Discover how a cutting-edge AI technique called adversarial estimation is revolutionizing economic modeling, offering new insights into complex financial behaviors like elderly savings. This article explores how this method uncovers motivations that traditional approaches miss.
In an era defined by economic volatility, traditional forecasting methods often fall short. Discover how calibrated projections offer a pathway to more reliable insights and informed decision-making.
Can a temporary discount change long-term habits? Explore how learning effects, bundled goods, and smart subsidies are creating lasting impacts on public transit demand, driving ridership and reshaping urban mobility.
Explore the transformative effects of US broadband infrastructure investments on GDP, employment, and digital equity. Learn how these programs are connecting communities and creating new opportunities.
Explore the potential of deep neural networks (DNNs) in economic forecasting. Discover how a novel approach using ReLU activation functions enhances transparency, manages data dependency, and offers new tools for inference and estimation.
Uncover the hidden truths behind bubble economics, examining their origins, impacts, and the critical role of rational expectations in shaping market stability. Get insights on how to navigate the turbulent waters of financial bubbles.
Explore the principles of fair resource allocation and how these concepts affect economic stability, social equity, and cooperative endeavors.
Explore the intricate dance between buyer loyalty, seller attractiveness, and feedback mechanisms in fresh food markets. Learn how these dynamics influence price stability and market equilibrium.
Dive into the dynamics of collective decision-making. Understand how 'collective sampling' might cause groups to stop gathering information too soon, leading to suboptimal choices in committee searches, persuasion scenarios, and more.
Explore how the Federal Reserve's monetary policy has transformed in response to global crises. Discover the critical role of time-varying identification in understanding these shifts and their impact on the US economy.
