AI Economics Research Podcast

Federal Reserve Bank of New York Staff Reports: Federal Reserve Bank of New York: Decoding Demand Shocks in Retail & Services with Foot Traffic Data (Explained)

7 min · 27 de jun de 2026
Portada del episodio Federal Reserve Bank of New York Staff Reports: Federal Reserve Bank of New York: Decoding Demand Shocks in Retail & Services with Foot Traffic Data (Explained)

Descripción

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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Portada del episodio Bank of England: How Central Bank Communication Shapes Public Inflation Expectations (Explained)

Bank of England: How Central Bank Communication Shapes Public Inflation Expectations (Explained)

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Portada del episodio Bank of England: Digital Money, Private Issuers, and Preserving "Monetary Singleness" (Explained)

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4 de jul de 20267 min
Portada del episodio Federal Reserve Bank of New York Staff Reports: Federal Reserve Bank of New York: Decoding Demand Shocks in Retail & Services with Foot Traffic Data (Explained)

Federal Reserve Bank of New York Staff Reports: Federal Reserve Bank of New York: Decoding Demand Shocks in Retail & Services with Foot Traffic Data (Explained)

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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Portada del episodio Bank of England: Do AI Models Share Our Inflation Attitudes? (Explained)

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