Cosimo Magazzino

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Cosimo Magazzino was born in Grottaglie (TA, Italy) in 1980. He obtained his BA in Public Ad-ministration and his Ph.D. in Political Sciences at Roma Tre University (Rome, Italy).

Positions

He is currently a Professor of Economic Policy, Environmental and Energy Economics, and Economics of Monetary Integration at the Department of Political Sciences, Roma Tre University and a Professor of Environmental and Energy Economics at “Niccolò Cusano” University. He is a member of the Ph.D. Council on Political Science, Roma Tre University.

Education and career

Cosimo Magazzino graduated from the University of Roma Tre in Public Policy in 2007. He got a Ph.D. from the University of Roma Tre with a research project on the political-economic cycle. The study was done under the mentoring of Professors Gian Cesare Romagnoli (Roma Tre University) and Francesco Forte (Sapienza-University of Rome). He got a position as a Researcher in 2007 at Roma Tre University. In 2016 he was appointed Associate Professor of Economic Policy at the University of Roma Tre.

Over the years, he has held numerous teaching courses in Development Economics, Econometrics, Econometrics for Financial Markets, Economic Policy, European Economic Policy, Environmental and Energy Economics, Environmental and Tourism Economics, Economics of Globalization, Economics and Development Policy, Health Economics, Introductory Econometrics, Mathematics for Social Sciences, and Stata Laboratory at several universities (Roma Tre University; Faculty of Economics, University of International Studies of Rome-UNINT; “Niccolò Cusano” University; Universitas Libertatis; University of Bari).

Cosimo Magazzino coordinated the Ministry of Economy and Finance (MEF) Research program “Quality of public finances and impact on potential output” in 2011.

Research Interests

Cosimo Magazzino’s research interests include: public finance; energy econometrics; environmental Kuznets curve; time series econometrics; panel data models; Machine Learning experiments; Artificial Neural Networks analysis; environmental sustainability; circular economy; waste management; transportation infrastructure; agricultural economics.