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Business Surveys Integration Project

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Develop world class integrated portfolio of business surveys ... CSPI. Earnings monthly (MWSS) PENSIONS REP. Financial sector. surveys FDI. KEY. Business Surveys ... – PowerPoint PPT presentation

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Title: Business Surveys Integration Project


1
Business Surveys Integration Project
NS Economy TWG26 April 2005
  • Martin BrandDirectorDesigning Sources
  • ONS

2
Objectives of business surveys redesign
  • Develop world class integrated portfolio of
    business surveys
  • Better quality, more coherent and reliable
  • More flexible and responsive service
  • Increased value for money
  • Use admin data to minimise compliance costs to
    businesses
  • Respond to key recommendations of Allsopp Review
    incl regional outputs

3
Future vision of business data sources
MBS monthly ?quarterly
BRES annual
BOS annual or quarterly
ABS annual
100 strata Core GVA variables (ABI/2 short
form) Filter questions
Detailed components (ABI/2 long form)
purchases (PI) products/services (PRODCOM, SERV
COM) Capex Inventories
Turnover (MIDSS, MPI, RSI) Inventories? Capex?
Profits? (QPI) Employment? (MIDSS, MPI, RSI,
GAPS, QLA)
LU employment business structure (BRS) annual
employment (ABI/1)
New policy demands ad hoc demands
E-commerce
R D
ITIS
Sampled strata Core GVA variables (ABI/2 short
form) Filter questions
Detailed components (ABI/2 long form)
E-commerce
PAYE employment
VAT turnover
R D
Purchases (PI)
NES REP Earnings hours annual (ASHE)
PRICES REP Prices - monthly or quarterly RPI
PPI EPI IPI CSPI
PENSIONS REP Financial sector surveys FDI
Products/services (PRODCOM, SERVCOM)
ITIS
Earnings monthly (MWSS)
Capex
?FSA data
Inventories
KEY
Business Surveys Integration Project
Admin data source
COTAX company acounts self-employed self
assessment
Integration subproject
ABC
Existing survey
REP
4
Business Surveys Integration Project (BSIP)
  • Three proposed elements
  • Business Register and Employment Survey BRES
  • Monthly Business Survey MBS
  • Annual Business Survey Regional ABS(R)

5
BRES - Purpose, assumptions, and benefits
  • Purpose maintain LU data on IDBR and support
    regional estimation, and provide annual estimates
    of employment
  • (at present, ABI/1 collects employment at co
    level, BRS collects for sites)
  • Issues
  • not yet clear how far integration will be
    possible
  • develop in parallel with IDBR re-eng
  • Assumption expanded sample to improve regional
    level register data

6
BRES - Purpose, assumptions, and benefits
  • Statistical benefits
  • essential support to IDBR to enable good quality
    regional (and subregional) level outputs
  • improve efficiency of production of employment
    estimates
  • improve timeliness of IDBR employment data, hence
    improve accuracy of survey outputs
  • more robust and accurate national and regional
    annual employment estimates.

7
MBS - Purpose, assumptions and benefits
  • Purpose collect monthly turnover from all
    sectors and possibly monthly/quarterly employment
    and/or inventories etc.
  • Issues
  • sample expansion to support early estimates of
    annual regional GVA
  • admin data already available, can offset
    compliance rise
  • topic coverage needs to be agreed for integrated
    design
  • Assumptions double sample size 25 admin data
    initially possible to obtain/model regional
    data of satisfactory quality

8
MBS - Purpose, assumptions and benefits
  • Statistical benefits
  • improve efficiency through sample optimisation
    and improved methodology
  • improved regional level outputs of sufficient
    quality to support policy needs
  • improve efficiency and quality of monthly indices
    of production and distribution
  • minimise increase in data collection and business
    compliance costs.

9
ABS - Purpose, assumptions and benefits
  • Purpose replace ABI(2), to meet needs for annual
    business data for GDP and GVA estimates, to
    produce regional and national data
  • Issues
  • assumed 2 stages (i) better estimation and
    sample expansion for regional estimates ABS(R)
    (ii) full modular design later
  • admin data not yet available so very high
    processing and compliance costs in medium term
  • Assumptions triple sample size no admin data
    initially

10
ABS - Purpose, assumptions and benefits
  • Statistical benefits
  • - ABS (R)
  • improved regional level outputs of sufficient
    quality to support policy needs for regional
    accounts at NUTS1
  • - Full ABS
  • improved manuf/services balance
  • reductions in collection/compliance costs
    eventually

11
Dependencies, timing and resources
  • Dependencies
  • BRES depends on IDBR re-eng (and vice versa)
  • MBS and ABS depend on BRES and IDBR re-eng
  • MBS and ABS need to be consistent.
  • Resource constraints
  • funding (ONS Board considering Option 4)
  • ONS staff, especially MG
  • business compliance costs, especially small and
    medium businesses.
  • Other timing issues
  • other modernisation work
  • SIC2007
  • new SNA.

12
(No Transcript)
13
How much of Allsopp does BSIP cover?
  • Covers
  • regional GVA estimates, incl design of ABI and
    short-term inquiries, and apportionment
    methodology
  • simplify/amalgamate surveys, use admin data
  • review industry stratification and alternative
    estimation for detailed outputs
  • more sophisticated role for IDBR, incl
    maintenance, integration with surveys, estimation
    and apportionment techniques
  • fully coherent business survey system
  • Does not cover
  • EFS SERVCOM regional prices price surveys
    trade in services public sector jobs

14
Consultation
  • Extensive internal consultation eg. workshops
    already carried out
  • No formal external consultation until
    funding/scope is confirmed
  • Expect to set up a BSIP Steering Group with
    external membership
  • As well as SG, will be consultation through web,
    meetings with Depts etc.
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