Maximum duration of fixed-term contracts - Revision history

Hfechner: Redirected page to Maximum duration of fixed-term contracts (CBR-LRI, WoL V1)

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Redirected page to Maximum duration of fixed-term contracts (CBR-LRI, WoL V1)

ASchaefer at 19:47, 1 December 2024

2024-12-01T19:47:34Z

ASchaefer at 08:41, 26 November 2024

2024-11-26T08:41:50Z

ASchaefer at 07:26, 26 November 2024

2024-11-26T07:26:17Z

ASchaefer at 11:54, 25 November 2024

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Stecor at 13:47, 8 November 2021

2021-11-08T13:47:45Z

Stecor at 13:46, 8 November 2021

2021-11-08T13:46:53Z

Stecor at 13:46, 8 November 2021

2021-11-08T13:46:35Z

ASchaefer at 12:22, 18 May 2021

2021-05-18T12:22:51Z

Jgerlitz: Created page with "{{Indicator |datatype = Numeric |scale = Metric |valuelabels =

0 = 10 years or more/no limit

1 = less than 1 year
normalised scale ranging from 0 to 1..."

2020-06-10T15:36:56Z

Created page with "{{Indicator |datatype = Numeric |scale = Metric |valuelabels = <ul> <li>0 = 10 years or more/no limit</li> <li>1 = less than 1 year</li> normalised scale ranging from 0 to 1..."

New page

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels =
<ul>
<li>0 = 10 years or more/no limit</li>
<li>1 = less than 1 year</li>
normalised scale ranging from 0 to 1
</ul>
|techname = labor_max_fx_dur
|category = [[Labour and labour market |Labour and labour market]]
|label = Maximum duration of fixed-term contracts
|relatedindicators =
<ul>
<li>[[Dismissing costs for part-time workers is proportional]]</li>
<li>[[Fixed-term contracts are allowed only for limited duration]]</li>
<li>[[Part-time workers have the right to equal treatment]]</li>
<li>[[Fixed-term workers have the right to equal treatment]]</li>
<li>[[Agency work is prohibited or strictly controlled]]</li>
<li>[[Agency workers have the right to equal treatment]]</li>
</ul>

|description =
This CBR-LRI indicator measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent.

|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 the 10 years or more or no limit and "1" to less than 1 year. For country-specific information see Adams, Bishop and Deakin (2016).

|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>
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>
<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>
</ul>

