Publications and Preprints

2021

2020

2018

Machine Learning for Zombie Hunting. Firms' Failures and Financial Constraints. Submitted.

The First Credit Scoring and Credit Rating Conference (CSCR I) Best Paper Award​

[preprint]

Heterogeneous Causal Effects with Imperfect Compliance: a Novel Bayesian Machine Learning Approach. Revise & Resubmit.

Atlantic Causal Inference Conference Tom Ten Have Award Runner Up

[preprint] [code]

From Controlled to Undisciplined Data: Estimating Causal Effects in the Era of Data Science using a Potential Outcome Framework. Submitted.

[preprint]

Heterogeneous Treatment and Spillover Effects under Clustered Network InterferenceSubmitted.

[preprint]

Causal Rule Ensemble: Interpretable Inference on Heterogeneous Treatment Effects. Submitted.

[preprint]​​​​

  • Bargagli-Stoffi, F. J., De Beckker, K., De Witte, K., & Maldonado, J. (2021+)

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

[preprint] [code]

Wasfy, J. & Bargagli-Stoffi, F.J. (2021)

Assessing the Value of Echocardiography in the Absence of Randomized Trials: How Analytic Techniques from Causal Inference Can Fill the Gap. 

Journal of the American Society of Echocardiography 

[paper]

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.

[paper]

Supervised Learning for the Prediction of Firm Dynamics, in S. Consoli, D. et al. (eds.) Data Science for Economics and Finance: Methodologies and Applications, Springer.

[preprint] [code

Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning? in Nicosia G. et al. (eds.) Machine Learning, Optimization, and Data Science. LOD 2020. Lecture Notes in Computer Science, vol 12565. Springer.

[paper]

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

[paper] [preprint]

Policy Papers 

2021

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

  • Smet, M., D’Inverno, G., Tierens, H., Bargagli Stoffi, F.J. and De Witte, K. (2021). The Effectiveness of the GOK Policy, in De Vos, G. and Tuytens, M. (eds.). Differences in Education. Striving for Excellence and Equal Educational Opportunities. Politeia.

CONTACT ME

Falco J. Bargagli Stoffi

DATA AND SOCIAL SCIENTIST

Address:

655 Huntington Ave, Boston, MA 02115, United States

 

Email:

fbargaglistoffi@hsph.harvard.edu

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© 2021 By Falco J. Bargagli Stoffi