most citedTechnological Learning and Innovation Gestation Lags at the Frontier of Science: from CERN Procurement to Patent

1 citations · 1 across the 1 of their papers we have counts for

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6 papers

econ.GN20191 cited

Technological Learning and Innovation Gestation Lags at the Frontier of Science: from CERN Procurement to Patent

Andrea Bastianin, Paolo Castelnovo, Massimo Florio +1

This paper contributes to the literature on the impact of Big Science Centres on technological innovation. We exploit a unique dataset with information on CERN's procurement orders…

econ.EM2018

How does stock market volatility react to oil shocks?

Andrea Bastianin, Matteo Manera

We study the impact of oil price shocks on the U.S. stock market volatility. We jointly analyze three different structural oil market shocks (i.e., aggregate demand, oil supply, an…

econ.GN2018

Evaluating regulatory reform of network industries: a survey of empirical models based on categorical proxies

Andrea Bastianin, Paolo Castelnovo, Massimo Florio

Proxies for regulatory reforms based on categorical variables are increasingly used in empirical evaluation models. We surveyed 63 studies that rely on such indices to analyze the…

econ.EM2018

Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers

Andrea Bastianin, Marzio Galeotti, Matteo Manera

Call centers' managers are interested in obtaining accurate point and distributional forecasts of call arrivals in order to achieve an optimal balance between service quality and o…

physics.soc-ph2018

The socio-economic impact of a breakthrough in the particle accelerators' technology: a research agenda

Massimo Florio, Andrea Bastianin, Paolo Castelnovo

Preliminary evidence on the long--run trajectory of the accelerator industry suggests that it may be close to the maturity phase of its cycle. If this is the case, how can we measu…

econ.EM2018

Structural analysis with mixed-frequency data: A MIDAS-SVAR model of US capital flows

Emanuele Bacchiocchi, Andrea Bastianin, Alessandro Missale +1

We develop a new VAR model for structural analysis with mixed-frequency data. The MIDAS-SVAR model allows to identify structural dynamic links exploiting the information contained…