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Hosted by AI Economist · 🇺🇸 US · EN · 31 episodes
Established thought leaders with verified media credentials.
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.
AI Economist hosts AI Economics Research Podcast, a education show with 31 episodes published.
This episode unpacks a Bank of England staff working paper by Jamie Lenney and Biagio Rosso, exploring how economic models can better reflect real-world human behavior. We dive into a new flexible approach that moves bey
This episode dives into a Bank of England research paper by Eric Tong and Rennae Cherry, titled "Central bank communications that reach the public." We explore how central bank messages, as encountered through news media
This episode breaks down a new Bank of England research paper that explores how rapid innovation in digital payments and new private digital monies challenge the idea that all money should trade at par—a concept known as
This episode dives into a Federal Reserve Bank of New York Staff Report that uses big data from foot traffic to uncover hidden demand shocks affecting businesses in New York City. We explore how retail, service, and heal
This episode dives into a new Bank of England research paper exploring whether Large Language Models like GPT-3.5 Turbo can form inflation perceptions and expectations similar to human households. Using a clever quasi-ex
This episode breaks down a research paper from the Federal Reserve Bank of St. Louis, exploring whether different measures of the money supply are useful for forecasting US inflation. Using advanced non-linear techniques
This episode dives into a Federal Reserve Bank of St. Louis research paper asking a crucial question: Do monetary aggregates actually help forecast inflation? We break down the paper's novel approach using neural network
This episode dives into a Federal Reserve Bank of St. Louis research paper that examines how to make economic forecasts more accurate, particularly in an environment of structural change. We break down how combining "rec
This episode delves into an OECD research paper that challenges conventional wisdom on forecasting recessions. We explore how a "wisdom of crowds" approach, averaging predictions from multiple simple models, can be as ef
This episode explains a Bank of England Staff Working Paper, "Non-standard errors," by Albert J Menkveld et al., exploring how variations in researcher choices introduce significant "non-standard errors" into scientific
This episode dives into a Federal Reserve Bank of New York Staff Report that explores a critical challenge in information disclosure: how to ensure a sender, like a bank regulator, can truly commit to a disclosure rule w
This episode breaks down a new Bank of England research paper that explores how economic cycles, like recessions, impact the stability of earnings for UK households. It reveals that during downturns, negative income shoc
This episode breaks down a recent Bank of England working paper, exploring the best econometric methods for accurately estimating structural parameters in complex economic models. We demystify Local Projections (LP) vers
This episode delves into a groundbreaking research paper from the Bank for International Settlements, exploring how artificial intelligence is being harnessed to monitor and predict financial market stress. We break down
This episode delves into a Bank of England research paper exploring how machine learning is being applied in central banking and policy analysis. We break down complex AI concepts into plain English, showing how tools li
This episode dives into a new Bank for International Settlements (BIS) research paper investigating Artificial Intelligence (AI) adoption across European firms. Learn how AI boosts labor productivity by 4% without displa
This episode delves into a new research paper from the Bank for International Settlements, exploring how the lightning speed of high-frequency trading (HFT) influences the cost of capital for companies. We uncover how HF
This episode breaks down a Bank of England research paper that significantly improves economic forecasting methods. It explains how economists use advanced statistical models, factor augmentation, and account for asymmet
This episode breaks down a Bank of England Staff Working Paper, explaining how economists use advanced statistical models called Bayesian Vector Autoregressions (VARs). Discover how these powerful tools help central bank
This episode dives into a Bank of England Staff Working Paper exploring how machine learning techniques can enhance macroeconomic forecasting. We break down the paper's findings on using diverse data sources, from tradit
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AI Economics Research Podcast is hosted by AI Economist. The show is categorised under education and has published 31 episodes.
AI Economics Research Podcast has published 31 episodes.
AI Economics Research Podcast regularly covers education. It sits in the education category.
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Episodes of AI Economics Research Podcast average 7 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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