Search Results - subject:"Machine Learning"

Quantifying the economic costs of financial corruption in Pakistan : an integrated econometric and machine learning approach

Saeed, Abdelrahman Mohamed Mohamed; Husnain, Muhammad Ali; … - In: Economies : open access journal 14 (2026) 3, pp. 1-24

Forest machine learning with Leave-One-Out Cross-Validation for predictive accuracy and variable importance ranking. The … machine learning analysis corroborated these findings, ranking shadow economy (31.8%) and inflation (24.5%) as the dominant …

Persistent link: https://www.econbiz.de/10015628637

Returns to dducation in the United States : a comparison of OLS and Double Machine Learning methods

Helal, Al Mansor; Hiraki, Ryotaro; Patrinos, Harry Anthony - 2026

Squares (OLS) regression with a Double Machine Learning (DML) framework incorporating models such as random forests, boosted …

Persistent link: https://www.econbiz.de/10015632096

Measuring inequality of opportunity in Asia and the Pacific

Datt, Gaurav; Nguyen, John; Salas-Rojo, Pedro; … - 2026

Persistent link: https://www.econbiz.de/10015633032

Estimating treatment effects with limited exogeneity : a machine learning approach to selection bias

Sun, Rui; Chen, Shiyi - In: International studies of economics 21 (2026) 1, pp. 2-8

the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a …

Persistent link: https://www.econbiz.de/10015633562

Artificial intelligence applications and financial forecasting accuracy in banking platforms : evidence from Jordan

Alassuli, Abdalla; Eltweri, Ahmed; Thuneibat, Nawaf Samah; … - In: Administrative Sciences : open access journal 16 (2026) 3, pp. 1-28

AI applications, including expert systems (ES), machine learning (ML), and Robotic Process Automation (RPA), which … forecasting accuracy, with machine learning and RPA showing relatively stronger effects. Expert systems were found to support …

Persistent link: https://www.econbiz.de/10015633618

AI-driven financial solutions for climate resilience and geopolitical risk mitigation in low- and middle-income countries

Saeed, Abdelrahman Mohamed Mohamed; Ali, Muhammad - In: Economies : open access journal 14 (2026) 4, pp. 1-30

Climate change disproportionately threatens low- and middle-income countries, yet integrated assessments combining socio-economic fragility with physical hazards remain limited. This study quantifies multi-dimensional climate vulnerability and derives optimized adaptation policies for six...

Persistent link: https://www.econbiz.de/10015633829

From prediction to insight : understanding drivers of UK tourism demand with machine learning

Dimitriadou, Athanasia; Papadimitriou, Theophilos; … - In: Economies : open access journal 14 (2026) 4, pp. 1-24

2020. In the empirical analysis, we evaluate and compare the performance of five machine learning models (decision trees …

Persistent link: https://www.econbiz.de/10015633850

Exploring the complementarity between traditional econometric methods and machine learning : an application to adoption and disadoption of conservation practices

Du, Zhushan; Feng, Hongli; Arbuckle, J. - In: Applied economics 58 (2026) 5, pp. 1005-1020

Persistent link: https://www.econbiz.de/10015633939

AI-driven bankruptcy prediction in manufacturing SMEs : comparing machine learning techniques with logistic regression

Letkovský, Stanislav; Jenčová, Sylvia; … - In: Administrative Sciences : open access journal 16 (2026) 3, pp. 1-41

. Logistic Regression (LR) is one of the standard prediction tools; however, with advances in technology, machine learning (ML …

Persistent link: https://www.econbiz.de/10015634019

Open dumps and the global trade in garbage

Gordon, Matthew; Papp, Anna - 2026

Persistent link: https://www.econbiz.de/10015614028