The European Union (EU) provides grants to disadvantaged regions of member states to allow them to catch up with the EU average. Under the Objective 1 scheme, NUTS2 regions with a GDP per capita level below 75% of the EU average qualify for structural funds transfers from the central EU budget....

We exploit employment data from 10,528 parishes across nineteenth century England and Wales and find that a one standard deviation increase in finance employment increases the annualized growth rate of secondary labour by 0.8 percentage points. An endogenous growth model with finance and...

We analyze the impact of EU structural and cohesion funds on economic growth of European regions, using 2SLS to tackle the potential problem of endogeneity, and estimating a spatial model to account for inter-regional spillovers. We use the presence of environmentally protected areas (under the...

This paper contributes to the recent literature in spatial econometrics that focuses on space-time data modeling implementing a multi-location time-series statistical framework to analyze a regional system. Therefore, taking as a point of departure the Global Vector Autoregression approach...

By applying the smile curve concept to regional value added growth rather than to levels, the paper claims that local value-added growth increases when a region is specialised in scarce natural resources or scarce human skills within a GVC. Under these circumstances, in fact, the region can...

Recently, there has been a growing interest in newly developed econometric tools to conduct counterfactual analysis when a treated unit experiences a policy intervention, and an artificial control group has to be constructed. Adopting novel penalized synthetic control methods, we quantify the...