---
title: Machine Learning for Political Firm Identification
url: https://www.ml-quant.com/papers/repec/bla-obuest-v-86-y-2024-i-1-p-137-155/
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: RePEc:bla:obuest:v:86:y:2024:i:1:p:137-155
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1111%2Fobes.12586%3Bh%3Drepec%3Abla%3Aobuest%3Av%3A86%3Ay%3A2024%3Ai%3A1%3Ap%3A137-155
featured: 2024-01-09
citations: unknown
topic: ML & AI Methods
---


# Machine Learning for Political Firm Identification

Machine learning is used to identify politically connected firms in Czechia with 85% accuracy, suggesting its use in detecting conflicts of interest.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1111%2Fobes.12586%3Bh%3Drepec%3Abla%3Aobuest%3Av%3A86%3Ay%3A2024%3Ai%3A1%3Ap%3A137-155
- Identifier: RePEc:bla:obuest:v:86:y:2024:i:1:p:137-155
- Released: 2024-01-09
- First featured: Quant Letter No. 32 (2024-01-09): https://www.ml-quant.com/issues/2024-01-09/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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