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Job ChurnJob Churn
4th Administrative Data Seminar20 Apr 2015
OutlineOutline•Job Creation, Job Destruction, Hirings & Job Creation, Job Destruction, Hirings & SeparationsSeparations•MotivationMotivation•The SourcesThe Sources•MethodologyMethodology•Snapshot of CSO StatbankSnapshot of CSO Statbank•Examples of R codeExamples of R code [email protected]
Motivation behind Job Churn
• In the back drop of a global downturn and economic recession in Ireland
• Increased demand for information on jobs & the labour market
• Less financial resources available• New opportunities to exploit administrative data• A methodology already outlined in research
literature
The Sources – the analysis file
CSOBusiness Register
EMR IDCBR ID
Legal formActivity
Revenue Employer Employee Tax returns
EMR IDPPSNClass
WeeksPay
DSPClient record System
PPSNDOB
GenderNationality
SPP35 Analysis file for each reference yearCSOPPSN
CBR IDMonth of birth, Sex, Nationality
Activity (NACE Rev 2), Legal formWeeks, Reckonable pay
Integrated and depersonalised for multi-purpose analysis
A firm has 10 paid employees on books in 2008The same firm has 12 paid employees on books in 2009
Job Creation (JC) = 2Job Destruction (JD) = 0
This firm has 4 paid workers on books in 2009 that didn’t exist in 2008 (Hirings) and it has 2 paid workers on books in 2008 that don’t exist in 2009 (Separations)
Hirings (H) = 4Separations (S) = 2
The Methodology – illustrating by simple example
Easy to Access & Query
Copy Link Locationn
R code used to prepare data
• The data is easy to prepare for analysis• Example of R code used to download the data
and covert it in to a pliable data frame