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Turning labour market information into labour market intelligence

Turning labour market information into labour market intelligence. Paul Bivand Inclusion. Developments. Sources Methods Visualisation Being up to the minute. Sources: the Office for National Statistics. The ONS produce most ‘national’ and ‘official’ statistics on the labour market

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Turning labour market information into labour market intelligence

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  1. Turning labour market information into labour market intelligence Paul Bivand Inclusion

  2. Developments • Sources • Methods • Visualisation • Being up to the minute

  3. Sources: the Office for National Statistics • The ONS produce most ‘national’ and ‘official’ statistics on the labour market • They try very hard to • Get the figures right, beyond challenge • Explain and visualise the figures • New economic statistics page: http://www.ons.gov.uk/ons/site-information/using-the-website/time-series/index.html • Youtubehttps://www.youtube.com/user/onsstats

  4. ONS Labour Market Framework Labour supply Labour demand Families/hhlds People Employers Employed Unemployed Inactive Vacancies Jobs Self-employed Employees Gvt schemes

  5. The ONS operates by ‘themes’ • The Labour Market is one: http://www.ons.gov.uk/ons/taxonomy/index.html?nscl=Labour+Market • More detailed local area data is available from NOMIS www.nomisweb.co.uk but • Much of the information that is most compatible with ONS preferred measures is delayed compared to current ONS data – e.g. Annual Population Survey • And not seasonally adjusted, which can confuse

  6. Visualising expressed demand for skills and occupations • Using earnings surveys – the Annual Survey of Hours and Earnings • And the Labour Force Survey – looking at people who have started jobs in the previous three months • Can include people moving jobs

  7. What’s expressed demand? • Employers pay earnings packages they need to recruit, retain and motivate staff • Relative pay therefore encodes some features of expressed demand • So do changes in relative pay, and changes in numbers employed

  8. Only two charts • My first chart shows ASHE annual earnings by occupation • Showing the earnings distribution by boxplots– so the hinges are quartiles and the whiskers are deciles • Ordered the occupations by median pay • I’ve then coloured the fill of each box to show the qualification level of recruits

  9. Labour Force Survey analysis • We now have eight quarters of LFS coded to SOC 2010 • 7.2 million (weighted) instances of jobs starting in the previous 3 months – recruits • Have estimated the qualification level of recruits • Information for 353 out of 369 4-digit occupation groups

  10. This tells us • What is the pay range for each occupation – what employers are paying • What qualifications are held by job starters • Could have coloured by: • Numbers of job starters – giving a different picture

  11. This is just a static analysis • ASHE gives us the opportunity to measure change • However, the change in Occupation Classification means that any medium-term change can only be done up to 2011 or the 2011-12 change • Single year changes contain random effects (like when pay reviews happen early or late)

  12. Relative rises and falls • We have plotted the change in earnings 2006-11 and in ASHE employee numbers 2006-11 • We have coloured the occupations by the qualification level of new job entrants in 2009-10 – with red as high qualified this time

  13. What does this show? • Top right quadrant – jobs rising in pay and in numbers – in demand (though some minimum wage jobs) • Bottom right quadrant – jobs rising in numbers but relatively dropping in pay – market is supplying enough new skills • Top left quadrant – dropping numbers but rising relative pay – employers making a market response to recruit when careers more risky

  14. And what about the bottom left? • Falling relative pay and falling numbers • Skilled trades • Process, plant workers • Secretarial • And some STEM occupations – particularly technicians • Rational to avoid these occupations

  15. Visualisation: the next big thing • The ONS visualisations we saw earlier are useful, • because they enable users not only to interact, • but also to download copies in a range of formats • As well as the underlying data

  16. More information will be circulated... • A couple of years ago I prepared a set of course notes on labour market information • How to use NOMIS (still good) • How to use Neighbourhood Statistics (mostly still works) • Other Government departments – the move to GOV.UK has changed most things

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