National accounting from the bottom up using large-scale financial transactions data: An application to input-output tables

Kerstin Hötte and Andreina Naddeo
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Andreina Naddeo: Office for National Statistics

INET Oxford Working Papers from Institute for New Economic Thinking at the Oxford Martin School, University of Oxford

Abstract: Technical advances enabled real-time data collection at a large scale, but lacking standards hamper their economic interpretation. Here, we benchmark a new monthly time series of inter-industrial flows of funds, constructed from aggregated and anonymised real-time payments between UK businesses, covering 5-digit SIC codes industries for the period 08/2015 to 12/2023, against established economic indicators, including GDP, input-output tables (IOTs), and stylised facts of granular firm- and industry-level production networks. We supplement the quantitative analyses with conceptual discussions, explaining the caveats of bottom-up collected payment data and their differences to national account tables. The results reveal strong GDP correlations, some qualitative consistency with official IOTs and stylised facts. We guide on the interpretation of the data and areas that require special attention for reliable quantitative research.

Keywords: National accounts; real-time data; payment data; economic networks; input-output table (search for similar items in EconPapers)
JEL-codes: C67 C8 D57 E01 (search for similar items in EconPapers)
Pages: 43 pages
Date: 2024-08
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Persistent link: https://EconPapers.repec.org/RePEc:amz:wpaper:2024-04

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