Difference between revisions of "Minimum qualifying period for unjust dismissal"

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{{Indicator
+
{{IndicatorForm
|datatype = Numeric
+
|datatype=Numeric
|scale = Metric
+
|scale=Metric
|valuelabels =  
+
|scale=Metric
<ul>
+
|scale=Metric
 +
|valuelabels=<ul>
 
<li>0 = 0 months</li>
 
<li>0 = 0 months</li>
 
<li>1 = 36 months or more</li>
 
<li>1 = 36 months or more</li>
 
normalised scale ranging from 0 to 1
 
normalised scale ranging from 0 to 1
 
</ul>
 
</ul>
|techname = labor_min_qua_per
+
|techname=labor_min_qua_per
|category = [[Labour and labour market |Labour and labour market]]
+
|category=Labour and labour market
|label = Minimum qualifying period for unjust dismissal
+
|label=Minimum qualifying period for unjust dismissal
|relatedindicators =  
+
|relatedindicators=<ul>
<ul>
 
 
<li>[[Legally mandated notice period]]</li>
 
<li>[[Legally mandated notice period]]</li>
 
<li>[[Legally mandated redundancy compensation]]</li>
 
<li>[[Legally mandated redundancy compensation]]</li>
 
</ul>
 
</ul>
 
+
|description=This CBR-LRI indicator measures the period of service required before a worker qualifies for general protection
|description =  
 
This CBR-LRI indicator measures the period of service required before a worker qualifies for general protection
 
 
against unjust dismissal.
 
against unjust dismissal.
 
+
|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 months and "1" to 36 months or more. For country-specific information see Adams, Bishop and Deakin (2016).
 
+
|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 http://kluwerlawonline.com/abstract.php?area=Journals&id=IJCL2017004]
|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 months and "1" to 36 months or more. For country-specific information see Adams, Bishop and Deakin (2016).
+
|relatedpublications=<ul>
 
 
|citation =  
 
<ul>
 
<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]
 
</ul>
 
 
 
|relatedpublications =  
 
<ul>
 
 
  <li>
 
  <li>
 
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]
 
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>
 
  </li>
 
</ul>
 
</ul>
 
+
|projectmanagers=Jean-Yves Gerlitz, Andrea Schäfer
|projectmanagers =  
+
|datarelease=<ul>
<ul>
+
  <li>Version 0.001: Initial release</li>
<li>Irene Dingeldey, Ulrich Mückenberger; research fellows: Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs</li>
 
</ul>
 
 
 
|datarelease =
 
<ul>
 
<li></li>
 
</ul>
 
 
 
|revisions =
 
<ul>
 
  <li></li>
 
 
</ul>
 
</ul>
 
+
|revisions=No revisions yet
|sources =  
+
|sources=<ul>
<ul>
 
 
  <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>
 
  <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>
 
</ul>
 
</ul>
 
}}
 
}}

Latest revision as of 14:19, 8 November 2021

Quick info
Data type Numeric
Scale Metric
Value labels
  • 0 = 0 months
  • 1 = 36 months or more
  • normalised scale ranging from 0 to 1

Technical name labor_min_qua_per
Category Labour and labour market
Label Minimum qualifying period for unjust dismissal
Related indicators

This CBR-LRI indicator measures the period of service required before a worker qualifies for general protection against unjust dismissal.

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 months and "1" to 36 months or more. 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:

Misc

Project manager(s): Jean-Yves Gerlitz, Andrea Schäfer

Data release:
  • Version 0.001: Initial release

Revisions: No revisions yet

Sources