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Released on: 06 November 2017
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Corporate Information
This is early research using administrative data to investigate the economic activity of undergraduate students in England and Wales for the academic year ending 2015. These Research Outputs are not official statistics.
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Released on: 01 November 2017
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Methodology
Investigation of the administrative data sources used in the production of short-term economic output indicators by ONS's National Accounts and Economic Statistics Group.
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Released on: 30 January 2023
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Corporate Information
Exploring two estimation approaches used to produce administrative data population estimates for 2011. These Research Outputs are not official statistics.
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Released on: 20 December 2016
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Methodology
The quality assurance undertaken on administrative data for patient register data used within Population Statistics Division (PSD) publications.
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Released on: 20 December 2016
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Methodology
The quality assurance undertaken on administrative data for NHSCR data used within Population Statistics Division (PSD) publications.
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Released on: 06 December 2016
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Methodology
CPIH is a version of CPI that includes the cost of owning, maintaining and living in one's home, this element is known as the owner occupied housing cost (OOH). This paper aims to inform users of the quality of administrative data used in OOH, due to its high impact on CPIH.
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Released on: 11 April 2019
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Methodology
Investigation of the administrative data sources used in the production of short-term economic output indicators by the Office for National Statistics' National Accounts and Economic Statistics Group.
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Released on: 16 May 2019
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Methodology
The quality assurance undertaken on administrative data for prisoner data used within Population Statistics Division (PSD) publications.
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Released on: 08 March 2018
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Corporate Information
Exploring two estimation approaches used to produce administrative data population estimates for 2011. These Research Outputs are not official statistics.
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Released on: 26 October 2022
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Corporate Information
Structural equation modelling (SEM) combines several indicators of the same measure into a latent variable that is assumed to be the “true measure”. This methodology explores how SEM can quantify the measurement error in administrative data sources, in this case floor area measured by Valuation Office Agency (VOA) and Energy Performance Certificate (EPC) data.
