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Big Data and Official Statistics

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  • Katharine G. Abraham

Abstract

The infrastructure and methods for developed countries' economic statistics, largely established in the mid‐20th century, rest almost entirely on survey and administrative data. The increasing difficulty of obtaining survey responses threatens the sustainability of this model. Meanwhile, users of economic data are demanding ever more timely and granular information. “Big data” originally created for other purposes offer the promise of new approaches to the compilation of economic data. Drawing primarily on the U.S. experience, the paper considers the challenges to incorporating big data into the ongoing production of official economic statistics and provides examples of progress towards that goal to date. Beyond their value for the routine production of a standard set of official statistics, new sources of data create opportunities to respond more nimbly to emerging needs for information. The concluding section of the paper argues that national statistical offices should expand their mission to seize these opportunities.

Suggested Citation

  • Katharine G. Abraham, 2022. "Big Data and Official Statistics," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(4), pages 835-861, December.
    • Handle: RePEc:bla:revinw:v:68:y:2022:i:4:p:835-861
    DOI: 10.1111/roiw.12617
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    References listed on IDEAS

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    Cited by:

    1. Abe C. Dunn & Eric English & Kyle K. Hood & Lowell Mason & Brian Quistorff, 2024. "Expanding the Frontier of Economic Statistics Using Big Data: A Case Study of Regional Employment," BEA Papers 0128, Bureau of Economic Analysis.
    2. Damian Whittard & Felix Ritchie & Van Phan & Alex Bryson & John Forth & Lucy Stokes & Carl Singleton, 2023. "The perils of pre-filling: lessons from the UK's Annual Survey of Hours and Earning microdata," Economics Discussion Papers em-dp2023-11, Department of Economics, University of Reading.

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