Assessing Agricultural Support Policy Impact through Traditional versus Machine-Learning Techniques
This paper analyses the impact of agricultural subsidies using traditional quasi-experimental research design that combines genetic matching procedure with regression analysis and causal forests, an adaptation of the random forest algorithm of Breiman (2001) for treatment effect estimation. The stud...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
FrancoAngeli
2025-11-01
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| Serier: | Economia Agro-Alimentare |
| Fag: | |
| Online adgang: | https://journals.francoangeli.it/index.php/ecagoa/article/view/19419 |
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