Unlike correlation-based methods, which are widely understood and now relatively easy to implement, causal models demand a high level of expertise. Arguably, only a select group of experts can ...

TIMES is the title of the international team's project, which is an acronym for "Time Integrated Matrix for Earth Sciences." ...

Using a regression discontinuity approach, we uncover three findings: (1) Higher benefit levels distort employment more than benefit extensions. (2) Benefit durations and levels interact: Longer ...

Prior Labs secures $9.3 million in 'preseed' funding to build foundation models for handling this common, but complex data ...

Ever notice how much more tempting it is to pick up fast food for dinner after being stuck in traffic? It's not just you. New research shows that traffic delays significantly increase visits to fast ...

Brian Chen, Kevin Hayes, Sean Rhee, and Marko Veljanovski made significant contributions to undergraduate research projects.

An interview with Glenn Saxe, computational psychiatrist, on the limitations of our current diagnostic system, and how causal ...

Understanding is often defined as the ability to form mental models of the world, reason about cause and effect, and predict ...

Our setting is dividend recapitalizations in private equity (PE), where portfolio companies take on new debt to pay investor returns. After accounting for positive selection into more debt, we show ...