|projectmanagers =
<ul>
<li>Jean-Yves Gerlitz</li>
</ul>

|datarelease =
<ul>
<li></li>
</ul>

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

|sources =
<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>
</ul>
}}

← Older revision		Revision as of 16:30, 15 December 2025
Line 1:		Line 1:
−	~~{{Indicator~~	+	#REDIRECT [[Maximum duration of fixed-term contracts (CBR-LRI, WoL V1)]]
−	~~\|datatype = Numeric~~
−	~~\|scale = Metric~~
−	~~\|valuelabels = not applicable~~
−	~~\|techname = labor_max_fx_dur~~
−	~~\|category = [[Labour and labour market \|Labour and labour market]]~~
−	~~\|label = Maximum duration of fixed-term contracts~~
−	~~\|relatedindicators =~~
−	~~<ul>~~
−	~~<li>[[Dismissing costs for part-time workers is proportional]]</li>~~
−	~~<li>[[Fixed-term contracts are allowed only for limited duration]]</li>~~
−	~~<li>[[Part-time workers have the right to equal treatment]]</li>~~
−	~~<li>[[Fixed-term workers have the right to equal treatment]]</li>~~
−	~~<li>~~[[~~Agency work is prohibited or strictly controlled]]</li>~~
−	~~<li>[[Agency workers have the right to equal treatment]]</li>~~
−	~~</ul>~~
−	~~\|description =~~
−	"Maximum duration of fixed-term contracts" measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent. The score is normalised from 0 to 1, with "1" equals the maximum limit of 1 year or less and "0" the maximum limit of 10 years or more or if there is no legal limit.
−	~~This variable is taken from the CBR Labour Regulation Index Dataset~~ (~~‘CBR-LRI’), which provides data on labour laws in 117 countries for the period from (in most cases) 1970 to 2022, except for post-socialist countries (see Adams et al. 2017, 2023). The existing~~ CBR-LRI data points were supplemented with data points prior to 1970 or corresponding points in time for socialist countries (see coding rules). In addition, data points for a further 36 countries were added (see coding rules).
−	The 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 supplemented data points were coded using statutory law, ~~only. The combined data points result in the World of Labour Dataset (~~WoL~~) (for first version~~ V1~~, 1970-2013 see Dingeldey et al. 2022).~~
−	~~\|codingrules =~~
−	The score is normalised on a 0-1 scale, with "1" equals the maximum limit of 1 year or less and "0" the maximum limit of 10 years or more or if there is no legal limit. (see Adams et al. 2023, Dingeldey et al. 2022). A missing value (-999) means the law has not been coded for this country year for multiple reasons or in case of supplemented data points there is ‘no information available’. Statutory law is coded for the year in which it comes into force. Until the law was altered, the coding values were carried over for the ensuing years. As a result, the values between the years when the statutory legislation is in effect are an “estimate” of the legal standards/norms based on former law. The coding template (algorithm) with the definition of the variable and instructions for the coding process is described in Adams et al. (2017, 2023) and Dingeldey et al. (2022, Online Supplement). <br>
−	As Adams et al. (2023) describe, the value of the variable "Maximum duration of fixed-term contracts" "Measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent (either alternatively to or in conjunction with rules governing the use of fixed term contracts, see variable 4 above). The score is normalised from 0 to 1, with higher values indicating a lower permitted duration. The score equals 1 if the maximum limit is 1 year or less and 0 if it is 10 years or more or if there is no legal limit." (2023:15). <br>
−	Dingeldey et al. (2022) describe the value of the variable "Maximum duration of fixed-term contracts" as "Measures the maximum cumulative duration of fixed-term contracts permitted by law before employment is deemed to be permanent; score normalised from 0 to 1, with higher values indicating a lower permitted duration; 1=maximum limit is less than 1 year; 0=maximum limit is 10 years or more/no limit" (2022, Online Supplement,https://academic.oup.com/ilj/article/51/3/560/6325574#supplementary-data).<br>
−	The Assessment of the scale level in Dingeldey et al. (2022) and Adams et al. (2017, 2023) and the description of the values in the template differ. As Adams et al. (2023) state “Some indicators use binary coding but most use non-binary or graduated scores. The template indicates the approach to scoring in each case. Some indicators are expressed as cardinal variables (for example, those relating to minimum qualifying periods of continuous employment) but most are expressed on an ordinal scale.” (p. 7) and Dingeldey et al. (2022) state “The nature of each indicator’s scale depended on the number of possible states that we could envisage for that variable; in the end, all indicators that we developed had either binary (true and false) or graduated scales, some of which, drawing on the CBR, were ordinal in nature, and some cardinal (in the case, for example, of certain working time standards).” (p. 582). <br>
−	The scale level for WESIS was set uniformly to metric for all CBR-LRI and supplemented data points in the 1st project phase of CRC 1342; this is retained because all variables are normalised on a 0-1 scale. Users should use the WESIS scale level with caution and consult the coding template (algorithm) and values. <br>
−	There is a break in time series within countries (in most cases 1880 to 1969 and 1970 to 2022, except for post-socialist countries) and limited comparability between countries [see 2] due to coverage of legal text during coding:
−	~~<ul>~~
−	~~<li>Variable values are based on statutory law, only for the period 1880-1969 (see WoL data points) [1880-1979/89 [see 1]] + 36 additional countries [see 2] for all time points available </li>~~
−	<li>Variable values are based on provisions of law, relevant court decisions or collective agreement (see CBR Leximetric Datasets, Deakin et al. 2023) for the period 1970-2022 [1980-2022 [see 3]] </li>
−	~~</ul>~~
−	~~<br>~~
−	~~<ul>~~
−	~~<li>[1] Applies to the following countries: Namibia, Zimbabwe.</li>~~
−	<li>[2] Applies to all countries not covered by CBR Leximetric Datasets (see Deakin et al 2023): Albania, Benin, Bosnia/Herzegovina, Burkina Faso, Burundi, Central African Republic, Chad, Congo, El Salvador, Eritrea, Gambia, Guatemala, Guinea, Hong Kong, Haiti, Iraq, Jamaica, Kuwait, Laos, Lebanon, Liberia, Libya, Madagascar, Malawi, Mauritania, Mozambique, Nepal, Niger, North Korea, Papua New Guinea, Sierra Leone, Somalia, South Sudan, Tajikistan, Togo, Turkmenistan and Uzbekistan for all times points available.</li>
−	<li>[3] Applies to the following countries: (1991-2022) Armenia, Azerbaijan, Belarus, Croatia, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Macedonia, Moldova, Serbia, Slovenia, Ukraine; (1990-2022) Bulgaria, Czech Republic, Hungary, Latvia, Lithuania, Namibia, Poland, Romania, Vietnam; (1992/3/5-2022) Cambodia, Russia, Slovakia, Yemen; (1980/6-2022) China, United Arab Emirates, Zimbabwe; (2006-2022) Montenegro. </li>
−	<li>[4] Important note: The (supplemented) data points of the variable are stored in extensive Excel tables, in which the corresponding sources, i.e. legal extracts and sources of these extracts, are also documented as the basis for the coded data points. A publication of the version: 0.002 Excel tables in GESIS is planned.</li>
−	~~</ul>~~
−	~~\|citation =~~
−	~~Carlino, Marina, Irene Dingeldey, Heiner Fechner, Ulrich Mückenberger and Andrea Schäfer (2024). Compiled WoL and CBR Leximetric Datasets [Updated 2024]. University of Bremen~~
−	~~\|relatedpublications =~~
−	~~<ul>~~
−	<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>
−	<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>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>~~
−	<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): 560–597, https://doi.org/10.1093/indlaw/dwab016</li>
−	~~</ul>~~
−	~~\|projectmanagers =~~
−	Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025), Jenny Hahs (2018-21), Jean-Yves Gerlitz (2018-20); Responsible for data coding: Heiner Fechner (2018-2025), Marina Carlino (2022-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants (alphabetical ordering): Max Anders, 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, Gerrit Pantel, Johannes Ramsauer, Max Sudhoff, Kristina Walter, Caroline Zambiasi
−	~~\|datarelease =~~
−	~~<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) + supplemented data points from WoL, V1</li>~~
−	~~<li>Version 0.002: Updated with data from CBR-LRI 2023, V2* (data for the period from (in most cases) 1970 to 2022) + supplemented data points from WoL, V2</li>~~
−	~~</ul>~~
−	~~\|revisions = No revisions yet~~
−	~~\|sources =~~
−	~~<ul>~~
−	~~<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>~~
−	<li>The sources used for coding the WoL-values are described in WESIS with “n. k.” for “not known”, information on sources can be found in the column 'source' in the Excel files (for more information on sources pls contact the person responsible for data coding – see entry: Project manager(s)) -. </li>
−	~~</ul>~~
−	}}

