Refining public policies with machine learning: The case of tax auditing
Authors:
- Marco BattagliniMBMarco Battaglini
- Luigi GuisoLGLuigi Guiso
- Chiara LacavaCLChiara Lacava
- Douglas L. MillerDMDouglas L. Miller
- Eleonora PatacchiniEPEleonora Patacchini
Open Access
- 23 September 2024
- journal article
- Published by Elsevier in Journal of Econometrics
- Vol. 249
Abstract
No abstract availableFunding Information
- Cornell University Cornell Center for Social Sciences
This publication has 14 references indexed in Scilit:
- Predicting and Preventing Gun Violence: An Experimental Evaluation of READI ChicagoThe Quarterly Journal of Economics, 2023
- A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation2020
- Simple Rules to Guide Expert ClassificationsJournal of the Royal Statistical Society Series A: Statistics in Society, 2020
- Identifying suspicious groups of affiliated-transaction-based tax evasion in big dataInformation Sciences, 2019
- Machine learning for environmental monitoringNature Sustainability, 2018
- Who is Bogus?2018
- The Selective Labels ProblemProceedings of the Acm Sigkdd Conference on Knowledge Discovery and Data Mining, 2017
- Beyond prediction: Using big data for policy problemsScience, 2017
- Random ForestsMachine Learning, 2001
- A classification-based methodology for planning audit strategies in fraud detection1999