Recently, there has been increasing interest in forecasting methods that utilise large datasets. We explore the possibility of forecasting with model averaging using the out-of-sample forecasting performance of various models in a frequentist setting, using the predictive likelihood. We apply...

In recent years there has been increasing interest in forecasting methods that utilise large datasets, driven partly by the recognition that policymaking institutions need to process large quantities of information. Factor analysis is one popular way of doing this. Forecast combination is...

Factor based forecasting has been at the forefront of developments in the macroeconometric forecasting literature in the recent past. Despite the flurry of activity in the area, a number of specification issues such as the choice of the number of factors in the forecasting regression, the...

We consider time series forecasting in the presence of ongoing structural change where both the time series dependence and the nature of the structural change are unknown. Methods that downweight older data, such as rolling regressions, forecast averaging over different windows and exponentially...

Detection of structural change is a critical empirical activity, but continuous 'monitoring' of series, for structural changes in real time, raises well-known econometric issues that have been explored in a single series context. If multiple series co-break then it is possible that simultaneous...

The productivity-enhancing effects of digitalisation have generated increased interest in the promotion of digital technologies. This report provides different estimations for euro area countries of the impact of digital uptake on productivity at firm level, showing that the adoption of digital...

The impact of climate change on European Union (EU) countries and regions is poised to exhibit considerable diversity, influenced by factors encompassing average temperature, sectoral composition, developmental stages, and adaptation endeavours. The transition towards a more climate-friendly...

Digitalisation can be described as a sequence of technology and supply shocks which affect the economy through employment and labour markets, productivity and output, and competition and market structure. This paper focuses on how digitalisation - the process of diffusion of digital technologies...

Digitalisation can be viewed as a major supply/technology shock affecting macroeconomic aggregates that are important for monetary policy, such as output, productivity, investment, employment and prices. This paper takes stock of developments in the digital economy and their possible impacts...

In this article, we present a new perspective on forecasting technology adoption, focused on the extensive margin of adoption of multiple digital technologies in multiple countries. We do this by applying a Bayesian hierarchical structure to the seminal model of technology diffusion. After...