Latest Articles for Economics

ProbSAINT predicts used car prices while assessing uncertainty in predictions.

This article presents new filtering techniques for better economic modeling.

Analyzing how winner-pays-bid auctions stabilize seller revenue.

A look at how dynamical systems work and their applications in various fields.

This article introduces a new way to analyze economic responses to shocks.

A look into slow-fast systems and their critical transitions.

Introducing an efficient approach to solve convex-concave saddle point problems.

This paper examines the role of perturbation mappings in nonlinear programming analysis.

A new model aims to reward NFT creators over time.

New techniques improve predictions of economic trends using diverse data.

This paper examines how rising U.S. interest rates affect developing countries.

Learn how transaction fees shape the cryptocurrency landscape.

A guide to optimization, its types, challenges, and practical uses across various fields.

Rising costs threaten housing stability and health across the UK.

CGPO enhances decision-making in uncertain scenarios with mixed actions.

This article presents a new method for measuring city livability indices.

This article examines the economic viability of long-duration energy storage systems in California.

A streamlined approach to solving multi-objective optimization problems using utility functions.

Discover new methods for estimating treatment effects in research.

Explore how causality shapes our understanding and decision-making across various fields.

Learn how to improve linear regression by tackling self-selection bias.

Analyzing how hospital mergers affect patient costs and service quality.

This article examines how directed networks function and their significance in various systems.

This study presents two algorithms for accurate recovery of source terms in initial value problems.

Examining pricing strategies for effective ride-pooling services and their impact.

A new method improves causal learning despite missing data and cyclical relationships.

Examining strategic interactions in feedback Stackelberg games and their real-world applications.

Learn how k-primitivity enhances our understanding of matrix interactions and real-world applications.

PACT aims to improve carbon credits with technology and transparency.

A new model for analyzing integer-valued time series data is proposed.

This method analyzes causality in time series by focusing on quantiles.

A look into smoothing techniques for bilevel optimization and their benefits.

This method improves tracking of solutions in changing systems of equations.

A look into how player interactions shape cooperative game outcomes.

Analyzing resource allocation in competitive scenarios across various sectors.

A new method for identifying changes in compositional time series data.

A look at local correlated equilibria and their impact on player strategies.

Exploring local solutions for variational inequalities in optimization and economics.

A fresh approach to estimate treatment effects using many covariates and instruments.

Examining optimal transport and Lax-Oleinik operators for efficient resource movement.