Privileging function - Revision history

ASchaefer at 11:23, 5 December 2024

2024-12-05T11:23:21Z

← Older revision		Revision as of 11:23, 5 December 2024
Line 30:		Line 30:
	Using the seven variables, an additive index was calculated by adding the values of all variables in the dimensions "seniority" (N=4) and "selectivity" (N=3) and dividing by their number. Each dimension is assigned identical weights, as are all indications of the same dimension. Finally, the two dimensions are added together and divided by two to generate the index "Privileging function". The calculations reproduce the SPE typology from Dingeldey et al. 2020, 2022 with the exact same data (in consultation with the persons responsible for the calculations and exchange of the STATA-do files). All missing values were excluded from the analysis.		Using the seven variables, an additive index was calculated by adding the values of all variables in the dimensions "seniority" (N=4) and "selectivity" (N=3) and dividing by their number. Each dimension is assigned identical weights, as are all indications of the same dimension. Finally, the two dimensions are added together and divided by two to generate the index "Privileging function". The calculations reproduce the SPE typology from Dingeldey et al. 2020, 2022 with the exact same data (in consultation with the persons responsible for the calculations and exchange of the STATA-do files). All missing values were excluded from the analysis.
	\|citation =		\|citation =
	Schäfer, Andrea, Marina Carlino, Irene Dingeldey, Heiner Fechner, Ulrich Mückenberger and (2024). ~~Standard-setting~~ function data (2024). University of Bremen.		Schäfer, Andrea, Marina Carlino, Irene Dingeldey, Heiner Fechner, Ulrich Mückenberger and (2024). Privileging function data (2024). University of Bremen.
	\|relatedpublications =		\|relatedpublications =
	<ul>		<ul>

ASchaefer at 11:22, 5 December 2024

2024-12-05T11:22:17Z

← Older revision		Revision as of 11:22, 5 December 2024
Line 27:		Line 27:
	<li>The law, as opposed to the contracting parties, determines the legal status of the worker: CBR-LRI, A.1</li>		<li>The law, as opposed to the contracting parties, determines the legal status of the worker: CBR-LRI, A.1</li>
	<li>Minimum qualifying period of service for normal case of unjust dismissal: CBR-LRI, C.18</li>		<li>Minimum qualifying period of service for normal case of unjust dismissal: CBR-LRI, C.18</li>
	Using ~~these~~ variables, an additive index was calculated by adding the values of all variables in the dimensions "seniority" (N=4) and "selectivity" (N=3) and dividing by their number. Each dimension is assigned identical weights, as are all indications of the same dimension. Finally, the two dimensions are added together and divided by two to generate the index "Privileging function". The calculations reproduce the SPE typology from Dingeldey et al. 2020, 2022 with the exact same data (in consultation with the persons responsible for the calculations and exchange of the STATA-do files). All missing values were excluded from the analysis.		</ul>
			Using the seven variables, an additive index was calculated by adding the values of all variables in the dimensions "seniority" (N=4) and "selectivity" (N=3) and dividing by their number. Each dimension is assigned identical weights, as are all indications of the same dimension. Finally, the two dimensions are added together and divided by two to generate the index "Privileging function". The calculations reproduce the SPE typology from Dingeldey et al. 2020, 2022 with the exact same data (in consultation with the persons responsible for the calculations and exchange of the STATA-do files). All missing values were excluded from the analysis.
	\|citation =		\|citation =
	Schäfer, Andrea, Marina Carlino, Irene Dingeldey, Heiner Fechner, Ulrich Mückenberger and (2024). Standard-setting function data (2024). University of Bremen.		Schäfer, Andrea, Marina Carlino, Irene Dingeldey, Heiner Fechner, Ulrich Mückenberger and (2024). Standard-setting function data (2024). University of Bremen.

