Statistical challenges of administrative and transaction data by David J. Hand (page 588)

Research output: Contribution to journalBook/Film/Article reviewAcademic

Abstract

Administrative data are becoming increasingly important. They are typically the side effect of some operational exercise and are often seen as having significant advantages over alternative sources of data. Although it is true that such data have merits, statisticians should approach the analysis of such data with the same cautious and critical eye as they approach the analysis of data from any other source. The paper identifies some statistical challenges, with the aim of stimulating debate about and improving the analysis of administrative data, and encouraging methodology researchers to explore some of the important statistical problems which arise with such data.

Original languageEnglish
Pages (from-to)555-605
JournalJournal of the Royal Statistical Society Series A-Statistics in Society
Volume181
Issue number3
DOIs
Publication statusPublished - Jun 2018

Keywords

  • 'Big data'
  • Data quality
  • Management data
  • Operational data
  • Repurposed data
  • DISCLOSURE
  • INFERENCE
  • SELECTION
  • ONLINE

Cite this

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title = "Statistical challenges of administrative and transaction data by David J. Hand (page 588)",
abstract = "Administrative data are becoming increasingly important. They are typically the side effect of some operational exercise and are often seen as having significant advantages over alternative sources of data. Although it is true that such data have merits, statisticians should approach the analysis of such data with the same cautious and critical eye as they approach the analysis of data from any other source. The paper identifies some statistical challenges, with the aim of stimulating debate about and improving the analysis of administrative data, and encouraging methodology researchers to explore some of the important statistical problems which arise with such data.",
keywords = "'Big data', Data quality, Management data, Operational data, Repurposed data, DISCLOSURE, INFERENCE, SELECTION, ONLINE",
author = "{van den Brakel}, Jan",
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volume = "181",
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journal = "Journal of the Royal Statistical Society Series A-Statistics in Society",
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Statistical challenges of administrative and transaction data by David J. Hand (page 588). / van den Brakel, Jan.

In: Journal of the Royal Statistical Society Series A-Statistics in Society, Vol. 181, No. 3, 06.2018, p. 555-605.

Research output: Contribution to journalBook/Film/Article reviewAcademic

TY - JOUR

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N2 - Administrative data are becoming increasingly important. They are typically the side effect of some operational exercise and are often seen as having significant advantages over alternative sources of data. Although it is true that such data have merits, statisticians should approach the analysis of such data with the same cautious and critical eye as they approach the analysis of data from any other source. The paper identifies some statistical challenges, with the aim of stimulating debate about and improving the analysis of administrative data, and encouraging methodology researchers to explore some of the important statistical problems which arise with such data.

AB - Administrative data are becoming increasingly important. They are typically the side effect of some operational exercise and are often seen as having significant advantages over alternative sources of data. Although it is true that such data have merits, statisticians should approach the analysis of such data with the same cautious and critical eye as they approach the analysis of data from any other source. The paper identifies some statistical challenges, with the aim of stimulating debate about and improving the analysis of administrative data, and encouraging methodology researchers to explore some of the important statistical problems which arise with such data.

KW - 'Big data'

KW - Data quality

KW - Management data

KW - Operational data

KW - Repurposed data

KW - DISCLOSURE

KW - INFERENCE

KW - SELECTION

KW - ONLINE

U2 - 10.1111/rssa.12315

DO - 10.1111/rssa.12315

M3 - Book/Film/Article review

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JO - Journal of the Royal Statistical Society Series A-Statistics in Society

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