Equalising function

Quick info
Data type	String
Scale	Metric
Value labels	{{{valuelabels}}}
Technical name	labor_equal
Category	Labour and labour market
Label	Equalising function
Related indicators	Type of employment law Standard-setting function Privileging function

Bibliographic info

Citation:

• 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:

• 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

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

• 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

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