Job Churn 4th Administrative Data Seminar 20 Apr 2015Outline Job Creation, Job Destruction, Hirings & SeparationsJob Creation, Job Destruction, Hirings & Separations MotivationMotivation The SourcesThe Sources MethodologyMethodology Snapshot of CSO StatbankSnapshot of CSO Statbank Examples of R codeExamples of R code

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 CSO Business Register EMR ID CBR ID Legal form Activity Revenue Employer Employee Tax returns EMR ID PPSN Class Weeks Pay DSP Client record System PPSN DOB Gender Nationality SPP35 Analysis file for each reference year CSOPPSN CBR ID Month of birth, Sex, Nationality Activity (NACE Rev 2), Legal form Weeks, Reckonable pay Integrated and depersonalised for multi-purpose analysis

A firm has 10 paid employees on books in 2008 The same firm has 12 paid employees on books in 2009 Job Creation (JC) = 2 Job 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) = 4 Separations (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

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