Bank of England: How Machine Learning Uses Surveys & News to Predict the Economy (Explained) episode artwork

EPISODE · Apr 5, 2026 · 6 MIN

Bank of England: How Machine Learning Uses Surveys & News to Predict the Economy (Explained)

from AI Economics Research Podcast

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 traditional surveys to text-based indicators from news articles, to predict economic activity. Discover which models and data combinations yield the most accurate predictions and why the biggest gains are often seen in the short term. This episode explains a real academic paper in plain English for a general audience. Source paper: https://www.bankofengland.co.uk/-/media/boe/files/working-paper/2021/forecasting-uk-gdp-growth-with-large-survey-panels.pdf Keywords: Forecasting, Machine Learning, Macroeconomics, Big Data, Economic Prediction, Central Banking

Episode metadata supplied by the publisher feed · Published Apr 5, 2026

Embed this episode

NOW PLAYING

Bank of England: How Machine Learning Uses Surveys & News to Predict the Economy (Explained)

0:00 6:50

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of AI Economics Research Podcast?

This episode is 6 minutes long.

When was this AI Economics Research Podcast episode published?

This episode was published on April 5, 2026.

Can I download this AI Economics Research Podcast episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!