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Building a framework for local area LMS

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Activity rate / Inactivity rate. Unemployment rate. Labour Demand Jobs ... Employment, Unemployment, Inactivity (Supply) Claimant Count (Benefits) Jobs (Demand) ... – PowerPoint PPT presentation

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Title: Building a framework for local area LMS


1
Building a framework for local area LMS
  • Barry Werner
  • Office for National Statistics

2
Overview
  • Setting the scene
  • Filling the framework with data
  • Describing the framework
  • Accessing the data
  • The Nomis Local area labour market profiles

3
Setting the scene
  • Review of the Framework for Labour Market
    Statistics
  • Should present LMS in a structured way which
    follows a Labour accounting system
  • Present sub-national data in the same way

4
Basic framework structure
  • Labour supply Population
  • Working age employment rate
  • Activity rate / Inactivity rate
  • Unemployment rate
  • Labour Demand Jobs / jobs density
  • Vacancies / vacancies density
  • Benefit claimants Claimant count / CC proportions
  • Other working age benefits
  • Earnings Average weekly pay

5
Sources for filling the framework
  • Labour supply
  • Population Census
  • Labour Force Survey
  • Modelled unemployment estimates
  • Labour demand
  • Workforce Jobs
  • Vacancy Survey / Notified Vacancies
  • Benefit Claimants
  • Administrative systems
  • Earnings
  • New Earnings Survey

6
Describing the local area framework
  • Comprehensive Manual for labour market statistics
  • The experimental manual
  • The fully comprehensive manual
  • The local area blue print
  • Subset of the manual
  • Data availability
  • Documentation for each geography

7
Accessing the local area framework
  • Monthly Regional First Releases
  • Annual framework tables
  • Population (Control)
  • Employment, Unemployment, Inactivity (Supply)
  • Claimant Count (Benefits)
  • Jobs (Demand)
  • by
  • Unitary and Local Authority
  • Parliamentary Constituency
  • NUTS3
  • TTWAs

8
Accessing the local area framework
  • NOMIS
  • Free electronic access to local data
  • Detailed series held back to 1970
  • New Local Area Labour Market Profiles
    demonstration of these to follow
  • Plan to build Nomis functionality into future
    version of Neighbourhood Statistics System

9
Summary
  • Local area labour markets
  • The foundations of the framework are in place.
  • The local area route map has been started
  • The databases are now being populated
  • Further contacts
  • Nick.Maine_at_ons.gov.uk
  • David.Blunt_at_ons.gov.uk

10
Building a framework for local area LMS
  • Barry Werner ONS

11
Re-designing the ONSs Annual Structural
Earnings Survey
  • Derek Bird
  • Office for National Statistics

12
From the New Earnings Survey (NES) to the Annual
Survey of Hours and Earnings (ASHE)
  • Recommendations in the distribution of earnings
    review (DOER)
  • Changes in methodology
  • Changes in survey design
  • New survey will replace the New Earnings Survey
  • Annual survey of hours and earnings
  • ASHE

13
The New Earnings Survey (NES)
  • Recommendations in the distribution of earnings
    review (DOER)
  • Changes in methodology
  • Changes in survey design
  • New survey will replace the NES
  • Annual survey of hours and earnings
  • ASHE

14
Uses of outputs with a regional dimension
  • Pay reviews
  • National minimum wage evaluation
  • Resource allocation
  • Labour market analysis
  • European union regulations

15
Shortcomings
  • Coverage
  • About 1.6 million (low paid) employee jobs
    missing from the frame
  • Questionnaire outdated
  • Non-response
  • Response rate varies by occupation
  • Employees changing employer missed
  • No imputation for non-response
  • No weighting

16
Response
  • VAT-only businesses
  • off-PAYE employees
  • Questionnaire redesign project
  • Intensive Follow Up Pilot
  • EC3 follow up
  • Imputation for item non-response
  • weighting

17
The 2004 Survey
  • No stratification
  • Calibration
  • Occupation
  • Age
  • Sex
  • Region (London/SE or elsewhere)

18
Impact of Changes
  • Discontinuities
  • New data e.g. hourly pay rates, pensions, bik
  • Weighting for non-response
  • Gender pay gap
  • Regional pay
  • Public/private sector comparisons
  • Coverage (including VAT-only businesses)
  • Low pay, especially at or near national minimum
    wage

19
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