In this study we investigate the determinants of financing obstacles using survey data on a sample of around 5000 firms from the euro area countries. This completely new survey – started at the end of 2009 - gives us the opportunity to test whether firm characteristics such as size, age,...

This paper uses a non parametric matching procedure to match survey replies to balance sheet information. It draws on the SAFE survey on access to finance for a sample of 11886 firms in the euro area which are matched with their nearest neighbour in an extended dataset with balance sheet...

This paper uses a new survey-based data set and a model with strong theoretical under-pinnings to explain the characteristics and behaviour of discouraged borrowers in the euro area. The results show that more borrowers are discouraged when the average interest rate charged by banks in a country...

This paper uses a new survey-based data set and a model with strong theoretical under-pinnings to explain the characteristics and behaviour of discouraged borrowers in the euro area. The results show that more borrowers are discouraged when the average interest rate charged by banks in a country...

This paper uses a non-parametric matching procedure to match survey replies to balance sheet information. It draws on the SAFE survey on access to finance for a sample of 11886 firms in the euro area which are matched with their nearest neighbor in an extended dataset with balance sheet...

In this study we investigate the determinants of financing obstacles using survey data on a sample of around 5000 firms from the euro area countries. This completely new survey – started at the end of 2009 - gives us the opportunity to test whether firm characteristics such as size, age,...

We provide a versatile nowcasting toolbox that supports three model classes (dynamic factor models, large Bayesian VAR, bridge equations) and offers methods to manage data selection and adjust for Covid-19 observations. The toolbox aims at simplifying two key tasks: creating new nowcasting...

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...

Commodity prices co-move, but the strength of this co-movement changes over time due to structural factors, like changing energy intensity in production and consumption as well as changing composition of underlying shocks. This paper explores whether econometric models that exploit this...

This paper proposes a framework for deriving early-warning models with optimal out-of-sample forecasting properties and applies it to predicting distress in European banks. The main contributions of the paper are threefold. First, the paper introduces a conceptual framework to guide the process...