Difference between revisions of "Legal coverage of paid maternity leave"

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{{Indicator
 
{{Indicator
 
|datatype = Ordinal
 
|datatype = Ordinal
|scale = Metric
+
|scale = Ordinal
 
|valuelabels =  
 
|valuelabels =  
 
|techname = fam_mat_leave_cov_paid_own
 
|techname = fam_mat_leave_cov_paid_own
|relatedindicators = Coverage of voluntary maternity leave scheme
+
|relatedindicators = Coverage of maternity leave scheme
|description =  
+
|description = This indicator codes the de jure coverage of paid maternity leave. Its main purpose is twofold: To detect exclusion of atypical groups easily and to identify coverage of employees in the public sector.  
This indicator codes the de jure coverage of paid maternity leave.  
 
|codingrules = In case of the existence of multiple parallel maternity leave programs, it codes the summed coverage from multiple parallel programs to give a general overview of the coverage of paid maternity leave in a nation-state. The basic format of this variable is the "numeric index. name of occupation". If maternity protection in a nation-state covers more than one occupation, these formats will be connected with either ";" or "+".  ";". The rule of the numeric index follows:
 
1.      Status variable
 
1.1  residence (i.e. 1.1 resident, 1.1 universal, 1.1 British subject)
 
1.2  gender, age, marital status, income level (1.2 needy, 1.2 single, 1.2 widow)
 
1.3  regional information (i.e. 1.3 citizens in Kabur)
 
1.4  ethnic group (i.e. 1.4 Asian, 1.4 Aborigine)
 
1.5  beneficiary of the other types of social program (i.e. 1.5 pensioner, 1.5 widow of recipient)
 
  
2.     Types of employment (especially atypical types of employment)
+
|codingrules = The coverage variable aims to correspond closely to the original wording from national legislation, but still allow for automated processing. Therefore the basic format of this variable is "numeric index. name of group". The numeric index serves to differentiate categorical conditions of entitlement (cf. Clasen/Clegg 2007). On the most abstract level legal entitlement may be based on status, the type of employment (atypical or not) or a specific occupation. Sub-cateogories then further differentiate entitlement. Thus 'conditions of category' are structured in the following way:
(i.e. 2. Self-employed, 2. Family workers, 2. Household workers, 2. Irregular workers)
 
  
3.      Occupational variables (hierarchical structure)
 
3.1  highest level: employed, unemployed, students/apprentice, religious occupation
 
3.2  middle level: private sector, public sector
 
3.3  lowest level (details of the occupation)
 
3.4  membership of trade union
 
  
*in case of occupational variable, the information is often coded as the combination of different levels (i.e. 3.2 public + 3.3 civil servant, 3.2 public + 3.3 military)[1]
+
* 1. Status
 +
** 1.1  residence (i.e. 1.1 resident, 1.1 universal, 1.1 British subject)
 +
** 1.2  gender, age, marital status, income level (1.2 needy, 1.2 single, 1.2 widow)
 +
** 1.3  regional information (e.g. 1.3 citizens in Kabur)
 +
** 1.4  ethnic group (e.g. 1.4 Asian, 1.4 Aborigine)
 +
** 1.5  beneficiary of the other types of social program (e.g. 1.5 pensioner, 1.5 widow of recipient)
 +
* 2. Types of employment (especially atypical types of employment, e.g. 2. Self-employed, 2. Family workers, 2. Household workers, 2. Irregular workers)
 +
* 3. Occupational  (hierarchical structure)
 +
** 3.1  highest level: employed, unemployed, students/apprentice, religious occupation
 +
** 3.2 middle level: private sector, public sector
 +
** 3.3 lowest level: details of the occupation
 +
** 3.4  membership of trade union
  
*We always coded only the lowest level of information. If the lowest level (3.3) of occupational information is solely coded, it indicates that only the specific occupational groups are covered. By contrary, if the highest level (3.1 employed) is coded solely, it means all employed people are covered.
+
If paid maternity leave in a nation-state covers more than one occupation or status, these will be connected with either ";" or “,” or "+". We chain information on two different levels with “;”, if paid maternity leave covers the higher level of occupational category specifically including the lower occupational category. For instance, if it is coded as “3.2 private; 3.3 agricultural”, this implies a country covers employees in private sector including those in employed in agriculture. Conversely, we chain information on two different level of occupational categories with “+”, if the lower level serves to specify the upper. ,” connects information on the same level, i.e. among the same categories, e.g.: “3.3 agricultural, commercial, industrial”, “3.2 public, private”, and “3.1 employed, unemployed”.
  
