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| − | {{Indicator
| + | #REDIRECT [[Maximum daily working time (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 = 18 hours or more</li>
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| − | <li>1 = 8 hours or less</li>
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| − | normalised scale ranging from 0 to 1
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| − | </ul>
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| − | |techname = labor_workday
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| − | |category = [[Labour and labour market |Labour and labour market]]
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| − | |label = Maximum daily working time
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| − | |relatedindicators =
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| − | <ul>
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| − | <li>[[Annual leave entitlements]]</li>
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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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| − | </ul>
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| − | | |
| − | |description =
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| − | This CBR-LRI indicator measures the maximum number of permitted working hours in a day, taking account of rules governing rest breaks and maximum daily working time limits.
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| − | |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 18 hours or more and "1" to 8 hours or less. For country-specific information see Adams, Bishop and Deakin (2016).
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| − | |citation =
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| − | <ul>
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| − | <li>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 http://kluwerlawonline.com/abstract.php?area=Journals&id=IJCL2017004]
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| − | </ul>
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| − | | |
| − | |relatedpublications =
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| − | <ul>
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| − | <li>
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| − | 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 https://www.repository.cam.ac.uk/bitstream/handle/1810/263766/CBR_LRI_Dataset_Codebook_Methodology_2017_pdf.pdf?sequence=16&isAllowed=y]
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| − | </li>
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| − | <li>
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| − | 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 https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1564-913X.2014.00195.x]
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| − | </li>
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| − | </ul>
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| − | |projectmanagers =
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| − | <ul>
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| − | <li>Jean-Yves Gerlitz</li>
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| − | </ul>
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| − | |datarelease =
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| − | <ul>
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| − | <li></li>
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| − | </ul>
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| − | | |
| − | |revisions =
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| − | <ul>
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| − | <li></li>
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| − | </ul>
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| − | | |
| − | |sources =
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| − | <ul>
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| − | <li> Deakin, Simon, John Armour, and Mathias Siems. 2017. "CBR Leximetric Datasets [updated] [Dataset]". [https://doi.org/10.17863/CAM.9130 https://doi.org/10.17863/CAM.9130]</li>
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| − | </ul>
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| − | }}
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