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

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...

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...

We use a Markov regime-switching heteroskedasticity model in order to examine the association between inflation and inflation uncertainty in four European countries over the last forty years. This approach allows for regime shifts in both the mean and variance of inflation in order to assess the...

New Keynesian models attempt to account for economic fluctuations under nominal rigidities without modelling unemployment. They struggle to generate observed output and inflation persistence. To address these issues, recent research embeds labour search with matching frictions in a New Keynesian...