@@ Line 24: / Line 24: @@
 Dingeldey et al. (2022) describe the value of the variable "Maximum duration of fixed-term contracts" as "Measures the maximum cumulative duration of fixed-term contracts permitted by law before employment is deemed to be permanent; score normalised from 0 to 1, with higher values indicating a lower permitted duration; 1=maximum limit is less than 1 year; 0=maximum limit is 10 years or more/no limit" (2022, Online Supplement,https://academic.oup.com/ilj/article/51/3/560/6325574#supplementary-data).<br>
 The Assessment of the scale level in Dingeldey et al. (2022) and Adams et al. (2017, 2023) and the description of the values in the template differ. As Adams et al. (2023) state “Some indicators use binary coding but most use non-binary or graduated scores. The template indicates the approach to scoring in each case. Some indicators are expressed as cardinal variables (for example, those relating to minimum qualifying periods of continuous employment) but most are expressed on an ordinal scale.” (p. 7) and Dingeldey et al. (2022) state “The nature of each indicator’s scale depended on the number of possible states that we could envisage for that variable; in the end, all indicators that we developed had either binary (true and false) or graduated scales, some of which, drawing on the CBR, were ordinal in nature, and some cardinal (in the case, for example, of certain working time standards).” (p. 582). <br>
-The scale level for WESIS was set uniformly to metric for all CBR-LRI and supplemented data points in the 1st project phase of CRC 1342; this is retained because all variables are normalised on a 0-1 scale. Users should use the WESIS scale level with caution and consult the coding template (algorithm) and values.
+The scale level for WESIS was set uniformly to metric for all CBR-LRI and supplemented data points in the 1st project phase of CRC 1342; this is retained because all variables are normalised on a 0-1 scale. Users should use the WESIS scale level with caution and consult the coding template (algorithm) and values. <br>
 <ul>
-There is a break in the time series due to coverage of legal text:
+<li>Variable values are based on statutory law, only for the period 1880-1969 (see WoL data points) [1880-1979/89 [see 1]] + 36 additional countries [see 2] for all time points available </li>
-<ol> <li>Variable values are based on statutory law, only; for the period 1880-1969 (see WoL data points) [1880-1979/89 [see 1]] + 36 additional countries [see 2] for all time points available <li>Variable values are based on provisions of law, relevant court decisions or collective agreement (see CBR Leximetric Datasets, Deakin et al. 2023) for the period 1970-2022 [1980-2022 [see 3]]
+<li>Variable values are based on provisions of law, relevant court decisions or collective agreement (see CBR Leximetric Datasets, Deakin et al. 2023) for the period 1970-2022 [1980-2022 [see 3]] </li>
 </ul>
 <ul>
-[3] Applies to the following countries: (1991-2022) Armenia, Azerbaijan, Belarus, Croatia, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Macedonia, Moldova, Serbia, Slovenia, Ukraine; (1990-2022) Bulgaria, Czech Republic, Hungary, Latvia, Lithuania, Namibia, Poland, Romania, Vietnam; (1992/3/5-2022) Cambodia, Russia, Slovakia, Yemen; (1980/6-2022) China, United Arab Emirates, Zimbabwe; (2006-2022) Montenegro.
+<li>[1] Applies to the following countries: Namibia, Zimbabwe.</li>
 </ul>
 |citation =
 Carlino, Marina, Irene Dingeldey, Heiner Fechner, Ulrich Mückenberger and Andrea Schäfer (2024). Compiled WoL and CBR Leximetric Datasets [Updated 2024]. University of Bremen
 |relatedpublications =
 <ul>
-<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, 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>
-<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>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>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>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>
-<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): 560–597, https://doi.org/10.1093/indlaw/dwab016
+<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): 560–597, https://doi.org/10.1093/indlaw/dwab016</li>
 </ul>
 |projectmanagers =
 <ul>
-<li> Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025), Jenny Hahs (2018-21), Jean-Yves Gerlitz (2018-20)
+ <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) + supplemented data points from WoL, V1</li>
-<li> Responsible for data coding: Heiner Fechner (2018-2025), Marina Carlino (2022-2025)
+ <li>Version 0.002: Updated with data from CBR-LRI 2023, V2* (data for the period from (in most cases) 1970 to 2022) + supplemented data points from WoL, V2</li>
 </ul>
 |revisions = No revisions yet
 |sources =
 <ul>
- <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
+<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>
-<li> The sources used for coding the WoL-values are described in WESIS with “n. k.” for “not known”, information on sources can be found in the column 'source' in the Excel files (for more information on sources pls contact the person responsible for data coding – see the entry: Project manager(s)) -.
+<li>The sources used for coding the WoL-values are described in WESIS with “n. k.” for “not known”, information on sources can be found in the column 'source' in the Excel files (for more information on sources pls contact the person responsible for data coding – see entry: Project manager(s)) -. </li>
 </ul>
 }}

