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Last modified by Helena on 2025/07/31 14:18
From version 3.20
edited by Helena
on 2025/06/17 11:47
Change comment: There is no comment for this version
To version 3.17
edited by Helena
on 2025/06/17 11:46
Change comment: There is no comment for this version

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... ... @@ -243,23 +243,21 @@
243 243  ** for voluntary reasons;
244 244  ** for involuntary reasons;
245 245  * part-year employment with some unemployment;
246 -** mainly unemployment:
247 -** with some employment;
246 +** mainly unemployment: o with some employment;
248 248  ** without employment;
249 -* mainly out of labour force with some employment.
248 +** mainly out of labour force with some employment.
250 250  
251 -64. Further variables may be introduced, such as length of employment, spells and duration of unemployment, etc. Such classifications would permit the identification of the main types of employment-related hardship, the severity of employment problems and the degree of labour force attachment of persons experiencing economic hardship.
250 +1. Further variables may be introduced, such as length of employment, spells and duration of unemployment, etc. Such classifications would permit the identification of the main types of employment-related hardship, the severity of employment problems and the degree of labour force attachment of persons experiencing economic hardship.
252 252  
253 -= Periodicity =
252 +=== Periodicity ===
254 254  
255 255  65. Countries should endeavour to regularly collect, compile and disseminate statistics of employment-related income at least every five years.
256 256  
257 -= Analytical measures =
256 +=== Analytical measures ===
258 258  
259 -66. Statistics of average income related to employment for pay and employment for profit should be compiled per time unit. The time unit in which average employment-related income is expressed, e.g. hour, day, week or month, should depend mainly on how meaningful the figures would be in the country concerned and on the feasibility of data collection. Where possible, estimates of average annual income related to employment for pay and employment for profit should be compiled.
258 +1. Statistics of average income related to employment for pay and employment for profit should be compiled per time unit. The time unit in which average employment-related income is expressed, e.g. hour, day, week or month, should depend mainly on how meaningful the figures would be in the country concerned and on the feasibility of data collection. Where possible, estimates of average annual income related to employment for pay and employment for profit should be compiled.
259 +1. Where feasible, estimates of hourly employment-related income should also be developed, based on the annual estimates of income and on the corresponding volume of employment expressed in terms of hours of work and work duration.
260 260  
261 -67. Where feasible, estimates of hourly employment-related income should also be developed, based on the annual estimates of income and on the corresponding volume of employment expressed in terms of hours of work and work duration.
262 -
263 263  === Complementary approach to non-measurable benefits ===
264 264  
265 265  1. In view of, on the one hand, the importance generally attached to the growth of forms of compensation schemes offering current and deferred entitlements to various benefits to persons in employment for pay (e.g. pensions and health plans, life insurance, flexible benefits and the like), and, on the other hand, the measurement difficulties inherent in the assessment of the value of such entitlements, efforts should be made to conduct surveys of employee benefits, in such a way as to provide data on the incidence and characteristics of the benefits received by persons in employment for pay (e.g. participation requirements, employers' and employees' contributions (where appropriate), health-care deductibles, pension benefit formulas, paid leave provisions, number of beneficiaries). Data should be compiled and published by size of establishment and various employer and employee characteristics (major industry groups, full-time and part-time employment, etc.).