
- 43
- Episodes
- 17
- Transcribed
- Daily
- Cadence
- 2026
- First episode
About AI Economics Research Podcast
A podcast where AI hosts explain central bank and economics research papers. Each episode breaks down academic work in a clear conversational format, covering monetary policy, inflation, forecasting, macroeconomics, and financial stability.
- Publisher
- AI Economist
- Category
- education
- Language
- en
- Explicit
- No
- First episode
- 14 Mar 2026
- Latest episode
- 10 Oct 2026
Latest episodes
17 of 43 episodes have a transcript.

10 Oct 2026TRANSCRIPT
Federal Reserve: How Ponzi Schemes Build Trust and Why They Unravel (Explained)

4 Oct 2026TRANSCRIPT
Federal Reserve: How Survey Wording Changes What We Know About Consumer Spending (Explained)

25 Sept 2026TRANSCRIPT
Bank of England: When Inflation Indexes Misguide Monetary Policy (Explained)
Inside a recent episode

Federal Reserve: How Ponzi Schemes Build Trust and Why They Unravel (Explained)
Published 10 Oct 2026 · Transcript excerpt
[…] The model offers insights into which interventions are more likely to deter these frauds. We've mentioned the low probability of detection being crucial. Does that translate directly into a policy recommendation? It does. The paper finds that stronger enforcement, meaning a higher probability of detection through investigations, is more effective in ruling out Ponzi equilibria than investor education. That's a really interesting and perhaps counterintuitive policy takeaway for some. Why would education be less effective? Because investors are already somewhat sceptical, as we discussed. They're not necessarily ignorant of the risks, but they're willing to take them if they believe the imposter can keep the scheme afloat long enough for them to profit. […]
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Based on episode analysis; this does not confirm that the show is currently accepting guests.
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The show publishes daily, based on its RSS feed.
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