Difference between revisions of "Standard-setting function"

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<li>[[Equalising function]]</li>
 
<li>[[Equalising function]]</li>
 
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|description = Start
|codingrules =  
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|codingrules = Start
|citation =  
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|citation = Start
 
<ul>
 
<ul>
 
<li>Dingeldey, Irene, Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs, and Ulrich Mückenberger. 2020. "Measuring Legal Segmentation in Labour Law." ''SOCIUM SFB 1342 Working Papers No. 5'', Bremen: SOCIUM, University of Bremen. [https://www.socialpolicydynamics.de/f/90e3891ffd.pdf https://www.socialpolicydynamics.de/f/90e3891ffd.pdf]
 
<li>Dingeldey, Irene, Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs, and Ulrich Mückenberger. 2020. "Measuring Legal Segmentation in Labour Law." ''SOCIUM SFB 1342 Working Papers No. 5'', Bremen: SOCIUM, University of Bremen. [https://www.socialpolicydynamics.de/f/90e3891ffd.pdf https://www.socialpolicydynamics.de/f/90e3891ffd.pdf]

Revision as of 15:25, 17 February 2021

Quick info
Data type String
Scale Metric
Value labels {{{valuelabels}}}
Technical name labor_standard
Category Labour and labour market
Label Standard-setting function
Related indicators

Start


Coding rules

Start


Bibliographic info

Citation: Start

  • Dingeldey, Irene, Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs, and Ulrich Mückenberger. 2020. "Measuring Legal Segmentation in Labour Law." SOCIUM SFB 1342 Working Papers No. 5, Bremen: SOCIUM, University of Bremen. https://www.socialpolicydynamics.de/f/90e3891ffd.pdf
  • Dingeldey, Irene, Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs, and Ulrich Mückenberger. FORTHCOMING. "Worlds of Labour: Introducing the SPE Typology as a Measure of Legal Segmentation in Labour Law." Manuscript under review at the Industrial Law Journal.


Related publications:



Misc

Project manager(s):
  • Andrea Schäfer


Data release:


Revisions:

Sources

  • Own coding (WoL; Dingeldey, Irene, Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs, and Ulrich Mückenberger)
  • Deakin, Simon, John Armour, and Mathias Siems. 2017. "CBR Leximetric Datasets [updated] [Dataset]". https://doi.org/10.17863/CAM.9130