ASchaefer at 11:21, 5 December 2024

2024-12-05T11:21:07Z

← Older revision		Revision as of 11:21, 5 December 2024
Line 18:		Line 18:
	The variable is available for 115 countries from 1970 to 2013, using 4 World of Labour (WoL) variables and 3 CBR-LRI variables (see Dingeldey et al. 2020, 2022). The data from CBR Labour Regulation Index Dataset was coded using provisions of law and relevant court decisions, which are taken from secondary sources, national law databases, and ILO NATLEX data (see Adams et al. 2017, 2023). The 4 World of Labour (WoL) variables were coded using statutory law, only. The different coding basis (text for the coding of legal norms) leads to a different mapping of the scope of law between the CBR and WoL variables. The "Privileging function" is recreated from the SPE-typology (see Dingeldey et al. 2020), which distinguishes the standard-setting (S), privileged (P) and compensatory (E) functions of labor law.<br>		The variable is available for 115 countries from 1970 to 2013, using 4 World of Labour (WoL) variables and 3 CBR-LRI variables (see Dingeldey et al. 2020, 2022). The data from CBR Labour Regulation Index Dataset was coded using provisions of law and relevant court decisions, which are taken from secondary sources, national law databases, and ILO NATLEX data (see Adams et al. 2017, 2023). The 4 World of Labour (WoL) variables were coded using statutory law, only. The different coding basis (text for the coding of legal norms) leads to a different mapping of the scope of law between the CBR and WoL variables. The "Privileging function" is recreated from the SPE-typology (see Dingeldey et al. 2020), which distinguishes the standard-setting (S), privileged (P) and compensatory (E) functions of labor law.<br>
	\|codingrules =		\|codingrules =
	The index calculation ~~relies~~ on three CBR-LRI and four WoL indicators, the first ~~4 variable~~ are ~~subsumed under the dimension~~ 'seniority', the remaining ~~3 under~~ 'selectivity':~~<br>~~		The index calculation is based on three CBR-LRI and four WoL indicators; the first four variables are classified as'seniority', and the remaining three as'selectivity':
	<ul>		<ul>
	<li>The legally mandated notice period for employees increases with seniority: WoL, V1</li>		<li>The legally mandated notice period for employees increases with seniority: WoL, V1</li>

ASchaefer at 11:19, 5 December 2024

2024-12-05T11:19:37Z

← Older revision		Revision as of 11:19, 5 December 2024
Line 2:		Line 2:
	\|datatype = Numeric		\|datatype = Numeric
	\|scale = Metric		\|scale = Metric
	\|valuelabels = ~~<ul>~~		\|valuelabels = not applicable
	~~<li>0 to 1. 1 is the maximum value, it reflects the highest possible level of norm-related privileging. </li>~~
	~~</ul>~~
	\|techname = labor_priv_func		\|techname = labor_priv_func
	\|category = [[Labour and labour market \|Labour and labour market]]		\|category = [[Labour and labour market \|Labour and labour market]]
	\|label = Privileging function		\|label = Privileging function
	\|relatedindicators =		\|relatedindicators =
	~~<ul>~~
	<ul>		<ul>
	<li>[[SPE-Type of employment law (string)]]</li>		<li>[[SPE-Type of employment law (string)]]</li>

