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Availability, infrastructure, Use and Reuse of Administrative Data in Statistics Production  --  a Scandinavian Example. Folke Carlsson and Anders Holmberg R&D Department Statistics Sweden E-mail: firstname.lastname@scb.se. Outline. Why administrative data sources? Historical background

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slide1

Availability, infrastructure, Use and Reuse of Administrative Data in Statistics Production -- a Scandinavian Example

Folke Carlsson and Anders Holmberg

R&D Department Statistics Sweden

E-mail: firstname.lastname@scb.se

outline
Outline
  • Why administrative data sources?
    • Historical background
    • Prerequisites
      • Cooperation
      • Legislation
      • Methodology and quality
    • Future Development ideas
the strengths of administrative registers
The Strengths of Administrative registers
  • No extra response burden
  • Reduced costs (dramatically)
  • Good coverage of units
  • Data for every year
  • In some cases good quality
  • Opportunities for regional statistics and longitudinal studies
history
History
  • 1749 first Swedish census
  • Unified PIN 1947/BIN 1975
  • Centralisation of statistics 60:ies
  • Main frame late 60
  • Development during a long period see

” Register-based statistics in the Nordic countries – Review of best practices with focus on population and social statisticsECE/CES/STAT/2007/2 ”

pins and bins the base for the register system7
PINS and BINS – the base for the Register System
  • BIN Introduced 1975

BIN=registrationsnumber+check

2021000837

  • PINS and BINS are widely used and accepted
cooperation with data suppliers
Cooperation with data suppliers

Swedish Tax administration

Data delivered continuously on

daily, monthly, quarterly and yearly bases.

Political and administrative decisions can affect statistics directly

Ex. Wealth tax was abolished in 2007

Wealth statistics need to be collected in a different way

Important

slide9

Statistics Legislation

  • 1974 first Personal Data Act
        • Protection of personal integrity
        • Notification of personal data processing to Data Inspection Board
        • Right to register extracts free of charge, on request
        • Regulations on damages, penalties and fines in the case of infringements of the general provisions of the Act
  • Data Inspection Board
  • During 80-ties (Census 1985)
    • Big brother debate
    • ”I don't want my name in a computer”
  • Today

- Why asking when ”you” already have that information

statistics legislation
Statistics Legislation
  • The Official Statistics Act
  • Rules applying to the official statistics regarding:
    • Purpose
    • Availability
    • Objectivity
    • Protection of information
    • Obligation to provide information
the secrecy act
The Secrecy Act
  • The personal and economic circumstances of respondents are protected. Reasons for confidentiality:
    • Protection of personal integrity
    • Public confidence in Statistics Sweden
    • Data requirements for the statistics

Public information can be protected by The Secrecy Act

when they come to Statistics Sweden

examination of confidentiality
Examination of confidentiality
  • Data may be released after examination in accordance with Chapter 9, Section 4 of the Secrecy Act in the following cases:
    • research purposes
    • statistical purposes
    • anonymised data (unidentifiable)
standardised population
Standardised population

Standardised population f. ex pop 31 dec

Administrative Source

Statistical register

Administrative Source

Statistical register

Administrative Source

Statistical register

dependence between surveys and registers
Dependence between surveys and registers

Ex. Labour Market statistics based on both Surveys and registers

  • LFS use income verifications as auxiliary information
  • Register based labour market statistics use LFS to calibrate rules to decide employment/unemployment
the system of statistical registers consists of
The system of statistical registers consists of:
  • Basic registers - important object sets
  • Other statistical registers - important variables
  • Linkages between objects in different basic registers. Linkages between basic registers and statistical registers
  • Standardised variables (fundamental variables)
  • Register-statistical methods, quality assurance
  • Metadata
  • IT-tools for register processing
  • Rules for protecting integrity
slide19

Statistics Sweden’s system of registers

Causes of Death Register

Supplementary Benefits Register

Vehicles – privately owned

Register of Criminal Convictions

Education RegisterEmployment Register

Population and Housing Census

Personal Income and Assets

Persons Nominated and Elected

Longitudinal Income Register (Linda)

Longitudinal Register (Louise)

