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Further data linking with WERS 2004

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See National Statistics Postcode Directory for options. ... URL: http://www.wers2004.info. Email: wers2004_at_niesr.ac.uk. Telephone: 44(0) 20 7654 1933 ... – PowerPoint PPT presentation

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Title: Further data linking with WERS 2004


1
Further data linking with WERS 2004
  • John Forth
  • WERS 2004 Information Advice Service

2
Rationale for data linking
  • Rationale 1
  • Extend the information set for each workplace or
    employee
  • Examples
  • Augment workplace records with data on financial
    performance
  • Augment workplace records with data about wider
    enterprise
  • Augment workplace or employee records with
    contextual data about the industry sector or
    occupation

3
Rationale for data linking
  • Rationale 2
  • Reduce measurement error in a particular item
  • Examples
  • Compare WERS data with external source of
    information on legal status or foreign ownership
  • Compare WERS financial performance data with
    other sources

4
Rationale for data linking
  • Rationale 3
  • Extend the information set for another dataset
  • Example
  • Add workplace data from WERS to a separate
    workplace or employee-level dataset

5
Issues in data linking
  • Confidentiality
  • Extent and reliability of links
  • Measurement error
  • Loss of information
  • See also Chesher and Nesheim (2006) DTI
    Occasional Paper No. 3.

6
Existing instance of linked data
  • ONS Annual Respondent Database (ARD2) matched
    onto WERS 2004
  • Data on financial performance of business units
    (from ABI)
  • 847 (48) of XS workplaces in trading sector
    (ASTATUS1lt8) have an ABI 2004 return in ARD2
  • Offers data on value-added, profitability, labour
    costs, capex
  • Low survey and item non-response
  • Prospect of data for multiple years
  • Issue many returns (80) concern whole
    enterprise
  • One solution combine with FPQ data

7
Existing instance of linked data
  • ONS Annual Respondent Database (ARD2) matched
    onto WERS 2004
  • 1998-2004 Panel Survey 166 (25) of trading
    sector w/ps have financial data for both years
  • Issue fewer than 30 have site-level data for
    both years no WERS Financial Performance
    Questionnaire
  • General issue available only in ONS Virtual
    Micro-data Lab
  • Further info Forth and McNabb (2007) WIAS
    Technical Paper No.1

8
Work in progress
  • ONS Business Structure Database matched onto WERS
    2004
  • Version of the IDBR prepared for research use
  • Provides info on legal status and country of
    ownership
  • Provides information on enterprises internal
    structure
  • Provides info on demographic events birth,
    death, merger, takeover
  • BSD record available for 2,143 (93) of XS
    workplaces
  • One potential use identify siblings for 714
    (45) of the XS workplaces that belong to
    multi-plant enterprises

9
Work in progress
  • WERS 2004 matched onto the ONS Annual Survey of
    Earnings and Hours (ASHE)
  • Annual survey of 165,000 employees
  • Detailed information about hours and earnings
    (basic, overtime, incentive payments, pension
    arrangements)
  • WERS can provide more information about the
    employer
  • Around 5,000 ASHE records (3) link to XS
    workplaces
  • In most cases (95), there are 2 ASHE records
    per workplace
  • One potential use examine union impact on
    composition of earnings

10
Further opportunities at ONS
  • Surveys deriving from IDBR (to be investigated)
  • Community Innovation Survey (CIS4) data on
    product/process innovation and RD from 16,000
    enterprises over period 2002-2004
  • E-commerce Inquiry annual survey of 10,000
    enterprises covering access to ICT and e-commerce
    activity
  • Annual Inquiry into Foreign Direct Investment
    annual survey of 16,000 enterprises covering
    foreign ownership and financial flows

11
Matching on summary data items
  • Possible options (dependent on demand)
  • Industry
  • Levels down to SIC 2003 Class / Sub-class level
  • Examples aggregate productivity, profitability,
    labour costs
  • Occupation
  • Levels down to SOC 2000 Minor Group
  • Examples composition by gender, ethnicity, age
    average qualifications average wages

12
Matching on summary data items
  • Possible options (dependent on demand)
  • Geography
  • Levels any postcode-based classification that
    does not compromise the anonymity of respondents.
    See National Statistics Postcode Directory for
    options.
  • Examples unemployment and vacancy rates by TTWA
    profile of labour force in TTWA urban/rural
    indicator.

13
Comments and suggestions
  • WERS Information and Advice Service
  • URL http//www.wers2004.info
  • Email wers2004_at_niesr.ac.uk
  • Telephone 44(0) 20 7654 1933
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