Can Artificial Intelligence Forecast Treatment Effects in Economics?
Original Report
I use LLMs to forecast treatment effects of research studies pre-registered on the AEA RCT Registry and the Open Science Framework. I focus on studies whose results were first publicly released in...
I use LLMs to forecast treatment effects of research studies pre-registered on the AEA RCT Registry and the Open Science Framework. I focus on studies whose results were first publicly released in 2026 and elicit forecasts from models whose training or knowledge cut-off dates were before the relevant set of papers was released. First, LLM […] The post Can Artificial Intelligence Forecast Treatment Effects in Economics? appeared first on Marginal REVOLUTION.
Glass House Analysis
This story reflects the interconnected nature of modern economic systems, where developments in one sector inevitably affect others. Understanding these connections is essential for grasping how policy decisions and market movements translate into real-world outcomes for families, workers, and communities. The economy is not an abstract system of numbers—it's the sum total of decisions about who works, who prospers, and who struggles.
The implications extend beyond the immediate news cycle. Every economic development creates ripples that affect employment, prices, and opportunities in ways that may not be immediately visible but are deeply felt. By tracking these connections, we can better understand how the economy truly works—not as an abstract machine, but as a human system shaped by and shaping the lives of millions.
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