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Title: Spatial quantile regression for modelling the impact of digital transformation on European regional economic growth Authors:  Alfredo Cartone - University of Chieti-Pescara (Italy) [presenting]
Luca Di Battista - University of Chieti-Pescara (Italy)
Paolo Postiglione - University of Chieti-Pescara (Italy)
Abstract: The study of regional economic growth still raises many issues, and, in the last years, a strain focused on quantile regression, showing the advantages of modelling the entire conditional distribution and going beyond average. However, the modelling of spatial effects in quantile regression is still to explore. We add on the literature on economic growth on two sides. First, we consider quantile regression at the regional level by comparing different spatial quantile specifications, particularly Spatial Lag and Spatial Durbin Model. Second, we measure the effect of digital transformation by considering IT variables on the growth level of European NUTS2. We focus on the higher level of the conditional distribution meant as the conditional quantile useful to measure regions' performance. Finally, we estimate direct and indirect impacts to observe spatial spillovers across the whole conditional distribution.