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 tests for linear and nonlinear dependence and long-memory" (with Dorina Lazar and Andrada Filip), Carpathian Journal of Mathematics Vol. 25, No. 1 (2009), pp. 92-103 (pre-PhD publication)

Working Papers

"Double Machine Learning for Panel Data with IV" (with Anna Baiardi, Paul Clarke and Annalivia Polselli)

"Double Machine Learning for Staggered Difference-in-Difference" (with Brignoli Paolo and Alessandro Varacca)

"Outlier Robust Inference in the Instrumental Variable Model in Stata (with Jens Klooster, Matthias Hofstede and Mikhail Zhelonkin)

"Robust Estimation of Probit Models with Endogeneity in R: a Vignette" (with André Bik and Mikhail Zhelonkin)

"Robust Estimation and Inference for Treatment Effects in Sample Selection Models" (with Máté Váradi and Mikhail Zhelonkin)

"Finite Sample Performance of Causal Machine Learning Methods for Average and Heterogeneous Treatment Effects" (with Christian Wirths)  

"Estimation and Inference under Weak Identification in MIDAS Models"  (with Onno Kleen and Michel van der Wel)

"Heterogeneous Impacts of Microcredit: Insights from Seven Countries Using Generic Machine Learning" (with Anna Baiardi and Nadja van't Hoff)

Other Manuscripts

"Identification Robust Predictive Ability Testing"

"Assessing Global Identification in DSGE Models"

"Testing Forecast Rationality under Asymmetric and Unknown Loss"