In 2025, the field of quantitative research continues to thrive, with new research findings emerging constantly. This article will focus on the recent advanced DID (Difference-in-Differences), machine ...

This article will focus on the recent cutting-edge research literature on advanced DID (Difference-in-Differences), machine learning, and Regression Discontinuity (RD), providing researchers with a ...

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

We discuss the relevance of the recent machine learning (ML) literature for economics and econometrics. First we discuss the differences in goals, methods, and settings between the ML literature and ...

Regression models predict outcomes like housing prices from various inputs. Machine learning enhances regression by analyzing large, complex datasets. Different regression types address varied data ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Development of a modern semiconductor requires running many electronic design automation (EDA) tools many times over the course of the project. Every stage, from architectural exploration and design ...