Italy ranked last in terms of manufacturing productivity growth according to OECD estimates over the last decade, with a flat, if not declining, trend. In this work we investigate the underlying firm-level dynamics of enterprises on the basis of a database developed by the Italian Statistical Office (ISTAT) covering the period 1989–2004 and containing information on more than 100,000 firms. Over this period not only have the indicators of the central tendency of the distribution of labor productivity not significantly changed, but also the whole sectoral distributions have remained relatively stable over time, with their support at least not shrinking, or even possibly widening, over time. This is even more surprising if one takes into consideration the “Euro” shock that occurred during the period investigated. On the contrary, we observe that inter-decile differences in productivity have been increasing. Further, heterogeneous firms’ characteristics (i.e. export activity and innovation) seem to have contributed to boosting such intra-industry differences. Given such wide heterogeneities we resort to quantile regressions to identify the impact of a set of regressors at different levels of the conditional distribution of labor productivity. One phenomenon that we observe is what we call a tendency toward “neo-dualism” involving the co-existence of a small group of dynamic firms with a bigger ensemble of much less technologically progressive ones

This work describes the process of building Micro.3, an integrated database containing firm level information for Italian enterprises. Micro.3 covers the period 1989-2004 and represents the development of a previous database, Micro.1 which covered a much narrower set of variables and spanned only from 1989 to 1997. This works explains the motives that drove the development of Micro.3 and it details the decisions taken during the process of construction to ensure the continuity of the existing variables as they are retrieved from different sources. Finally, we presents some statistical evidence that enables the reader to assess the quality of Micro.3.

No abstract

Profitability, Productivity, Principal component analysis, Financial ratio analysis, Enterprises ranking, D21, M4, G30,

The 2014 European Parliament election and the 2016 Constitutional Referendum in Italy occurred in the middle of two general elections. These votes, taking place respectively at the beginning and the end of the government led by Matteo Renzi of the Democratic Party (PD), represented a public test of the PD leadership. The election results were diverse in many respects, but they replicate social, economic, political, and cultural differences. In particular, between the two electoral exercises the differential electoral behaviour of South compared with the rest of the country is deepened. Moreover, the results can be interpreted as the outcome of differences in age, educational levels, social, and economic unrest; all these variables are synthesized by the territorial distribution of the vote and this helps in interpreting the evolution of political sentiment in Italy. A spatial statistics methodology is utilized to analyse votes by means of their territorial distributions. The outcomes indicate that referendum result was influenced by the economic vote. Apart from the substance of the constitutional reform, the referendum result can be traced back to economic factors: the absence of perceived economic improvements and the persistence of high unemployment.