Multi-Generation Register

Fertility Register

Swedish for Immigrants

Adult Education

Upper Secondary School

9th Form Register

Teacher Register

Higher Education Register

Persons Enrolled in Education

Education-Labour Market Register

Income Statements

Private Sector Employees, wages

County Council Employees, wages

Parish Employees, wages

Local Authority Employees, wages

Civil Service, wages

Occupational Register

Register

of Jobs and

Activities

Population

Register

Business Income

Demography of Enterprises

Payrolls, number of employees

Standardised Accounts

Monthly Tax Returns

Manufacturing

VAT Register

Foreign Trade Register

Vehicles – company owned

Agricultural Enterprises Register

Register of Schools

Geographical Database

Real Estate Price Register

Renovation Register

New Construction Register

One or Two Dwelling Buildings

Multi-Dwelling Buildings

Industrial Real Estate

Agricultural Real Estate

Valued Estate Units

Real Estate

Register

Business

Register

slide20

All other registers are linked to the basic Basic Registers:Population-, Activity-, Real Estate- and Business RegisterThe same Pin, Bin (Lu id), R E id and D id are used in all registers

PIN

BIN

PIN

PIN

BIN

BIN

towards a system
Towards a system

Metadata

Metaplus identified today 62 700 variables

but only 13 500 unique variables

A lot of variables are used over again

metaplus contents
MetaPlus - Contents
  • Standard variables
  • Variables
  • Object classes
  • Classifications and value domains
  • Registers created and used
  • Population
slide23

Statistics Sweden’s system of registers

Causes of Death Register

Supplementary Benefits Register

Vehicles – privately owned

Register of Criminal Convictions

Education RegisterEmployment Register

Population and Housing Census

Personal Income and Assets

Persons Nominated and Elected

Longitudinal Income Register (Linda)

Longitudinal Register (Louise)

Multi-Generation Register

Fertility Register

Swedish for Immigrants

Adult Education

Upper Secondary School

9th Form Register

Teacher Register

Higher Education Register

Persons Enrolled in Education

Education-Labour Market Register

Income Statements

Private Sector Employees, wages

County Council Employees, wages

Parish Employees, wages

Local Authority Employees, wages

Civil Service, wages

Occupational Register

Register

of Jobs and

Activities

Population

Register

Business Income

Demography of Enterprises

Payrolls, number of employees

Standardised Accounts

Monthly Tax Returns

Manufacturing

VAT Register

Foreign Trade Register

Vehicles – company owned

Agricultural Enterprises Register

Register of Schools

Geographical Database

Real Estate Price Register

Renovation Register

New Construction Register

One or Two Dwelling Buildings

Multi-Dwelling Buildings

Industrial Real Estate

Agricultural Real Estate

Valued Estate Units

Real Estate

Register

Business

Register

3 spheres of interest

BR-Prod

system

FDB

RSV

PR

Yearversion

+

variables

SKD

BR

yearversion

+

variables

SRU

PR-Prod

system

KU

FTR

FR

yearversion+Variables

RE-Prod

system

3 Spheres of Interest
slide25

SIL

SIL

Text

SQL

SIL

From stovepipes to IDW

M e t a d a t a

Baseregister

SSD

SUL

Structured Input Datawarehouse

social statistics
Social statistics

Today Statistics Sweden make 100 000 interviews in several large surveys

The same or similar question appear in several surveys

Is it possible to coordinate these surveys and register so we are able to get more and better information? What does standardised populations offer?

economic statistics
Economic statistics

Coordinate National accounts – Business register

Business register

Survey Administrative sources

National Accounts

quality documentation with focus on variables instead of registers

t

Quality documentation with focus on Variables instead of Registers

SCBDOK

BAS

Analysis

product

MDS

Wizard

Indicators

BAM

RE

GI

ST

ER

experiences
Use administrative data – It definitely has a lot of advantages

Patience – It takes time before it is time to harvest and there are risks, learn from other’s mistakes, benchmark.

Don’t use administrative data as they are – combine sources, create new objects and new variables

Build ONE system – not one for social statistics and one for economic statistics

The system should be flexible – a register is not for one use. A new field to investigate – select an appropriate object set and appropriate variables from the system and create new variables

Good keys are the key to a good system

Metadata – Good metadata is an insurance against huge errors – definitions changes etc. You must know what you compare! It is also the key to efficiency in a statistical production system.

Never forget protection of integrity

Experiences
thank you

Thank You!

Folke Carlsson and Anders Holmberg

firstname.surname@scb.se