ASchaefer at 11:18, 5 December 2024

2024-12-05T11:18:12Z

← Older revision		Revision as of 11:18, 5 December 2024
Line 10:		Line 10:
	\|relatedindicators =		\|relatedindicators =
	<ul>		<ul>
			<ul>
			<li>[[SPE-Type of employment law (string)]]</li>
			<li>[[SPE-Type of employment law]]</li>
			<li>[[Type of employment law (string)]]</li>
	<li>[[Standard-setting function]]</li>		<li>[[Standard-setting function]]</li>
	<li>[[Equalising function]]</li>		<li>[[Equalising function]]</li>
	~~<li>[[Legally mandated notice period increases with seniority]]</li>~~
	~~<li>[[Legally mandated severance compensation increases with seniority]]</li>~~
	~~<li>[[Seniority is a decisive redundancy selection criterion]]</li>~~
	~~<li>[[Priority in re-employment]]</li>~~
	~~<li>[[Dismissal protection depends on size of enterprise]]</li>~~
	~~<li>[[The law determines the legal status of the worker]]</li>~~
	~~<li>[[Minimum qualifying period for unjust dismissal]]</li>~~
	</ul>		</ul>
	\|description = ~~The~~ privileging ~~function~~ refers to legal norms that actively promote specific parts of the labour force. These norms link employment protection to specific conditions that are covered by the two dimensions seniority and selectivity and measured by seven indicators. ~~This function measures~~ the level of norm-related privileging ~~in individual labour~~ law and is ~~a form~~ of ~~legal segmentation~~.		\|description =
	\|codingrules = The index calculation relies on three CBR-LRI and four WoL indicators: ~~Legally~~ mandated notice period increases with seniority, Legally mandated severance ~~compensation increases~~ with seniority, Seniority is a decisive ~~redundancy~~ selection criterion, Priority in re-employment, ~~Dismissal~~ protection depends on size of enterprise, The law determines the legal status of the worker ~~and~~ Minimum qualifying period for unjust dismissal. We calculated the ~~mean~~ of all ~~indicators of one~~ dimension, ~~and again the mean of~~ all ~~dimensions~~ of the ~~function, thereby assigning equal weights to each~~ dimension, and ~~thus equal weights~~ to ~~all indicators of one dimension~~. ~~We normalised~~ the ~~scale~~ of the ~~dimension selectivity, that is, we divided it by it's empirical maximum~~.		"Privileging function" measures the level of norm-related privileging in individual labour law and is a form of legal segmentation. It refers to legal norms that actively promote specific parts of the labour force. These norms link employment protection to specific conditions that are covered by the two dimensions seniority and selectivity and measured by seven indicators. The index ranges from 0 to 1 where 1 is the maximum value reflecting the highest possible level of norm-related privileging.
			The variable is available for 115 countries from 1970 to 2013, using 4 World of Labour (WoL) variables and 3 CBR-LRI variables (see Dingeldey et al. 2020, 2022). The data from CBR Labour Regulation Index Dataset was coded using provisions of law and relevant court decisions, which are taken from secondary sources, national law databases, and ILO NATLEX data (see Adams et al. 2017, 2023). The 4 World of Labour (WoL) variables were coded using statutory law, only. The different coding basis (text for the coding of legal norms) leads to a different mapping of the scope of law between the CBR and WoL variables. The "Privileging function" is recreated from the SPE-typology (see Dingeldey et al. 2020), which distinguishes the standard-setting (S), privileged (P) and compensatory (E) functions of labor law.<br>
			\|codingrules =
			The index calculation relies on three CBR-LRI and four WoL indicators, the first 4 variable are subsumed under the dimension 'seniority', the remaining 3 under 'selectivity':<br>
			<ul>
			<li>The legally mandated notice period for employees increases with seniority: WoL, V1</li>
			<li>Legally mandated severance/redundancy payments for employees increase with seniority:WoL, V1</li>
			<li>Seniority is a decisive selection criterion in case of redundancy: WoL, V1</li>
			<li>Priority in re-employment: CBR-LRI, C.24</li>
			<li>General dismissal protection depends on the size of the enterprise: WoL, V1</li>
			<li>The law, as opposed to the contracting parties, determines the legal status of the worker: CBR-LRI, A.1</li>
			<li>Minimum qualifying period of service for normal case of unjust dismissal: CBR-LRI, C.18</li>
			Using these variables, an additive index was calculated by adding the values of all variables in the dimensions "seniority" (N=4) and "selectivity" (N=3) and dividing by their number. Each dimension is assigned identical weights, as are all indications of the same dimension. Finally, the two dimensions are added together and divided by two to generate the index "Privileging function". The calculations reproduce the SPE typology from Dingeldey et al. 2020, 2022 with the exact same data (in consultation with the persons responsible for the calculations and exchange of the STATA-do files). All missing values were excluded from the analysis.
	\|citation =		\|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 https://www.socialpolicydynamics.de/f/90e3891ffd.pdf]~~		Schäfer, Andrea, Marina Carlino, Irene Dingeldey, Heiner Fechner, Ulrich Mückenberger and (2024). Standard-setting function data (2024). University of Bremen.
	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''.


	\|relatedpublications =		\|relatedpublications =
	<ul>		<ul>
	<li>		<li>Adams, Zoe, Bhumika Billa, Louise Bishop, Simon Deakin and Tvisha Shroff (2023). CBR Labour Regulation Index (Dataset of 117 Countries, 1970-2022) - Codes and Sources. Centre for Business Research, University of Cambridge. at: https://doi.org/10.17863/CAM.9130.2</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]~~		<li>Carlino, Marina, Fechner, Heiner, and Schäfer, Andrea (2025, forthcoming). Using leximetrics for coding legal segmentation in employment law: The development and potential of the Worlds of Labour database. In I. Dingeldey, H. Fechner, & U. Mückenberger (Eds.), Constructing Worlds of Labour. Coverage and Generosity of Labour Law as Outcomes of Regulatory Social Policy. Palgrave Macmillan. p.53-83 </li>
	<li>		<li>Deakin, Simon, Johna Armour and Mathias Siems (2023). CBR Leximetric Datasets [Updated 2023]. Apollo - University of Cambridge Repository. https://doi.org/10.17863/CAM.9130.2</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]~~		<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</li>
	~~<li>~~		<li> Dingeldey, Irene, Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs, and Ulrich Mückenberger (2022). Worlds of Labour: Introducing the Standard-Setting, Privileging and Equalising Typology as a Measure of Legal Segmentation in Labour Law, Industrial Law Journal, 51(3), p.560–597</li>
	~~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]~~
	<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>
	</ul>		</ul>

