Using agents to build economic datasets
Original Report
Constructing datasets from primary sources is one of the costliest tasks in empirical economics. We propose Deep Research on a Loop (DRIL), a methodology that uses AI agents to assemble datasets from...
Constructing datasets from primary sources is one of the costliest tasks in empirical economics. We propose Deep Research on a Loop (DRIL), a methodology that uses AI agents to assemble datasets from publicly available sources. DRIL applies a fixed research instrument across a mapped unit space (e.g., countries by years), with a two-stage architecture separating […] The post Using agents to build economic datasets appeared first on Marginal REVOLUTION.
Glass House Analysis
Inflation is the silent tax that erodes purchasing power, hitting hardest those who can least afford it. When grocery bills rise faster than wages, families face impossible choices between food, medicine, and rent. Unlike market volatility that mainly affects investors, inflation touches everyone who buys groceries, fills a gas tank, or pays rent.
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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