|citation = Keonhi Son, Tobias Böger, Simone Tonelli, Petra Buhr, Sonja Drobnic, and Johannes Huinick, 2020, “Coding book of historical dataset of maternity leave”, Available at: “URL"
+
|citation = Keonhi Son, Tobias Böger, Simone Tonelli, Petra Buhr, Sonja Drobnic, and Johannes Huinick, 2020, “Coding book of historical dataset of maternity leave (HDML)”, Available at: “URL"
 
|relatedpublications =  
 
|relatedpublications =  
 
|projectmanagers = Petra Buhr, Sonja Drobnic, Johannes Huinink, Keonhi Son, Simone Tonelli.
 
|projectmanagers = Petra Buhr, Sonja Drobnic, Johannes Huinink, Keonhi Son, Simone Tonelli.

Latest revision as of 17:08, 3 March 2020

Quick info
Data type Ordinal
Scale Ordinal
Value labels
Technical name fam_mat_leave_cov_paid_own
Category {{{category}}}
Label {{{label}}}
Related indicators Coverage of maternity leave scheme

This indicator codes the de jure coverage of paid maternity leave. Its main purpose is twofold: To detect exclusion of atypical groups easily and to identify coverage of employees in the public sector.


Coding rules

The coverage variable aims to correspond closely to the original wording from national legislation, but still allow for automated processing. Therefore the basic format of this variable is "numeric index. name of group". The numeric index serves to differentiate categorical conditions of entitlement (cf. Clasen/Clegg 2007). On the most abstract level legal entitlement may be based on status, the type of employment (atypical or not) or a specific occupation. Sub-cateogories then further differentiate entitlement. Thus 'conditions of category' are structured in the following way:


  • 1. Status
    • 1.1 residence (i.e. 1.1 resident, 1.1 universal, 1.1 British subject)
    • 1.2 gender, age, marital status, income level (1.2 needy, 1.2 single, 1.2 widow)
    • 1.3 regional information (e.g. 1.3 citizens in Kabur)
    • 1.4 ethnic group (e.g. 1.4 Asian, 1.4 Aborigine)
    • 1.5 beneficiary of the other types of social program (e.g. 1.5 pensioner, 1.5 widow of recipient)
  • 2. Types of employment (especially atypical types of employment, e.g. 2. Self-employed, 2. Family workers, 2. Household workers, 2. Irregular workers)
  • 3. Occupational (hierarchical structure)
    • 3.1 highest level: employed, unemployed, students/apprentice, religious occupation
    • 3.2 middle level: private sector, public sector
    • 3.3 lowest level: details of the occupation
    • 3.4 membership of trade union

If paid maternity leave in a nation-state covers more than one occupation or status, these will be connected with either ";" or “,” or "+". We chain information on two different levels with “;”, if paid maternity leave covers the higher level of occupational category specifically including the lower occupational category. For instance, if it is coded as “3.2 private; 3.3 agricultural”, this implies a country covers employees in private sector including those in employed in agriculture. Conversely, we chain information on two different level of occupational categories with “+”, if the lower level serves to specify the upper. “,” connects information on the same level, i.e. among the same categories, e.g.: “3.3 agricultural, commercial, industrial”, “3.2 public, private”, and “3.1 employed, unemployed”.


Bibliographic info

Citation: Keonhi Son, Tobias Böger, Simone Tonelli, Petra Buhr, Sonja Drobnic, and Johannes Huinick, 2020, “Coding book of historical dataset of maternity leave (HDML)”, Available at: “URL"


Related publications:



Misc

Project manager(s): Petra Buhr, Sonja Drobnic, Johannes Huinink, Keonhi Son, Simone Tonelli.


Data release:


Revisions:

Sources

International Labour Organization (1919-). ILO Legislative series, International Labour Organization. Geneva. Retrieved from: https://www.ilo.org/public/libdoc/ilo/P/09607/.