معرفی
Hanno Reuvers is a Visiting Fellow in the Department of Econometrics at the Erasmus School of Economics, Erasmus University Rotterdam. He holds a PhD in Econometrics from Maastricht University (2018) and an MSc in Econometrics and Operations Research from the same institution (2013). His primary academic affiliation is with the Econometrics department, where he conducts research in statistical and computational methods for economic and environmental data.
His research interests span a broad range of topics in econometrics and data science, with a focus on Climate Econometrics, Machine Learning, Spatial Modelling, Statistics for Big Data, Time Series Modelling, and Volatility Models. He applies advanced statistical techniques to complex real-world problems, such as environmental trends and financial time series.
The most recent articles in his publication record, all from the last five years, demonstrate a strong focus on advanced time series and spatial econometric methods. Key themes include cointegrating polynomial regressions, spatio-temporal autoregressions, and the Environmental Kuznets Curve. His work combines rigorous theoretical development with practical applications, often using large datasets like satellite measurements of NO2. This indicates a research program that is highly quantitative, methodologically innovative, and oriented towards environmental and economic policy-relevant questions.
He is an active contributor to the academic community through his publications in leading journals and his personal blog, where he explains complex topics like neural networks and the Vasiček model, showcasing his commitment to education and knowledge dissemination.
