Changes for page Resolution III: Resolution to amend Resolution 16th ICLS concerning the measurement of employment-related income

Summary

• Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

...	...	@@ -211,42 +211,41 @@
211	211
212	212	= Data compilation =
213	213
214		-58. In order to measure the income-generating capacity of different jobs or economic activities, employment-related income should be related to the job variables (regular/casual, full/parttime, etc.) and measured within the framework of employment duration and working time.
	214	+1. In order to measure the income-generating capacity of different jobs or economic activities, employment-related income should be related to the job variables (regular/casual, full/parttime, etc.) and measured within the framework of employment duration and working time.
	215	+1. In order to assess employment-related well-being, data should be collected on income derived from all jobs for each person. For each job, income data should be collected along with the individual's status in employment, the length of the reference period to which the income refers, working time in hours, days, months, etc., where relevant.
	216	+1. Data should be collected on the components, as well as on the aggregate, of income related to employment for pay or for profit, along the following lines:
	217	+11. Gross income related to employment for pay, excluding social security contributions as in paragraph 12:
215	215
216		-59. In order to assess employment-related well-being, data should be collected on income derived from all jobs for each person. For each job, income data should be collected along with the individual's status in employment, the length of the reference period to which the income refers, working time in hours, days, months, etc., where relevant.
	219	+*
	220	+** total cash remuneration;
	221	+** total imputed value of remuneration in kind and services;
	222	+** profit-related pay;
	223	+** employment-related social security benefits:
	224	+*** received from employer;
	225	+*** received from social security and insurance schemes or the State.
217	217
218		-60. Data should be collected on the components, as well as on the aggregate, of income related to employment for pay or for profit, along the following lines:
	227	+1.
	228	+11. Gross income related to employment for profit, excluding social security contributions as in paragraph 21:
219	219
220		-* (a) Gross income related to employment for pay, excluding social security contributions as in paragraph 12:
221		-** total cash remuneration;
222		-*** total imputed value of remuneration in kind and services;
223		-*** profit-related pay;
224		-*** employment-related social security benefits:
225		-**** received from employer;
226		-**** received from social security and insurance schemes or the State.
227		-* (b) Gross income related to employment for profit, excluding social security contributions as in paragraph 21:
	230	+*
228	228	** gross profit or where relevant gross output less operating expenses;
229	229	** consumption of fixed capital/depreciation;
230	230	** net profit (or share of profit);
231	231	** employment-related social security benefits.
232	232
233		-= Data classification =
	236	+=== Data classification ===
234	234
235		-61. Statistics of employment-related income should be classified by economic activity, status in employment and occupation or occupational group, at least according to the major groups and categories of the most recent version of the relevant international classifications. These statistics should be systematically disaggregated by sex in all analyses. Other important variables for cross-classifications of data on income related to employment for pay or for profit are sex, age, level of education, level of skill, seniority in job and the formal or informal status of the job.
	238	+1. Statistics of employment-related income should be classified by economic activity, status in employment and occupation or occupational group, at least according to the major groups and categories of the most recent version of the relevant international classifications. These statistics should be systematically disaggregated by sex in all analyses. Other important variables for cross-classifications of data on income related to employment for pay or for profit are sex, age, level of education, level of skill, seniority in job and the formal or informal status of the job.
	239	+1. Disaggregations of the main status in employment categories, as defined in ICSE according to the type of economic risk, may be relevant in order to distinguish specific groups such as owner-operators of corporations from employees, employers from other independent workers, permanent employees from temporary, seasonal or casual employees, etc.
	240	+1. In order to measure the relationship between employment and income, account should be taken of all activities performed during the reference year, including simultaneous jobs. The employment experience of individuals during the reference period may be assessed through the identification of periods when they were employed (full or part time), unemployed and out of labour force. At the aggregate level, the main situations may be regrouped into broad categories relevant to the measurement of employment-related wellbeing, such as:
	241	+1*. full-year/full-time employment;
	242	+1*. part-year/part-time employment with no unemployment:
236	236
237		-62. Disaggregations of the main status in employment categories, as defined in ICSE according to the type of economic risk, may be relevant in order to distinguish specific groups such as owner-operators of corporations from employees, employers from other independent workers, permanent employees from temporary, seasonal or casual employees, etc.
	244	+o for voluntary reasons; o for involuntary reasons;
238	238
239		-63. In order to measure the relationship between employment and income, account should be taken of all activities performed during the reference year, including simultaneous jobs. The employment experience of individuals during the reference period may be assessed through the identification of periods when they were employed (full or part time), unemployed and out of labour force. At the aggregate level, the main situations may be regrouped into broad categories relevant to the measurement of employment-related wellbeing, such as:
240		-
241		-* full-year/full-time employment;
242		-* part-year/part-time employment with no unemployment:
243		-** for voluntary reasons;
244		-** for involuntary reasons;
245		-* part-year employment with some unemployment;
246		-** mainly unemployment: o with some employment;
247		-** without employment;
248		-** mainly out of labour force with some employment.
249		-
	246	+1.
	247	+1*. part-year employment with some unemployment; ● mainly unemployment: o with some employment; o without employment;
	248	+1*. mainly out of labour force with some employment.
250	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.
251	251
252	252	=== Periodicity ===