroeconomic fo...
We compare models for forecasting growth and inflation in the enlarged euro area. Forecasts are bui...
Forecasting inflation is an important and challenging task. In this paper we assume that the core in...
We compare models for forecasting growth and inflation in the enlarged euro area. Forecasts are buil...
We construct a Bayesian vector autoregressive model with three layers of information: the key driver...
This paper examines the problem of forecasting macro-variables which are observed monthly (or quarte...
This paper uses a large data set, consisting of 447 monthly macroeconomic time series concerning the...
We develop a small model for forecasting inflation for the euro area using quarterly data over the p...
Montenegro started using the euro in 2002 and regained independence in 2006. Its main economic pa...
Economic agents and financial authorities require frequent updates to a path of accurate inflation f...
Economic agents and financial authorities require frequent updates to a path of accurate inflation f...
Since price stability is the ESCB's primary objective, the evaluation of price development in the li...
Bayesian VAR (BVAR) models offer a practical solution to the parameter proliferation concerns as the...
We develop a small model for forecasting inflation for the euro area using quarterly data over the p...
In this paper we construct a large Bayesian Vector Autoregressive model (BVAR) for the Euro area tha...
Bayesian vector autoregressions (BVAR) have turned out to be useful for medium-term macroeconomic fo...
We compare models for forecasting growth and inflation in the enlarged euro area. Forecasts are bui...
Forecasting inflation is an important and challenging task. In this paper we assume that the core in...
We compare models for forecasting growth and inflation in the enlarged euro area. Forecasts are buil...
We construct a Bayesian vector autoregressive model with three layers of information: the key driver...
This paper examines the problem of forecasting macro-variables which are observed monthly (or quarte...
This paper uses a large data set, consisting of 447 monthly macroeconomic time series concerning the...
We develop a small model for forecasting inflation for the euro area using quarterly data over the p...
Montenegro started using the euro in 2002 and regained independence in 2006. Its main economic pa...
Economic agents and financial authorities require frequent updates to a path of accurate inflation f...
Economic agents and financial authorities require frequent updates to a path of accurate inflation f...
Since price stability is the ESCB's primary objective, the evaluation of price development in the li...
Bayesian VAR (BVAR) models offer a practical solution to the parameter proliferation concerns as the...
We develop a small model for forecasting inflation for the euro area using quarterly data over the p...
In this paper we construct a large Bayesian Vector Autoregressive model (BVAR) for the Euro area tha...
Bayesian vector autoregressions (BVAR) have turned out to be useful for medium-term macroeconomic fo...