Background Difference-in-differences is a method commonly used in population health research. It is based on assumptions that ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...

This repository contains a dataset of labeled images for fixed-wing UAVs (Unmanned Aerial Vehicles), which was trained using YOLOv5. The dataset is suitable for object detection tasks and can be ...

Two-way fixed effects (TWFE) estimation is the dominant approach for causal inference with panel data. However, recent research shows that standard TWFE can produce biased estimates when treatment ...

Economists often rely on estimates of linear fixed effects models developed by other teams of researchers. Assessing the uncertainty in these estimates can be challenging. I propose a form of sample ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

The advent of widely available cell phone mobility data in the United States has rapidly expanded the study of everyday mobility patterns in social science research. A wide range of existing ...

Tropical Storm Humberto and Invest 94L could merge in the Atlantic, potentially sparking a rare Fujiwhara effect forecasters say could considerably alter a storm's track, with communities unaware a ...

Behavioral economists note that spending increases when asset values rise, known as the wealth effect. Housing asset increases often trigger a stronger wealth effect than stock market surges.

The US Agency for International Development (USAID) is the largest funding agency for humanitarian and development aid worldwide. The aim of this study is to comprehensively evaluate the effect of all ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...