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| − | {{Indicator
| + | #REDIRECT [[Annual leave entitlements (CBR-LRI, WoL V1)]] |
| − | |datatype = Numeric
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| − | |scale = Metric
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| − | |valuelabels =
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| − | <ul>
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| − | <li>0 = 0 days</li>
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| − | <li>1 = 30 days</li>
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| − | normalised scale ranging from 0 to 1
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| − | </ul>
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| − | |techname = labor_ann_lea_ent
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| − | |category = [[Labour and labour market |Labour and labour market]]
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| − | |label = Annual leave entitlements
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| − | |relatedindicators =
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| − | <ul>
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| − | <li>[[Public holiday entitlements]]</li>
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| − | <li>[[Overtime premia]]</li>
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| − | <li>[[Weekend working]]</li>
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| − | <li>[[Limits to overtime working]]</li>
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| − | <li>[[Duration of the normal working week]]</li>
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| − | <li>[[Maximum daily working time]]</li>
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| − | </ul>
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| − | | |
| − | |description =
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| − | This variable measures the normal length of annual paid leave guaranteed by (statutory) 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). Paid vacation is essential for employees to protect their health and participate in social and cultural life. Public holidays and entitlements based on seniority (length of service with the company) are not included.
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| − | |codingrules =
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| − | The score is normalised on a 0-1 scale, with a leave entitlement of 30 days equivalent to a score of 1 (see Adams et al. 2023). For the period 1970-2022 [post-Socialist countries: 1991/3-2022], the values are based on law or collective agreement (original CBR-LRI data), for the period 1880-1969 [post-Socialist countries: 1880-1990/2] the values are based on statutory law (WoL data). Values of the countries that were additionally coded (and are not part of the original CBR-LRI data set) are based on statutory law (WoL data). These are the following countries: Albania, Benin, Bosnia & Herzegovina, Burkina Faso, Burundi, Central African Republic, Chad, Congo, El Salvador, Eritrea, Gambia, Guatemala, Guinea, Haiti, Iraq, Jamaica, Kuwait, Laos, Lebanon, Liberia, Libya, Madagascar, Malawi, Mauritania, Mozambique, Nepal, Niger, North Korea, Papua New Guinea, Sierra Leone, Somalia, South Sudan, Tajikistan, Togo, Trinidad and Tobago, Turkmenistan and Uzbekistan.
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| − | |citation =
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| − | Carlino, M., Dingeldey, I., Fechner, H., Mückenberger, U. & Schäfer, A. (2024) WoL Leximetric Datasets [Updated 2024]. University of Bremen.
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| − | |relatedpublications =
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| − | <ul>
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| − | 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
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| − | <ul>
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| − | 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
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| − | |projectmanagers =
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| − | Responsible for data editing and entry: Andrea Schäfer, Jean-Yves Gerlitz (2018-21), Jenny Hahs (2018-21)
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| − | Responsible for data coding: Marina Carlino, Heiner Fechner
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| − | Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
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| − | 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, Caroline Zambiasi
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| − | |datarelease = <ul><li>Version 0.002: Initial release</li></ul>
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| − | |revisions = No revisions yet
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| − | |sources =
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| − | <ul>
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| − | <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:
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| − | 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>
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| − | </ul>
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| − | }}
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