AI Economics Research Podcast
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 health establishments experience highly varied and unpredictable changes in customer demand, challenging traditional economic assumptions. Hear the plain English explanation of this cutting-edge research and share your thoughts at feedback@econpod.org. This episode explains a real academic paper in plain English for a general audience. Source paper: NO. 1191 Shocks from Foot Traffic Marina Azzimonti | David Wiczer | Yang Xuan - Federal Reserve Bank of New York Staff Reports https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr1191.pdf?sc_lang=en Keywords: Foot Traffic, Demand Shocks, Retail Economics, Service Sector, Big Data, Economic Forecasting
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