Difference between revisions of "Annual leave entitlements"
(Created page with "{{Indicator |datatype = Numeric |scale = Metric |valuelabels = <ul> <li>0 = 0 days</li> <li>1 = 30 days</li> normalised scale ranging from 0 to 1 </ul> |techname = labor_ann...") |
|||
| Line 22: | Line 22: | ||
|description = | |description = | ||
| − | This CBR-LRI indicator measures the normal length of annual paid leave guaranteed by law or collective agreement. | + | This CBR-LRI indicator measures the normal length of annual paid leave guaranteed by law or collective agreement.The same score is given for laws and for collective agreements which are de facto binding on most of the workforce (as in the case of systems which have extension legislation for collective agreements). |
Revision as of 17:04, 19 March 2020
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels |
normalised scale ranging from 0 to 1 |
| Technical name | labor_ann_lea_ent |
| Category | Labour and labour market |
| Label | Annual leave entitlements |
| Related indicators | |
This CBR-LRI indicator measures the normal length of annual paid leave guaranteed by law or collective agreement.The same score is given for laws and for collective agreements which are de facto binding on most of the workforce (as in the case of systems which have extension legislation for collective agreements).
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 of the indicator was normalised so that "0" corresponds to 0 days and "1" to 30 days of annual paid leave. 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
- 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):- Irene Dingeldey, Ulrich Mückenberger; research fellows: Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs
Sources
- Deakin, Simon, John Armour, and Mathias Siems. 2017. "CBR Leximetric Datasets [updated] [Dataset]". https://doi.org/10.17863/CAM.9130
