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Giulio Perani

Researcher at National Institute of Statistics

Publications -  22
Citations -  405

Giulio Perani is an academic researcher from National Institute of Statistics. The author has contributed to research in topics: Public policy & Granger causality. The author has an hindex of 8, co-authored 22 publications receiving 363 citations.

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Nature and impact of innovation in manufacturing industry : some evidence from the italian innovation survey

TL;DR: In this article, the authors present evidence on the number of firms involved in innovation, the total expenditures devoted to innovation, and the quantity and quality of innovating output of the Italian manufacturing industry.
Journal ArticleDOI

Innovation, profitability and growth in medium and high-tech manufacturing industries: evidence from Italy

TL;DR: In this paper, the authors assess the impact of product innovation on the economic performance of firms operating in medium and high-tech (M&HT) industries using information from a large and unique dataset on Italian firms and estimate a positive and significant "innovation premium" both in terms of profitability and growth (in the short-run) for those firms who introduced new innovative products.
Posted Content

Matching industry classifications. A method for converting Nace Rev.2 to Nace Rev.1

TL;DR: A conversion matrix where sectoral weights are built on firm level employment data drawn from the ASIA Istat database is developed, which makes assumptions on the stability of the economic structure over time and on the comparability between different data sources.
Posted Content

Reverse causality in the R&D – patents relationship: an interpretation of the innovation persistence

TL;DR: In this article, a Granger causality test on the theoretical presumption of a reverse patents→R&D link was performed as an explanation of the failure of the traditional relationship, and the lag structure of such a relationship was interpreted as showing the effective patent life which firms expect in the two Schumpeterian patterns of innovations they belong to.
OtherDOI

Developing and using indicators of emerging and enabling technologies

TL;DR: In this article, a Handbook comprehensively examines indicators and statistical measurement related to innovation (as defined in the OECD/Eurostat Oslo Manual) and deals with the development and the use of innovation indicators to support decision-making and is written by authors who are practitioners, who know what works and what does not.