@@ Line 27: / Line 27: @@
 <ul>
 There is a break in the time series due to coverage of legal text:
-<ol> <li>Variable values are based on statutory law, only for the period 1880-1969 [1880-1979/89 [see 1]] + 36 additional countries [see 2] <li>Variable values are based on law or collective agreement - which have been extracted from CBR Leximetric Datasets (see Deakin et al 2023) for the period 1970-2022 [1980-2022 [see 3]]
+<ol> <li>Variable values are based on statutory law, only; for the period 1880-1969 (see WoL data points) [1880-1979/89 [see 1]] + 36 additional countries [see 2] for all time points available <li>Variable values are based on provisions of law, relevant court decisions or collective agreement (see CBR Leximetric Datasets, Deakin et al. 2023) for the period 1970-2022 [1980-2022 [see 3]]
 </ol>
 The comparability of the values over time is therefore limited.
@@ Line 34: / Line 34: @@
 </ul>
 <ul>
-[2] Applies to all countries not covered by CBR Leximetric Datasets (see Deakin et al 2023): Applies to all countries not covered by CBR Leximetric Datasets (see Deakin et al 2023): Albania, Benin, Bosnia/Herzegovina, Burkina Faso, Burundi, Central African Republic, Chad, Congo, El Salvador, Eritrea, Gambia, Guatemala, Guinea, Hong Kong, Haiti, Iraq, Jamaica, Kuwait, Laos, Lebanon, Liberia, Libya, Madagascar, Malawi, Mauritania, Mozambique, Nepal, Niger, North Korea, Papua New Guinea, Sierra Leone, Somalia, South Sudan, Tajikistan, Togo, Turkmenistan and Uzbekistan for all times points available.
+[2] Applies to all countries not covered by CBR Leximetric Datasets (see Deakin et al. 2023): Albania, Benin, Bosnia/Herzegovina, Burkina Faso, Burundi, Central African Republic, Chad, Congo, El Salvador, Eritrea, Gambia, Guatemala, Guinea, Hong Kong, Haiti, Iraq, Jamaica, Kuwait, Laos, Lebanon, Liberia, Libya, Madagascar, Malawi, Mauritania, Mozambique, Nepal, Niger, North Korea, Papua New Guinea, Sierra Leone, Somalia, South Sudan, Tajikistan, Togo, Turkmenistan and Uzbekistan for all times points available.
 </ul>
 <ul>

