معرفی
Dr. Francesco Bravo is a Reader in the Department of Economics at the University of York. His research focuses on econometric theory, statistical theory, and applied econometrics, with particular emphasis on nonparametric and semiparametric methods, higher-order asymptotic theory, and missing data analysis. He holds a Laurea from the University of Udine, an MSc from the University of Southampton, and a PhD from the University of Southampton.
His research interests include nonparametric likelihood, generalized empirical likelihood methods, and the development of robust statistical techniques for complex models. He has contributed to advancements in econometric methods for time series and panel data analyses, particularly in handling dependent data structures and model misspecification.
Dr. Bravo has published widely in top-tier journals such as the Annals of the Institute of Statistical Mathematics, Journal of Time Series Analysis, and Statistics & Probability Letters. His work often bridges theoretical contributions with practical applications, addressing challenges in economic and health-related data analysis.
He has secured research funding, including a project on Sieve non-parametric methods for unit root tests funded by the Economic and Social Research Council (ESRC). He teaches undergraduate courses in Probability and Statistics, Econometric Methods for Research, and graduate-level econometrics.
His office hours are Wednesday 11:00-13:00, and he can be reached at francesco.bravo@york.ac.uk for appointments.
