AI Economics Research Podcast

AI Economics Research Podcast

AI Economist

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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.

  1. 10 Oct 2026TRANSCRIPT

    Federal Reserve: How Ponzi Schemes Build Trust and Why They Unravel (Explained)

  2. 4 Oct 2026TRANSCRIPT

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

  3. 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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The show publishes daily, based on its RSS feed.

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