How social structure influences the way people share money
A new study shows that belonging to age-based groups, common in some global regions, influences finances and health.
A new study shows that belonging to age-based groups, common in some global regions, influences finances and health.
The spending increases were particularly pronounced for businesses within 100 yards of charging stations, and for businesses in low-income areas.
Saeed Miganeh’s work at MIT is helping him answer important questions about designing effective programs for poverty mitigation and economic growth in African countries.
Historian Caley Horan studies commerce and uncertainty in modern American life.
New professors join anthropology, economics, history, linguistics, music and theater arts, and philosophy departments, as well as the Program in Science, Technology, and Society.
Shared commitment to data-driven approach will help identify new policy solutions to reduce poverty and increase economic mobility in the US.
From scallop fishing in New Bedford to deforestation in the tropics, “our goal is to get some empirical traction on the problem,” says PhD student Aaron Berman.
Project led by MIT economist Rob Townsend aims to help low- and middle-income countries assess and utilize new technologies to improve central banks’ functions.
A new study shows someone’s beliefs about an LLM play a significant role in the model’s performance and are important for how it is deployed.
The new professorship will enable continued economics scholarship and help the chairholder train and support future economists.
The MITx MicroMasters in Data, Economics, and Design of Policy program educates learners around the world using its data-driven approach to poverty alleviation.
“I would like to understand the extent to which we understand things,” the MIT economist says.
Namrata Kala’s wide-ranging research shows how climate change and other factors affect companies and their employees.
In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.
Ranking at the top for the 13th year in a row, the Institute also places first in 11 subject areas.