Explore mathematical economics—a method utilizing quantitative tools and models for economic theory analysis. Learn its ...

Learn about econometrics, including how it uses statistical models and data analysis to test economic theories, forecast ...

Spatial econometrics extends traditional panel data analysis by accounting for spatial dependencies and spillover effects across geographic units. These tutorials cover the theoretical foundations, ...

This directory contains the 4 tutorial notebooks for the Panel Data Diagnostics series. Each notebook is self-contained with explanations, worked examples, and exercises. Tests whether panel data ...

Large language models (LLMs) enable researchers to analyze text at unprecedented scale and minimal cost. Researchers can now revisit old questions and tackle novel ones with rich data. We provide an ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

ABSTRACT: This study investigates the impact of selected macroeconomic variables on economic growth in Nigeria using quarterly data spanning from 2000Q1 to 2022Q3. The methodology, anchored in the ...

What would a Tesla be without controversy and split opinions? The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The ...

AI black box models lack transparency, making investment decisions unclear. White box models are slower but clarify their decision-making processes. Investors should verify AI outputs to align with ...