Real-world economic data are seldom clean.
Before economists can estimate models or assess mergers, they often spend days, or even weeks, preparing confidential company data.
And with artificial intelligence, that process is changing.
In Episode 3 of the Age of AI series, we explore how AI is helping economists wrangle messy data sets, spot patterns and anomalies, and run large-scale simulations but leaving the most important decisions to human judgment.
Topics covered include:
• Why analyzing real-world business data is so difficult
• Data cleaning and preparation with AI assistance
• Identifying errors, missing values, and anomalies
• Monte Carlo simulation explained in simple terms
• Why economic judgment is still relevant
• The future of empirical analysis in merger investigations
AI makes economists more productive, not less necessary.
Building on Episodes 1 and 2, the episode illustrates how theoretical models become practical economic evidence.
Read the full article and graphic analysis:
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