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Dr Andrea A. Naghi

Andrea

Associate Professor in Econometrics and Data Science

Email: a.naghi@qmul.ac.uk
Website: https://sites.google.com/view/anaghi/home

Profile

Biography

Dr Andrea A. Naghi is Associate Professor (Senior Lecturer) in Econometrics and Data Science at Queen Mary University of London. Prior to joining Queen Mary, she was Assistant Professor in Econometrics at Erasmus University in the Netherlands. Andrea completed her PhD at the University of Warwick. Her research interests are Econometrics and (Causal) Machine Learning.

Teaching

Undergraduate:

BUS163 – Introduction to Economics

Postgraduate:

BUSM193 – Data Science: Methods and Applications

 

Andrea is a Fellow of the Higher Education Academy (FHEA).

Research

Research Interests:

Econometrics, Applied Econometrics, Machine Learning, Causal Machine Learning

Publications

A Comparative Analysis of Heterogeneity in Lung Cancer Screening Effectiveness in Two Randomised Controlled Trials (with Max Welz, Kevin ten Haaf, Andreas Alfons, Harry J. de Koning and the NELSON trial consortium -- Carlijn M. van der Aalst, Marjolein A. Heuvelmans, Harry J. M. Groen, Pim A. de Jong, Joachim Aerts, Matthijs Oudkerk), Nature Communications (2025)

The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies (with Anna Baiardi), The Econometrics Journal (2024) - among the top 5 Most Read papers in the Econometrics Journal in 2024.

The Effect of Plough Agriculture on Gender Roles: A Machine Learning Approach (with Anna Baiardi), Journal of Applied Econometrics (2024)

The Benefits of Forecasting Inflation with Machine Learning: New Evidence (with Eoghan O’Neill and Martina Zaharieva), Journal of Applied Econometrics (2024)

Robust Estimation of Probit Models with Endogeneity (with Máté Váradi and Mikhail Zhelonkin), Econometrics and Statistics (2022)

Statistical Test for Linear and Nonlinear Dependence and Long-Memory (with Dorina Lazar and Andrada Filip), Carpathian Journal of Mathematics (2009)

Supervision

Dr. Andrea A. Naghi welcomes applications from prospective PhD students with a strong quantitative background who are interested in pursuing an academic career. Students with research interests in econometrics and (causal) machine learning, with applications in economics, finance, and business, are especially encouraged to apply.

Grants

  • European Commission Horizon 2020, Marie Skłodowska-Curie Individual Grant, €170,000, 2018-2020, principal investigator
  • United Nations, Sustainable Development Goals Funds (with Anna Baiardi), €240,000, 2018-2022, principal investigator
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