Publications and Preprints

2020

2019

2018

Heterogeneous Treatment and Spillover Effects under Clustered Network Interference. arXiv preprint arXiv:2008.0070

Causal Rule Ensemble: Interpretable Inference on Heterogeneous Treatment Effects. arXiv preprint arXiv:2009.09036

Assessing Sensitivity of Machine Learning Predictions. A Novel Toolbox with an Application to Financial Literacy.​ arXiv preprint forthcoming

Causal Tree with Instrumental Variable: an Extension of the Causal Tree Framework to Irregular Assignment Mechanisms. International Journal of Data Science and Analytics, 9, 315–337.

Machine Learning for Zombie Hunting. Firms' Failures and Financial Constraints. FEB Research Report Department of Economics DPS20. 06.

Supervised Learning for the Prediction of Firm Dynamics, in S. Consoli, D. Reforgiato Recupero, M. Saisana (EDs) Data Science for Economics and Finance: Methodologies and Applications, Springer, forthcoming (pre-print)

Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning? 6th International  Conference  on machine  Learning,  Optimization  &  Data  science  (LOD  2020).  In Lecture  Notes  in  Computer  Science, Springer, forthcoming. 

 Heterogeneous Causal Effects with Imperfect Compliance: a Novel Bayesian Machine Learning Approach. Under review. arXiv preprint arXiv:1905.12707.

Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).​

Policy Papers

2020

  • Bargagli Stoffi, F.J., De Witte, K. & Gnecco, G.

The Heterogeneous Effects of the GOK Policy. Steunpunt Sono Research Report, forthcoming

CONTACT ME

Falco J. Bargagli Stoffi

DATA AND SOCIAL SCIENTIST

Address:

677 Huntington Ave, Boston, MA 02115, United States

 

Email:

fbargaglistoffi@hsph.harvard.edu

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© 2019 By Falco J. Bargagli Stoffi