Latest Articles for Economics

A method for merging various forecasts into a single accurate prediction.

Explore how quadratic operators influence changes in various systems over time.

Automated pricing may lead to unexpectedly high prices without direct collusion.

This guide reviews methods for predicting stock prices in India using various models.

A new method for measuring inequality across multiple factors offers deeper insights.

A new approach to understanding behavior in complicated systems using deformed statistics.

This article discusses the significance of DDEs and FDEs in modeling dynamic systems.

Examining how international trade relations adapted during the COVID-19 pandemic.

A new model enhances analysis of sample selection bias in various fields.

Control systems adjust behaviors in various fields, addressing uncertainties and optimizing performance.

Learn about DeFi and the challenges of Maximal Extractable Value.

Accelerated Deferred Acceptance enhances efficiency in matching markets, reducing proposals and speed.

An introduction to differential equations and their significance in various fields.

Combining existing ideas leads to effective business innovation.

Study reveals insights on stock price predictions using deep learning techniques.

Two scoring systems promote truthful forecasting and prevent expert collusion.

Learn effective strategies for pricing and inventory under demand uncertainty.

A look into Bayesian modeling for time series data with correlated errors.

Understanding how partnerships form in uncertain situations.

A deep dive into causal effects estimation through weights and learned representations.

Examining wealth sharing and inequality in society over time.

Exploring the role of symmetry in solving difference equations and their applications.

R2N offers a flexible method for tackling complex optimization problems efficiently.

Discover the extragradient method and its role in solving optimization problems.

Research reveals insights into Markov chains, stability, and ergodicity.

This study compares various forecasting methods for energy prices in Europe.

New pricing model enhances ride-pooling for travellers and operators alike.

An overview of maximum likelihood estimators for log-concave densities and their properties.

Exploring the potential of machine learning in improving mental health services.

Uncovering reporting bias in income surveys and its implications.

An exploration of strategies in differential games and their real-world applications.

Learn how breaking down challenges can lead to better solutions in various fields.

Bifurcation analysis studies how small changes lead to different system behaviors.

An analysis of the DM test and its limitations in forecast accuracy assessment.

Explore how measures in math mirror everyday activities like spreading jam.

Explore how tiny particles reveal phase transitions through playful models and analogies.

A simple guide to semi-integral points and their significance.

New mining tactics threaten fairness in cryptocurrency mining.

Analyzing shifts in life expectancy and birth rates for better planning.

Examining how zero-sum thinking shapes voter behavior and policy decisions.