@@ Line 18: / Line 18: @@
 "Maximum duration of fixed-term contracts" measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent. The score is normalised from 0 to 1, with "1" equals the maximum limit of 1 year or less and "0" the maximum limit of 10 years or more or if there is no legal limit.
 This variable is taken from the CBR Labour Regulation Index Dataset (‘CBR-LRI’), which provides data on labour laws in 117 countries for the period from (in most cases) 1970 to 2022, except for post-socialist countries (see Adams et al. 2017, 2023). The existing CBR-LRI data points were supplemented with data points prior to 1970 or corresponding points in time for socialist countries (see coding rules). In addition, data points for a further 36 countries were added (see coding rules).
-The 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 supplemented data points were coded using statutory law, only. The combined data points result in the World of Labour Dataset (WoL) (see Dingeldey et al. 2022).
+The 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 supplemented data points were coded using statutory law, only. The combined data points result in the World of Labour Dataset (WoL) (for first version V1, 1970-2013 see Dingeldey et al. 2022).
 |codingrules =
 The score is normalised on a 0-1 scale, with "1" equals the maximum limit of 1 year or less and "0" the maximum limit of 10 years or more or if there is no legal limit. (see Adams et al. 2023, Dingeldey et al. 2022). A missing value (-999) means the law has not been coded for this country year for multiple reasons or in case of supplemented data points there is ‘no information available’. Statutory law is coded for the year in which it comes into force. Until the law was altered, the coding values were carried over for the ensuing years. As a result, the values between the years when the statutory legislation is in effect are an “estimate” of the legal standards/norms based on former law. The coding template (algorithm) with the definition of the variable and instructions for the coding process is described in Adams et al. (2017, 2023) and Dingeldey et al. (2022, Online Supplement). <br>

← Older revision		Revision as of 13:47, 8 November 2021
Line 43:		Line 43:
	\|projectmanagers =		\|projectmanagers =

−	~~<li>~~Jean-Yves Gerlitz, Andrea Schäfer	+	Jean-Yves Gerlitz, Andrea Schäfer

@@ Line 42: / Line 42: @@
 |projectmanagers =
-<ul>
-  <li>Jean-Yves Gerlitz</li>
+  <li>Jean-Yves Gerlitz, Andrea Schäfer
- <li>Andrea Schäfer</li>
 |datarelease = <ul><li>Version 0.001: Initial release</li></ul>

Maximum duration of fixed-term contracts - Revision history

Hfechner: Redirected page to Maximum duration of fixed-term contracts (CBR-LRI, WoL V1)

ASchaefer at 19:47, 1 December 2024

ASchaefer at 08:41, 26 November 2024

ASchaefer at 07:26, 26 November 2024

ASchaefer at 11:54, 25 November 2024

Stecor at 13:47, 8 November 2021

Stecor at 13:46, 8 November 2021

Stecor at 13:46, 8 November 2021

ASchaefer at 12:22, 18 May 2021

Jgerlitz: Created page with "{{Indicator |datatype = Numeric |scale = Metric |valuelabels = 0 = 10 years or more/no limit 1 = less than 1 year normalised scale ranging from 0 to 1..."

Jgerlitz: Created page with "{{Indicator |datatype = Numeric |scale = Metric |valuelabels =

0 = 10 years or more/no limit

1 = less than 1 year
normalised scale ranging from 0 to 1..."