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Official Statistics Using Admin Data

This article explores the history and current use of admin data for official statistics. It discusses the challenges faced, such as data quality issues, and the need for granular-level data.

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Official Statistics Using Admin Data

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  1. Official Statistics Using Admin Data Neil McIvor Deputy Director Statistical Services Division 5th December 2014

  2. DWP History of Using Admin Data for Statistics Data collected for purely statistical purposes - police recorded crime Data collected as a by product of an operational system - benefits data Mid 90’s – DWP used 1% then 5% samples of admin data Early 00’s – stated publishing stats using 100% admin data 2004 – stated using 100% linked OGD admin data (Work and Pensions Longitudinal Study) Currently – around 60 official and National statistics series annually using admin data (plus a few using survey data)

  3. Challanges MI is always incorrect N = all

  4. Challanges MI is always incorrect N = all +  Where = erroneous records

  5. Challanges MI is always incorrect N = all +  -  Where = erroneous records  = records you think are covered but aren’t Garbage in = garbage out Need to understand behavioural motivations of data inputters Need to get granular level data to triangulate with other sources

  6. PIPCS

  7. Claim Process Demo-graphic Claim Detail Claim Status Claim Length Office Clear-ance Time Benefit Centre Out-standing Time Elapsed Time Person PIP Person Claim Bridge Claim Fact Person Claim Start Reg-istration Clear-ance On-Flow Off-Flow Cust Primary Postcode Claim End Date Grain: 1 row per Claim

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