David Hunter Representing the ILO Department of Statistics Revision of International Classification of Status in Employment (ICSE-93) David Hunter Representing the ILO Department of Statistics ILO Department of Statistics

Process Working group (met four times from May 2015-September 2017) Regional meetings Tripartite Meeting of Experts (February 2018) Report and draft resolution to be presented at the 20th ICLS in Geneva (10-19 October 2018) Resolution concerning statistics on work relationships

Main conclusions from MoE In general a strong support for the new framework Strong support for structuring ICSE-18 in two different hierarchies: according to type of authority and according to type of economic risk For the inclusion of the different forms of work in ICSaW-18 Several minor clarifications, changes, updates Dependent contractors: strong but not universal support for inclusion of dependent contractors. There was a need for further work on details of the definition and supporting guidelines Definition of employers: Proposed boundary of having employees in the reference period was supported by some but opposed by others preference for using ‘regularly’ engage employees as boundary. Employees: Boundary to distinguish fixed-term from short-term and casual employees, which was proposed as 1 month. Several experts preferred a change to three months which would Ensure the group might be large enough to measured in typical household surveys Better align with legal and administrative concept of short-term employment in several countries Cross cutting variables: domestic workers, multi-party relationship and reasons for non-permanent job required substantial redrafting ILO Department of Statistics

Outline of proposed new standards for statistics on work relationships Conceptual framework for statistics on work relationships defines the key concepts, variables and classification schemes to be included in the new standards Revised international Classification of Status in Employment (ICSE-18) Comprises ten categories applicable to employment and that can be organised in two different hierarchies International Classification of Status at Work (ICSaW-18) Extension of the classification of Status in Employment to cover all forms of work, including own-use production work, volunteer work and unpaid trainee work, as well as employment. A set of cross-cutting variables That supports the derivation and analysis of the status at work categories Guidance on measurement ILO Department of Statistics

Classification of status based on type of Authority/dependency (ICSE-18-A) Independent workers Employers Employers in corporations Employers in household market enterprises Independent workers without employees Owner-operators of corporations without employees Own-account workers in household market enterprises  Dependent workers Employees Permanent employees Fixed-term employees Casual and short-term employees Paid apprentices, trainees and interns Dependent contractors Contributing family workers

Classification of status based on the type of economic Risk (ICSE-18-R) Workers in employment for profit Employers in household market enterprises Own-account workers in household market enterprises Dependent contractors Contributing family workers Workers in employment for pay Owner-operators of corporations Employers in corporations Owner-operators of corporations without employees Employees Permanent employees Fixed-term employees Casual and short-term employees Paid apprentices, trainees and interns

ICSaW-18 ICSE-18-A versus ICSE-93 -Employment -Own-use production work I Independent workers 1 Employers 11 Employers in cooperations 12 Employers in household market enterprises 13 Employers in own-use production of services 14 Employers in own-use production of goods 2 Independent workers without employees 21 Owner-operators of corporations without employees 22 Own-account workers in household market enterprises without employees 23 Independent workers in own-use production of services without employees 24 Independent workers in own-use production of goods without employees 25 Direct volunteers D Dependent workers 3 Dependent contractors 30 Dependent contractors 4 Employees 41 Permanent employees 42 Fixed-term employees 43 Short-term and casual employees 44 Paid apprentices, trainees and interns 5 Contributing family workers 51 Contributing family workers 52 Family helpers in own-use production of services 53 Family helpers in own-use production of goods 6 Unpaid apprentices, trainees and interns 60 Unpaid apprentices, trainees and interns 7 Organization-based volunteers 70 Organization-based volunteers 9 Other workers 90 Other workers -Employment -Own-use production work -Unpaid trainee work -Volunteer work -Other work activities 5 Family helpers Measurement frequency for different forms of work may differ and will be based on national priorities ILO Department of Statistics

Dependent contractors Workers who have contractual arrangements of a commercial nature to provide goods or services for or on behalf of another economic unit, are not employees of that economic unit, but are dependent on that unit for organization and execution of the work or for access to the market. Relatively high level of economic risk (work for profit) but have less degree of authority (dependent workers) (Between employees and Own-account workers in household market enterprises without employees) Proposed definition “workers employed for profit, who are dependent on another entity that exercises explicit or implicit control over their activities and directly benefits from the work performed by them” The dependency might be of an operational nature, through organization of the work and/or economic nature such as through control over access to the market, the price for the goods or services produced, or access to raw materials or capital items In addition a set of characteristics that do apply, or may apply, and that excludes workers from being defined as dependent contractors is provided Gives a direction on possible operationalization of the identification of dependent contractors Maintaining a degree of flexibility ILO Department of Statistics

Cross-cutting variables The classification is complemented by a set of cross-cutting variables that provides information for characteristics that cut across several status categories Output variables and categories to promote greater harmonization, coherence and international comparablity Many of these are regulary covered by most LFS but are not covered by international standards ILO Department of Statistics

Cross-cutting variables Required Duration of work agreement Type of employment agreement Contractual hours of work Forms of remuneration Place of work Job-dependent social protection coverage Reason for non-permanence of job Essential Duration of employment in the current economic unit Seasonal workers Preference for a non-permanent job Usual hours worked Full-time/part-time status Domestic workers Home-based workers Multi-party work relationships Paid annual leave Paid sick leave Recommended number of employees in the economic unit in which the worker is employed main form of remuneration reasons for preferring a non-permanent job ILO Department of Statistics

Measurement approach ILO has in parallel develop a first draft measurement approach that can be used as guidelines by countries for collecting ICSE-18 and the cross-cutting variables Dynamic guidelines LFS, Administrative sources, establishment surveys Based on current practices and test results Tests have been / are being carried out in: Thailand, Singapore, Finland, Denmark, Italy, Mexico, Chile, Ecuador, Uruguay, El Salvador and the Pacific community ILO Department of Statistics

Next steps ICLS in Geneva 10th to 19th October, 2018 Possible to access and comment on the draft resolution before the meeting in the electronic forum Testing continues and will continue after the ICLS Partners sought for testing on dependent contractors (both self-employed and employees) and other issues such as zero hours contracts, multi party relationships Tests can feed into the development of data collection guidelines ILO Department of Statistics

Thank you ILO Department of Statistics