Lockouts
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels |
quasi-metric scale; further gradations between 0 and 1 reflect changes in the strength of law |
| Technical name | labor_lockouts |
| Category | Labour and labour market |
| Label | Lockouts |
| Related indicators | |
This CBR-LRI indicator measures whethers the legal system permits lockouts or not.
Coding rules
The CBR-LRI is a leximetric dataset on employment protection. It quantifies the strength of protection expressed in labour law and functional equivalents such as administrative regulation and collective agreements (see Adams et al. 2017). The scale ranges from "0" to "1" where "0" corresponds to the legal system is allowing lockouts and "1" to the legal system is not allowing lockouts. For country-specific information see Adams, Bishop and Deakin (2016).
Bibliographic info
Citation: Adams, Zoe, Parisa Bastani, Louise Bishop, and Simon Deakin. 2017. "The CBR-LRI Dataset: Methods, Properties and Potential of Leximetric Coding of Labour Law." International Journal of Comparative Labour Law and Industrial Relations 33 (1): 59–91.http://kluwerlawonline.com/abstract.php?area=Journals&id=IJCL2017004.
Related publications:- Adams, Zoe, Louise Bishop, and Simon Deakin. 2016. CBR Labour Regulation Index (Dataset of 117 Countries). Cambridge: Centre for Business Research. https://www.repository.cam.ac.uk/bitstream/handle/1810/263766/CBR_LRI_Dataset_Codebook_Methodology_2017_pdf.pdf?sequence=16&isAllowed=y
- Deakin, Simon, Jonas Malmberg, and Prabirjit Sarkar. 2014. "How do labour laws affect unemployment and the labour share of national income? The experience of six OECD countries, 1970-2010". International Labour Review 153 (1): 1-27. https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1564-913X.2014.00195.x
Misc
Project manager(s): Karolin Meyer, Jean-Yves Gerlitz
Data release:- Version 0.001: Initial release
Revisions: No revisions yet
Sources
- Deakin, Simon, John Armour, and Mathias Siems. 2017. "CBR Leximetric Datasets [updated] [Dataset]". https://doi.org/10.17863/CAM.9130
