Uncovering the heterogeneous effects of depression on suicide risk conditioned by linguistic features: A double machine learning approach

S Li, W Pan, PSF Yip, J Wang, W Zhou, T Zhu - Computers in Human …, 2024 - Elsevier
Depression has been identified as a risk factor for suicide, yet limited evidence has
elucidated the underlying pathways linking depression to subsequent suicide risk …

Priority Needs for Facilities of Office Buildings in Thailand: A Copula-Based Ordinal Regression Model with Machine Learning Approach

J Sriboonjit, J Singvejsakul, W Yamaka, S Thongkairat… - Buildings, 2024 - mdpi.com
In the rapidly evolving business landscape of Thailand, the design and facilities of office
buildings play a crucial role in enhancing employee satisfaction and productivity. This study …

Poverty, inequality and development studies with machine learning

W Sosa-Escudero, MV Anauati, W Brau - Econometrics with Machine …, 2022 - Springer
This chapter provides a hopefully complete 'ecosystem'of the literature on the use of
machine learning (ML) methods for poverty, inequality, and development (PID) studies. It …

[PDF][PDF] Is the Federal Reserve causing funds to underperform?

O Serenhov, WT Leite - 2022 - lup.lub.lu.se
Macroeconomic conditions heavily influence financial markets, and the leading corpus of
theory in the field lays out some general principles observed by investors and asset …

[PDF][PDF] Talent Management and Firms' Sales: Seeking Causality with a Debiased Machine Learning Approach

A Gambardella - thesis.eur.nl
This research investigates the existence of a causal effect of the quality of talent
management practices on sales performance. Insights into talent management practices are …