Economics

Introducing a method for better handling complex data relationships.

A structured approach to improve causal inference accuracy in observational studies.

A technique for evaluating treatment effects using observational data.

A method for improving treatment assignments to enhance social welfare in networks.

New method distinguishes between changes in economic factors and data responses.

CUSP priors improve Bayesian factor analysis by managing model complexity.

FFUDS framework boosts efficiency for on-demand service platforms.

A look at how network science impacts economics through various modeling approaches.

Effective transmission planning is critical for integrating renewable energy sources into the grid.

Improving load forecasts leads to better price predictions in energy markets.

This article examines how compute pricing influences safety in AI technologies.

A fresh approach to modeling economic behavior of households and firms with machine learning.

Investigating how diverse services impact cost efficiency in U.S. banks.

Examining how foreign investments boost local firm productivity through knowledge sharing.

This article examines how location affects company productivity and efficiency, particularly in manufacturing.

A fresh approach to understanding productivity differences among firms.

This article examines conflict behavior in networks focusing on effort strategies.

This article analyzes how consumers gather information when comparing products.

Understanding how sharing rules impact group unity and stability.

A look into cooperative games, focusing on the assignment game and core concepts.

Examining how contracts can align agents' interests amidst changing preferences.

Exploring how machine learning affects home pricing and market dynamics.

New mechanisms aim to improve participation and genuine voting in decision-making.

This article examines how companies manage information to identify strong managerial talent.