---
title: Predicting Policy Funding Allocation with Machine Learning
url: https://www.ml-quant.com/papers/ssrn/4978681/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4978681
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4978681
featured: 2024-10-09
citations: unknown
topic: Portfolio & Allocation
---


# Predicting Policy Funding Allocation with Machine Learning

The paper applies Machine Learning techniques to predict the beneficiaries of EU development funding in Italy, providing insights into fund allocation and aiding in policy design.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4978681
- Identifier: SSRN 4978681
- Released: 2024-10-07
- First featured: Quant Letter No. 69 (2024-10-09): https://www.ml-quant.com/issues/2024-10-09/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation

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