Falco Bargagli Stoffi

SCHOLARLY PAPERS

5

DOWNLOADS

790

SSRN CITATIONS

4

CROSSREF CITATIONS

0

Scholarly Papers (5)

1.

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

Number of pages: 40 Posted: 30 Apr 2020 Last Revised: 26 May 2020
Falco Bargagli Stoffi, Massimo Riccaboni and Armando Rungi
Harvard University, KU Leuven - Department of Managerial Economics, Strategy, and Innovation and Scuola IMT Alti Studi Lucca
Downloads 432 (127,659)
Citation 1

Abstract:

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machine learning, Bayesian statistical learning, financial constraints, bankruptcy, zombie firms

2.

Heterogeneous Treatment and Spillover Effects Under Clustered Network Interference

Number of pages: 63 Posted: 15 Sep 2020 Last Revised: 17 Sep 2020
Falco Bargagli Stoffi, Costanza Tortù and Laura Forastiere
Harvard University, IMT School for Advanced Studies Lucca, AXES Lab and Yale University - Yale Institute for Network Science
Downloads 128 (411,511)
Citation 7

Abstract:

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causal inference; potential outcomes; interference; social networks; machine learning; heterogeneous effects

3.

Machine Learning for Zombie Hunting: Predicting Distress from Firms' Accounts and Missing Values

Number of pages: 39 Posted: 02 Apr 2022
Falco Bargagli Stoffi, Massimo Riccaboni and Armando Rungi
Harvard University, Scuola IMT Alti Studi Lucca and Scuola IMT Alti Studi Lucca
Downloads 113 (451,787)

Abstract:

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zombie firms, Machine Learning, Bayesian statistical learning, financial constraints, bankruptcy, missing data

4.

What is essential is visible to the eye. Saliency in primary school ranking and its effect on academic achievements

Number of pages: 66 Posted: 28 Dec 2022 Last Revised: 18 Jan 2024
François-Xavier Ladant, Julien Hedou, Paolo Sestito and Falco Bargagli Stoffi
Harvard University, affiliation not provided to SSRN, Bank of Italy and Harvard University
Downloads 59 (666,587)

Abstract:

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Rank, Inequality, Education, Human Capital, Peer Effect

5.

Supervised Learning for the Prediction of Firm Dynamics

Chapter in the Springer book: “Data Science for Economics and Finance: Methodologies and Applications”, co-edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana.
Number of pages: 25 Posted: 22 Oct 2020
Falco Bargagli Stoffi
Harvard University
Downloads 58 (672,069)

Abstract:

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machine learning, firm dynamics, innovation, firm performance