Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP

Ana Galvao and James Mitchell

Economic Statistics Centre of Excellence (ESCoE) Discussion Papers from Economic Statistics Centre of Excellence (ESCoE)

Abstract: Economic statistics are commonly published without any explicit indication of their uncertainty. To assess if and how the UK public interpret and understand data uncertainty, we conduct two waves of a randomized controlled online experiment. A control group is presented with the headline point estimate of GDP, as emphasized by the statistical office. Treatment groups are then presented with alternative qualitative and quantitative communications of GDP data uncertainty. We find that most of the public understand there is uncertainty inherent in official GDP numbers. But communicating uncertainty information improves understanding. It encourages the public not to take estimates at face-value, but does not decrease trust in the data. Quantitative tools to communicate data uncertainty – notably intervals, density strips and bell curves – are especially beneficial. They reduce dispersion of the public’s subjective probabilistic expectations of data uncertainty, improving alignment with objective estimates.

Keywords: data revisions; data uncertainty; uncertainty communication (search for similar items in EconPapers)
JEL-codes: C82 D80 E01 (search for similar items in EconPapers)
Date: 2021-06
New Economics Papers: this item is included in nep-big, nep-exp and nep-mac
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Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Communicating Data Uncertainty: Multiwave Experimental Evidence for UK GDP (2024)
Working Paper: Communicating Data Uncertainty: Multi-Wave Experimental Evidence for UK GDP (2022)
Working Paper: Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:nsr:escoed:escoe-dp-2021-06

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