Fiscal policy constitutes a key tool for business cycle stabilisation next to monetary policy. In this context, having a well-suited macroeconomic model for analysing fiscal policy at a central bank is of primary importance. This paper documents the fiscal block of the ECB-BASE, which is a...

We use a newly available dataset of euro area quarterly national accounts fiscal data and construct multivariate, state-space mixed-frequencies models for the government deficit, revenue and expenditure in order to assess its information content and its potential use for fiscal forecasting and...

This paper does two things. First it examines the use of real time inter-annual cash data and the role of early interventions for improving the monitoring of national fiscal policies and the correction of fiscal indiscipline. Early warnings are important because they allow us to spread the...

This paper investigates how expectations about future government spending affect the transmission of fiscal policy shocks. We study the effects of two different types of government spending shocks in the United States: (i) spending shocks that are accompanied by an expected reversal of public...

While fiscal forecasting and monitoring has its roots in the accountability of governments for the use of public funds in democracies, the Stability and Growth Pact has significantly increased interest in budgetary forecasts in Europe, where they play a key role in the EU multilateral budgetary...

Since most macroeconomic data are revised after the initial release both researchers and policy-makers have no choice rather than recognising and understanding the revisions. This paper analyses revisions to the fiscal data in the euro area, also by contrasting them with the 'better-understood'...

We suggest an alternative use of disaggregate information to forecast the aggregate variable of interest, that is to include disaggregate information or disaggregate variables in the aggregate model as opposed to first forecasting the disaggregate variables separately and then aggregating those...

A prediction model is any statement of a probability distribution for an outcome not yet observed. This study considers the properties of weighted linear combinations of n prediction models, or linear pools, evaluated using the conventional log predictive scoring rule. The log score is a concave...

We evaluate residual projection strategies in the context of a large-scale macro model of the euro area and smaller benchmark time-series models. The exercises attempt to measure the accuracy of model-based forecasts simulated both out-of-sample and in-sample. Both exercises incorporate...