An Exploratory Application of Machine Learning Algorithms in Estimating Net Salaries in Romania
This study explores and illustrates the potential of machine learning techniques—Random Forest, XGBoost, and neural networks (MLP)—in estimating the average net salary in Romania based on macroeconomic indicators. The dataset used covers the period 1991–2024 and is employed to train a model that int...
Saved in:
| Main Author: | Adriana Aiftincăi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editura ASE Bucuresti
2025-06-01
|
| Series: | Romanian Economic Journal |
| Subjects: | |
| Online Access: | https://rejournal.eu/sites/rejournal.versatech.ro/files/articole/2025-06-24/3779/aiftincai.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Evolution of Inflation in Romania and the Republic of Moldova from 2015 to 2020
by: Cristina FAZLI, et al.
Published: (2025-04-01) -
Türkiye'de Ekonomik Şoklar ve Krizler Bağlamında Enflasyon Öngörüsü: XGBOOST ve ARMA Yöntemlerinin Karşılaştırması
by: Savaş Gayaker
Published: (2024-12-01) -
Constitutionality issues within the taxation of salaries in Serbia
by: Kostić Svetislav V.
Published: (2018-01-01) -
STRUCTURAL DISPARITIES OF HUMAN RESOURCES IN THE HOSPITALITY INDUSTRY IN ROMANIA
by: Ioana JOSAN, et al.
Published: (2024-12-01) -
What contributes to consumer price inflation? A novel decomposition framework with an application to Austria
by: Martin Schneider
Published: (2025-01-01)