Despite its rather broad goal of promoting "economic, social and territorial cohesion", the existing literature has mainly focused on investigating the Cohesion Policy's growth effects. This ignores the fact that part of the EU expenditures is directly aimed at reducing disparities in the...

This paper provides evidence on the role of net fiscal transfers to households and EU structural funds for per-capita output convergence across a large sample of European regions during the period 1995-2005. We find that net fiscal transfers, while achieving regional redistribution, seem to...

We use a novel disaggregate sectoral euro area data set with a regional breakdown to investigate price changes and suggest a new method to extract factors from over-lapping data blocks. This allows us to separately estimate aggregate, sectoral, country-specific and regional components of price...

This paper investigates the growth impact of the EU's Structural, Cohesion and Pre-accession Funds. We look at a large sample of 27 EU countries and the UK, over a period of 1989 and 2020, essentially covering the full history of these funds. We show that the growth effect of the funds is...

The post-2008 period in the euro area was characterised by sharp dispersion in borrowing costs faced by firms, across both countries and firm types. This dispersion was an important manifestation of the financial fragmentation" which hampered the smooth transmission of accommodative monetary...

We estimate a FAVAR with Bayesian techniques in order to investigate the impact of loan supply conditions on euro area corporate investment and its financing structure. We identify shocks to overall demand and loan supply with sign and impact restrictions. Although tightened financial conditions...

This paper aims at investigating the relationship between firms' profit efficiency, access to finance and innovation activities. We enrich our understanding on firms' performance by adopting the stochastic frontier approach (SFA), which allows us to estimate profit functions and to obtain...

This paper exploits daily infrared images taken from satellites to track economic activity in advanced and emerging countries. We first develop a framework to read, clean, and exploit satellite images. Our algorithm uses the laws of physics (Planck's law) and machine learning to detect the heat...

Using microdata from the second wave of the Household Finance and Consumption Survey, we investigate the accuracy of property values estimated by homeowners - so called "self-assessed" house prices - and explore the drivers of possible deviations of these prices from official hedonic house price...