Employment by Gender
On 31 October 2011, we launched a revised template (New LIS Data Template / New LIS Documentation Framework) for the LIS microdata. We standardized many of the categorical variables and we slightly modified the aggregate income indicators. Simultaneously, we revised the Inequality and Poverty Key Figures to reflect the revised microdata template. We have not yet revised the Employment Key Figures to reflect this 2011 revision to the microdata. The Employment Key Figures by Gender have been generated on the basis of the LIS pre-revised datasets.
The Employment Key Figures by Gender contain 10 tables providing specific information about demographics, employment, earnings, and inequality by both country and gender. All indicators are weighted using the person-level weights available in the LIS person files.
|1||Population composition of all individuals age 20-54 who are not in the military, by demographic characteristics|
|2||Poverty rates of all individuals age 20-54 who are not in the military, by demographic characteristics|
|3i||Employment rates based on the ILO definition of employment of all individuals age 20-54 who are not in the military, by demographic characteristics|
|3m||Employment rates of all individuals age 20-54 who are not in the military and who are currently primarily employed, by demographic characteristics|
|3u||Employment rates of all individuals age 20-54 who are not in the military and who are usually primarily employed, by demographic characteristics|
|4||Population composition of all employed individuals age 20-54 who are not in the military, by employment characteristics|
|5||Hours based on usual hours worked, by demographic characteristics|
|6||Female/male annual earnings ratios, by demographic characteristics|
|7||Characteristics of the not employed, for those mainly not employed, by category|
|8||Characteristics of the youth population, by demographic and employment characteristics|
Methods and Warnings
The Methods and Warnings documents provide general notes for each table available in the Key Figures Search Engine. It is divided in two parts: Table Notes describe the general content of the tables as well as the population of concern in each. Information is also included about methodology, issues, and warnings relevant to the tables as a whole. Column Notes are specific to the variables used to determine the content of each column. These notes are referenced in the Excel workbooks as footnotes to the column headings and are referred to in the output of the Key Figures Search Engine. The Column Notes provide the variable labels for each of the columns (to be used in conjunction with the LIS Employment Key Figures by Gender Search Engine) as well as warnings and exceptions specific to the LIS variable used in the calculations.
These documents should be used to get a general understanding of the content and description of the tables as well as to identify country- or variable-specific issues.
For those interested in duplicating or revising any of the tables in the Employment Key Figures by Gender, the specific mapping between the LIS variables and the table output are provided in the Variable Recoding Mapping.
The Variable Recoding Mapping provides information, by country, about the variables created in the recoding program. Information includes variable contents, variable name in the recoding program, the relevant universe, the standard formula used, and the value labels. For each country, it is noted if the standard formula applies, and provides the precise recoding if the standard formula cannot be used in that country.
Adjust Employment Key Figures by Gender to a Specific Research Project
(Registered users only)
Users may wish to use the Variable Recoding Mapping to determine the extent of standard recoding and to identify where program coding changes need to be incorporated in order to adjust to a specific research project.
In order to adapt the Employment Key Figures by Gender to specific research projects, the data are available by using a program-specific macro (similar to calling the traditional data sets). These macros are as follows:
SAS : &gkf_w5 SPSS : gkf_w5 Stata : $gkf_w5
Note that SAS users must point to a format catalog while accessing the Employment Key Figures by Gender dataset: &GKF_w5f
Users wishing to change the coding of specific variables for their own projects are advised to do the following in their programs:
- If variables from the LIS household- or person-level files are needed, merge the Employment Key Figures by Gender data with the appropriate country-year data set(s)
- Recode the Employment Key Figures by Gender variables by adjusting the pre-assigned values in the Employment Key Figures by Gender data, or by dropping the unwanted variables and replacing them with new code
- Run the analysis as usual