Priority in re-employment (WoL, V2)
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels | not applicable |
| Technical name | labor_priv_sen_prio |
| Category | Labour and labour market |
| Label | Priority in re-employment |
| Related indicators |
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This variable covers whether employees who have been made redundant for operational reasons are entitled to be employed for a comparable job as soon as it becomes available, without having to go through the competition in the application process.
Redundancies affect employees without their reason having to do with their person or their behaviour. The reason lies in the loss of their job due to economic rationalisation. If the employer creates a comparable job again after the termination, the factual basis for the termination no longer applies. Former employees should then be given the opportunity to find re-employment during a certain period of time, if they so desire. On the one hand, this takes into account that the operational reason for the termination has subsequently ceased to exist, thus offering employees a certain protection against dismissals where the economic reason only remains for a short time. On the other hand, it also represents a disadvantage for the new applicants by denying them the chance of being employed in the newly created job.This variable is derived and minimally modified from the CBR Labour Regulation Index Dataset (‘CBR-LRI’), which provides data on employment law across 117 countries spanning the years from (in most instances) 1970 to 2022, with the exception of post-socialist countries (refer to Adams et al. 2017, 2023). The current CBR-LRI data points were reviewed, and any discrepancies in values were adjusted in accordance with the WoL coding rules. Additionally, data points from before 1970 or equivalent timeframes for former Soviet bloc countries were included (cf. Fechner/Carlino 2025). In addition to the 115 countries with populations exceeding 500,000 as classified by CBR-LRI, 37 more countries have been included (cf. Fechner/Carlino 2025). Core differences concerning the original CBR-LRI data:
Coding rules
Equals 1 if the employer must follow priority rules relating to the re-employment of former workers. Equals 0 otherwise. Scope for further gradations between 0 and 1 to reflect changes in the strength of the statutory law.
For detailed coding rules, please consult Fechner/Carlino 2025.
Bibliographic info
Citation: Fechner, Heiner and Marina Carlino (2025). Worlds of Labour (WoL) Leximetric Dataset. University of Bremen.
Related publications: Adams, Zoe, Bhumika Billa, Louise Bishop, Simon Deakin and Tvisha Shroff (2023). CBR Labour Regulation Index (Dataset of 117 Countries, 1970-2022) - Codes and Sources. Centre for Business Research, University of Cambridge. at: https://doi.org/10.17863/CAM.9130.2
Carlino, Marina, Fechner, Heiner, and Schäfer, Andrea (2025). Using leximetrics for coding legal segmentation in employment law: The development and potential of the Worlds of Labour database. In I. Dingeldey, H. Fechner, & U. Mückenberger (Eds.), Constructing Worlds of Labour. Coverage and Generosity of Labour Law as Outcomes of Regulatory Social Policy. Palgrave Macmillan. pp.53-83
Deakin, Simon, Johna Armour and Mathias Siems (2023). CBR Leximetric Datasets [Updated 2023]. Apollo - University of Cambridge Repository. https://doi.org/10.17863/CAM.9130.2
Dingeldey, Irene, Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs, Ulrich Mückenberger, Worlds of Labour: Introducing the Standard-Setting, Privileging and Equalising Typology as a Measure of Legal Segmentation in Labour Law, Industrial Law Journal, Volume 51, Issue 3, September 2022, Pages 560–597, https://doi.org/10.1093/indlaw/dwab016
Fechner, Heiner, and Marina Carlino (2025). Coding Legal Segmentation in Employment Law. The Worlds of Labour (WoL) Dataset. SFB 1342 Technical Paper Series, 22. Bremen: SFB 1342. https://doi.org/10.26092/elib/4191
Misc
Project manager(s):
Responsible for data coding: Heiner Fechner (2018-2025)
Responsible for data editing and entry: Heiner Fechner (2024-2025), Andrea Schäfer (2021-2025), Jean-Yves Gerlitz (2018-2020)
Principal Investigators: Irene Dingeldey, Ulrich Mückenberger
Student assistants (2018-2025): Julia Bode, Jessica Bonn, Daniel Euler, Maxime Fischer, Jan-Christopher Floren, Jennifer Götte, Désirée Hoppe, Irina Kyburz, Alexandra Kojnow, Tarek Mahmalat, Karolin Meyer, Johanna Nold, Tanusha Pali, Johannes Ramsauer, Max Sudhoff, Kristina Walter, Caroline Zambiasi.
- Version 0.001: Initial release
Revisions: No revisions yet.
This is the first version of the dataset of the thoroughly revised Version 2 WoL template; for the first time, all variables including those originally stemming from CBR-LRI have been coded/revised under WoL criteria. A preliminary version with compiled data (CBR-LRI and WoL) has been published in WeSIS marked by "CBR-LRI-based" and "WoL, V1".
Sources
Own coding, partially based on coding by CBR-LRI.
Fechner, Heiner, and Marina Carlino (2025). Coding Legal Segmentation in Employment Law. The Worlds of Labour (WoL) Dataset. SFB 1342 Technical Paper Series, 22. Bremen: SFB 1342. https://doi.org/10.26092/elib/4191
Partially identical (after revision by WoL) with the original CBR-LRI coding, to be found in:
Deakin, Simon, Johna Armour and Mathias Siems (2023). CBR Leximetric Datasets [Updated 2023]. Apollo - University of Cambridge Repository. https://doi.org/10.17863/CAM.9130.2