	\|projectmanagers =		\|projectmanagers =
			Responsible for data editing, calculation, description (WESIS) and entry: Andrea Schäfer (2021-2025); Responsible for data coding: Heiner Fechner (2018-2025), Marina Carlino (2022-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants for coding (alphabetical ordering): 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, Johannes Ramsauer, Max Sudhoff, Kristina Walter, Caroline Zambiasi
	Andrea Schäfer		\|datarelease =
			<ul>
	\|datarelease = <ul><li>Version 0.001: Initial release</li></ul>		<li>Version 0.001: Initial release with data from CBR-LRI published in April 2017 (data for the period from (in most cases) 1970 to 2013) + 4 variables from WoL, V1</li>
	\|revisions = No revisions yet		</ul>\|revisions = No revisions yet


	\|sources =		\|sources =
	<ul>		<ul>
	<li> ~~Own~~ coding </li>		<li>Deakin, Simon, Johna Armour and Mathias Siems (2017). CBR Leximetric Datasets [updated]. [Dataset]. Apollo - University of Cambridge Repository. https://doi.org/10.17863/CAM.9130</li>
			<li>The sources used for coding the WoL-values are not available (for more information on sources pls contact the person responsible for data coding – see entry: Project manager(s)) -. </li>
	</ul>		</ul>
	}}		}}

Stecor at 14:24, 8 November 2021

2021-11-08T14:24:20Z

← Older revision		Revision as of 14:24, 8 November 2021
Line 41:		Line 41:
	\|projectmanagers =		\|projectmanagers =

	~~<li>~~Andrea Schäfer		Andrea Schäfer

	\|datarelease = <ul><li>Version 0.001: Initial release</li></ul>		\|datarelease = <ul><li>Version 0.001: Initial release</li></ul>

Stecor at 14:24, 8 November 2021

2021-11-08T14:24:09Z

← Older revision		Revision as of 14:24, 8 November 2021
Line 2:		Line 2:
	\|datatype = Numeric		\|datatype = Numeric
	\|scale = Metric		\|scale = Metric
	\|valuelabels = 0 to 1. 1 is the maximum value, it reflects the highest possible level of norm-related privileging.		\|valuelabels = <ul>
			<li>0 to 1. 1 is the maximum value, it reflects the highest possible level of norm-related privileging. </li>
			</ul>
	\|techname = labor_priv_func		\|techname = labor_priv_func
	\|category = [[Labour and labour market \|Labour and labour market]]		\|category = [[Labour and labour market \|Labour and labour market]]
Line 21:		Line 23:
	\|codingrules = The index calculation relies on three CBR-LRI and four WoL indicators: Legally mandated notice period increases with seniority, Legally mandated severance compensation increases with seniority, Seniority is a decisive redundancy selection criterion, Priority in re-employment, Dismissal protection depends on size of enterprise, The law determines the legal status of the worker and Minimum qualifying period for unjust dismissal. We calculated the mean of all indicators of one dimension, and again the mean of all dimensions of the function, thereby assigning equal weights to each dimension, and thus equal weights to all indicators of one dimension. We normalised the scale of the dimension selectivity, that is, we divided it by it's empirical maximum.		\|codingrules = The index calculation relies on three CBR-LRI and four WoL indicators: Legally mandated notice period increases with seniority, Legally mandated severance compensation increases with seniority, Seniority is a decisive redundancy selection criterion, Priority in re-employment, Dismissal protection depends on size of enterprise, The law determines the legal status of the worker and Minimum qualifying period for unjust dismissal. We calculated the mean of all indicators of one dimension, and again the mean of all dimensions of the function, thereby assigning equal weights to each dimension, and thus equal weights to all indicators of one dimension. We normalised the scale of the dimension selectivity, that is, we divided it by it's empirical maximum.
	\|citation =		\|citation =
	~~<ul>~~		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]		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''.
	~~<li>~~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''.
	~~</ul>~~

	\|relatedpublications =		\|relatedpublications =
Line 39:		Line 40:

	\|projectmanagers =		\|projectmanagers =
	~~<ul>~~
	~~<li>Andrea Schäfer</li>~~
	~~</ul>~~

	\|datarelease =		<li>Andrea Schäfer
	<ul>
	<li></li>		\|datarelease = <ul><li>Version 0.001: Initial release</li></ul>
	</ul>		\|revisions = No revisions yet

