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Recent literature broadly highlight the importance of modelling technological innovation effects on economic growth. This paper develops a methodology that allows to measure technology contribution to economic convergence; the choice of a regional framework also allows to underline interregional knowledge transmission as a the major channel of technological progress. Moreover, the specification of a dynamic growth model enables to evaluate both the regional convergence and the effect of innovation on long-run labour productivity without resorting to any technology index measurement. We contribute to the methodological literature also by comparing different dynamic panel data estimation procedures and by detecting both the presence of small sample bias and the existence of a nearly unit root autoregressive process in labour productivity series. The results of an empirical analysis on Italian regions show how most of innovation resources derives from relevant spillover mechanisms. Furthermore, technology spillover intensity seems to be strongly affected by geography and productive structure of regions.

The purpose of this paper is to examine the measures of over-indebtedness proposed in the literature and to apply them to the Italian case from 2008 to 2014 by using the wide array of information available from the Bank of Italy's survey on households. The numerous measures of over-indebtedness are critically analysed from both a cross-sectional and a historical perspective. The panel also enables us to analyse the transition into and out of over-indebtedness. Moreover, by using the Eurosystem's Household Finance and Consumption Survey (HFCS), we can compare the over-indebtedness of Italian households with that of other euro-area countries. The paper also addresses the issue of the measurement errors that could bias both the level of over-indebtedness and estimates of the transition into and out of it.

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