Biography

Dr Annalivia Polselli is a British Academy Postdoctoral Fellow at the Institute for Social and Economic Research (ISER), University of Essex. She previously held a postdoctoral position at the Institute for Analytics and Data Science (IADS), University of Essex. She received her Ph.D. in Economics from the University of Essex in 2022. Her research focuses on econometric methods for panel data models, causal machine learning, and applied economics. Her current work advances double machine learning techniques for panel data models. She is the author of the R package `xtdml`, available on CRAN (https://cran.r-project.org/web/packages/xtdml/index.html).
Annalivia’s latest work:
– Clarke, P. S. and Polselli,  A. (2025). Double Machine Learning for Static Panel Models with Fixed Effects. Econometrics Journalhttps://doi.org/10.1093/ectj/utaf011
– Leoncini, R., Macaluso, M., and Polselli, A. (2024). Gender segregation: analysis across sectoral dominance in the UK labour market. Empirical Economicshttps://doi.org/10.1007/s00181-024-02611-1

 

2P Machine Learning For Estimating Treatment Effects From Observational Data – Essex Summer School in Social Science Data Analysis