Difference between revisions of "Public holiday entitlements"
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<li>[[Maximum daily working time]]</li> | <li>[[Maximum daily working time]]</li> | ||
</ul> | </ul> | ||
| − | |description=This CBR-LRI indicator measures the normal number of paid public holidays 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). | + | |description=The This CBR-LRI indicator measures the normal number of paid public holidays 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). |
| + | |||
| + | Measures the normal number of paid public holidays 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). The score is normalised on a 0-1 scale, with an entitlement of 18 days equivalent to a score of 1. | ||
|codingrules=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 18 days of paid holidays. For country-specific information see Adams, Bishop and Deakin (2016). | |codingrules=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 18 days of paid holidays. For country-specific information see Adams, Bishop and Deakin (2016). | ||
| − | |citation= | + | |citation=Carlino, M., Dingeldey, I., Fechner, H., Mückenberger, U. & Schäfer, A. (2024) WoL Leximetric Datasets [Updated 2024]. University of Bremen. |
| − | |relatedpublications= | + | |relatedpublications=Adams, Z., Billa, B., Bishop, L., Deakin, S. & Shroff, T. (2023). CBR Labour Regulation Index (Dataset of 117 Countries, 1970-2022) - Codes and Sources. Centre for Business Research, University of Cambridge. at: https://www.repository.cam.ac.uk/handle/1810/263766.2 |
| − | + | Deakin, S., Armour, J., & Siems, M. (2023). CBR Leximetric Datasets [Updated 2023]. Apollo - University of Cambridge Repository. https://doi.org/10.17863/CAM.9130.2 | |
| − | Adams, | + | |projectmanagers=Responsible for data editing and entry: Andrea Schäfer, Jean-Yves Gerlitz (2018-21), Jenny Hahs (2018-21) |
| − | + | Responsible for data coding: Marina Carlino, Heiner Fechner | |
| − | + | Principal Investigator: Irene Dingeldey, Ulrich Mückenberger | |
| − | Deakin, | + | Student assistants (alphabetical ordering): Max Anders, Julia Bode, Jessica Bonn, Daniel Euler, Jan-Christopher Floren, Maxime Fischer, Jennifer Götte, Eliko Hagen, Désirée Hoppe, Irina Kyburz, Alexandra Kojnow, Tarek Mahmalat, Karolin Meyer, Oguz Mermut, Johanna Nold, Tanusha Pali, Gerrit Pantel, Johannes Ramsauer, Max Sudhoff, Kristina Walter and Caroline Zambiasi |
| − | |||
| − | |||
| − | |projectmanagers=Jean-Yves Gerlitz, | ||
|datarelease=<ul> | |datarelease=<ul> | ||
| − | <li>Version 0. | + | <li>Version 0.002: Initial release</li> |
</ul> | </ul> | ||
|revisions=No revisions yet | |revisions=No revisions yet | ||
|sources=<ul> | |sources=<ul> | ||
| − | <li> Deakin, | + | <li> |
| + | |||
| + | The sources used for the WoL values can be found as a variable called 'source' when you download the data. The background information (legal excerpts, sources, etc.) on the WoL values can be found in the country templates in the Gesis data archive, at: | ||
| + | Adams, Z., Billa, B., Bishop, L., Deakin, S. & Shroff, T. (2023). CBR Labour Regulation Index (Dataset of 117 Countries, 1970-2022) - Codes and Sources. Centre for Business Research, University of Cambridge. at: https://www.repository.cam.ac.uk/handle/1810/263766.2 | ||
| + | |||
| + | </li> | ||
</ul> | </ul> | ||
}} | }} | ||
Revision as of 16:02, 5 September 2024
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels |
normalised scale ranging from 0 to 1 |
| Technical name | labor_pub_hol_ent |
| Category | Labour and labour market |
| Label | Public holiday entitlements |
| Related indicators | |
The This CBR-LRI indicator measures the normal number of paid public holidays 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).
Measures the normal number of paid public holidays 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). The score is normalised on a 0-1 scale, with an entitlement of 18 days equivalent to a score of 1.
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 18 days of paid holidays. For country-specific information see Adams, Bishop and Deakin (2016).
Bibliographic info
Citation: Carlino, M., Dingeldey, I., Fechner, H., Mückenberger, U. & Schäfer, A. (2024) WoL Leximetric Datasets [Updated 2024]. University of Bremen.
Related publications: Adams, Z., Billa, B., Bishop, L., Deakin, S. & Shroff, T. (2023). CBR Labour Regulation Index (Dataset of 117 Countries, 1970-2022) - Codes and Sources. Centre for Business Research, University of Cambridge. at: https://www.repository.cam.ac.uk/handle/1810/263766.2 Deakin, S., Armour, J., & Siems, M. (2023). CBR Leximetric Datasets [Updated 2023]. Apollo - University of Cambridge Repository. https://doi.org/10.17863/CAM.9130.2
Misc
Project manager(s): Responsible for data editing and entry: Andrea Schäfer, Jean-Yves Gerlitz (2018-21), Jenny Hahs (2018-21) Responsible for data coding: Marina Carlino, Heiner Fechner Principal Investigator: Irene Dingeldey, Ulrich Mückenberger Student assistants (alphabetical ordering): Max Anders, Julia Bode, Jessica Bonn, Daniel Euler, Jan-Christopher Floren, Maxime Fischer, Jennifer Götte, Eliko Hagen, Désirée Hoppe, Irina Kyburz, Alexandra Kojnow, Tarek Mahmalat, Karolin Meyer, Oguz Mermut, Johanna Nold, Tanusha Pali, Gerrit Pantel, Johannes Ramsauer, Max Sudhoff, Kristina Walter and Caroline Zambiasi
Data release:- Version 0.002: Initial release
Revisions: No revisions yet
Sources
- The sources used for the WoL values can be found as a variable called 'source' when you download the data. The background information (legal excerpts, sources, etc.) on the WoL values can be found in the country templates in the Gesis data archive, at: Adams, Z., Billa, B., Bishop, L., Deakin, S. & Shroff, T. (2023). CBR Labour Regulation Index (Dataset of 117 Countries, 1970-2022) - Codes and Sources. Centre for Business Research, University of Cambridge. at: https://www.repository.cam.ac.uk/handle/1810/263766.2