	~~\|revisions =~~
	~~<ul>~~
	~~<li></li>~~
	~~</ul>~~

	\|sources =		\|sources =

ASchaefer at 14:09, 19 May 2021

2021-05-19T14:09:24Z

← Older revision		Revision as of 14:09, 19 May 2021
Line 8:		Line 8:
	\|relatedindicators =		\|relatedindicators =
	<ul>		<ul>
	~~<li>[[Type of employment law]]</li>~~
	<li>[[Standard-setting function]]</li>		<li>[[Standard-setting function]]</li>
	<li>[[Equalising function]]</li>		<li>[[Equalising function]]</li>

ASchaefer at 07:48, 19 May 2021

2021-05-19T07:48:51Z

← Older revision		Revision as of 07:48, 19 May 2021
Line 20:		Line 20:
	</ul>		</ul>
	\|description = The privileging function refers to legal norms that actively promote specific parts of the labour force. These norms link employment protection to specific conditions that are covered by the two dimensions seniority and selectivity and measured by seven indicators. This function measures the level of norm-related privileging in individual labour law and is a form of legal segmentation.		\|description = The privileging function refers to legal norms that actively promote specific parts of the labour force. These norms link employment protection to specific conditions that are covered by the two dimensions seniority and selectivity and measured by seven indicators. This function measures the level of norm-related privileging in individual labour law and is a form of legal segmentation.
	\|codingrules = The index calculation relies on three CBR-LRI and four indicators ~~created by the project team (A03)~~: Legally mandated notice period increases with seniority, Legally mandated severance compensation increases with seniority, Seniority is a decisive redundancy selection criterion, Priority in re-employment, Dismissal protection depends on size of enterprise, The law determines the legal status of the worker and Minimum qualifying period for unjust dismissal. We calculated the mean of all indicators of one dimension, and again the mean of all dimensions of the function, thereby assigning equal weights to each dimension, and thus equal weights to all indicators of one dimension. We normalised the scale of the dimension selectivity, that is, we divided it by it's empirical maximum.		\|codingrules = The index calculation relies on three CBR-LRI and four WoL indicators: Legally mandated notice period increases with seniority, Legally mandated severance compensation increases with seniority, Seniority is a decisive redundancy selection criterion, Priority in re-employment, Dismissal protection depends on size of enterprise, The law determines the legal status of the worker and Minimum qualifying period for unjust dismissal. We calculated the mean of all indicators of one dimension, and again the mean of all dimensions of the function, thereby assigning equal weights to each dimension, and thus equal weights to all indicators of one dimension. We normalised the scale of the dimension selectivity, that is, we divided it by it's empirical maximum.
	\|citation =		\|citation =
	<ul>		<ul>

ASchaefer at 07:47, 19 May 2021

2021-05-19T07:47:25Z

← Older revision		Revision as of 07:47, 19 May 2021
Line 20:		Line 20:
	</ul>		</ul>
	\|description = The privileging function refers to legal norms that actively promote specific parts of the labour force. These norms link employment protection to specific conditions that are covered by the two dimensions seniority and selectivity and measured by seven indicators. This function measures the level of norm-related privileging in individual labour law and is a form of legal segmentation.		\|description = The privileging function refers to legal norms that actively promote specific parts of the labour force. These norms link employment protection to specific conditions that are covered by the two dimensions seniority and selectivity and measured by seven indicators. This function measures the level of norm-related privileging in individual labour law and is a form of legal segmentation.
	\|codingrules = The index calculation relies on three CBR-LRI and four ~~own coded~~ indicators: Legally mandated notice period increases with seniority, Legally mandated severance compensation increases with seniority, Seniority is a decisive redundancy selection criterion, Priority in re-employment, Dismissal protection depends on size of enterprise, The law determines the legal status of the worker and Minimum qualifying period for unjust dismissal. We calculated the mean of all indicators of one dimension, and again the mean of all dimensions of the function, thereby assigning equal weights to each dimension, and thus equal weights to all indicators of one dimension. We normalised the scale of the dimension selectivity, that is, we divided it by it's empirical maximum.		\|codingrules = The index calculation relies on three CBR-LRI and four indicators created by the project team (A03): Legally mandated notice period increases with seniority, Legally mandated severance compensation increases with seniority, Seniority is a decisive redundancy selection criterion, Priority in re-employment, Dismissal protection depends on size of enterprise, The law determines the legal status of the worker and Minimum qualifying period for unjust dismissal. We calculated the mean of all indicators of one dimension, and again the mean of all dimensions of the function, thereby assigning equal weights to each dimension, and thus equal weights to all indicators of one dimension. We normalised the scale of the dimension selectivity, that is, we divided it by it's empirical maximum.
	\|citation =		\|citation =
	<ul>		<ul>