The Finance-Growth Nexus is a classical source of debate among economists. This contribution offers regional evidence on this issue in order to see if it can meet the data within a 140 years old economic union -- Italy -, in the ideal context for its main competitor - New Economic Geography -...

The Finance-Growth Nexus is a classical source of debate among economists. This contribution offers regional evidence on this issue in order to see if it can meet the data within a 140 years old economic union - Italy -, in the ideal context for its main competitor - New Economic Geography - and...

In this paper, we show that the regional finance-growth nexus in Italy is robust to a series of innovations with respect to the existing literature on the topic. We use finer measures of economic and financial development, as well as instruments with a deeper economic content. We rely on...

Improved household accessibility to credit is identified as a significant determinant of intra-household re-allocation of labour resources with important implications for productivity, income, and poverty status. However, credit accessibility could also have wider impacts on poverty if it leads...

The Finance-Growth Nexus is a classical source of debate among economists. This contribution offers regional evidence on this issue in order to see if it can meet the data within a 140 years old economic union - Italy -, in the ideal context for its main competitor - New Economic Geography - and...

The Finance-Growth Nexus is a classical source of debate among economists. This contribution offers regional evidence on this issue in order to see if it can meet the data within a 140 years old economic union -- Italy -, in the ideal context for its main competitor - New Economic Geography -...

This paper offers two innovations for empirical growth research. First, the paper discusses principal components augmented regressions to take into account all available information in well-behaved regressions. Second, the paper proposes a frequentist model averaging framework as an alternative...

This paper uses the adaptive LASSO estimator to determine the variables important for economic growth. The adaptive LASSO estimator is a computationally very simple procedure that performs at the same time both consistent parameter estimation and model selection. The methodology is applied to...

The purpose of this paper is to analyse the effect of various proximity dimensions on the innovative capacity of 276 regions in Europe within a knowledge production function model, where R&D and human capital are included as the main internal inputs. We combine the standard geographical...

In this paper, the Schumpeterian growth model developed by Ertur and Koch (2011) that includes spatial interactions between units of observation working via R&D spillovers is presented in detail. The implications of this model and three additional growth models with and without spatial...