Skill Shortages: Occupations in Shortage in New Zealand
14 Appendix A: New Zealand Standard Classification of Occupations (NZSCO)
A skills-based classification system
The New Zealand Standard Classification of Occupations (NZSCO) is a skills-based, hierarchical classification system that categorises the type of work that is performed in a job. Occupational groupings are differentiated from each other according to the responsibilities, tasks, training required, and experience common to that group.
Skills in the NZSCO are defined according to 'skill level' and 'skill specialisation'. These two definitions are used to classify occupations within the NZSCO structure. Occupations are assigned to the highest level, known as 'major groups', based on their required skill level. Occupations are assigned to lower levels, known as 'sub-major' and 'minor groups', based on progressively finer interpretations of skill specialisation.
Skill level reflects the complexity and range of tasks involved. Skill specialisation reflects the field of knowledge required to perform the tasks, the tools and equipment used, the materials worked with, and goods and services produced. Skill specialisation allows the major groups to be subdivided into sub-major groups, minor groups, and unit groups.
Using the five-level hierarchical structure
The NZSCO uses a five-level hierarchical structure of classification. At the highest level there are nine major groups. Major groups are loosely organised from highly skilled (major group 1) to less skilled (major group 9). Each major group can be further subdivided into four other levels (see appendix table 1):
- sub-major group
- minor group
- unit group
- occupation.
The more digits a classification level has, the more detailed the occupational group is. Occupations are most detailed at the 5-digit level.
| Major groups | Sub-major groups | Minor groups | Unit groups | Occupations |
|---|---|---|---|---|
| Total | 25 | 99 | 260 | 565 |
| 1 Legislators, administrators, and managers | 2 | 6 | 14 | 34 |
| 2 Professionals | 4 | 17 | 46 | 99 |
| 3 Technicians and associate professionals | 3 | 16 | 54 | 119 |
| 4 Clerks | 2 | 6 | 18 | 34 |
| 5 Service and sales workers | 2 | 8 | 17 | 36 |
| 6 Agriculture and fishery workers | 1 | 4 | 14 | 35 |
| 7 Trades workers | 4 | 14 | 31 | 64 |
| 8 Plant and machine operators and assemblers | 4 | 20 | 58 | 127 |
| 9 Elementary occupations | 3 | 8 | 8 | 17 |
The example in Appendix table 2 below shows the five-level hierarchical structure for 'primary school teacher'.
| Group | Level | Code | Description |
|---|---|---|---|
| Major group | 1 | 2 | Professional |
| Sub-major group | 2 | 23 | Teaching professionals |
| Minor group | 3 | 232 | Primary and early childhood teaching professionals |
| Unit group | 4 | 2331 | Primary teaching professionals |
| Occupation | 5 | 23311 | Primary school teacher |
Appendix B: Methodology for the SERA
The Survey of Employers who have Recently Advertised (SERA) is a short telephone survey of employers who have recently advertised job vacancies. The purpose of the survey is to identify occupations in which employers are having difficulty filling vacancies.
Research New Zealand was contracted by the Department of Labour to carry out SERA 2007. A total of 4,175 interviews were completed with employers (or recruitment agencies). These employers were attempting to fill a total of 6,930 vacancies[7]. The response rate for the survey was 63%.
Earlier large sample SERA were conducted in-house by the Department in 2003 (February to December), 2005 (May to August) and 2006 (May to October), with no equivalent survey being conducted in 2004.
The survey sample was drawn primarily from the Department's Job Vacancy Monitor[8] (JVM) but was also supplemented from various internet job boards and specialist websites when there was difficulty reaching sample quotas for particular occupations from the JVM. The SERA 2007 sample was stratified on the following basis:
- A total of 2,500 completed interviews covering three major occupation groups: professionals, technicians and associate professionals, and trades workers. A cap of 40 interviews was placed on large occupations, and a minimum of 10 interviews was sought for some small occupations that were thought to be of particular interest.
- A total of 1,700 completed interviews covering all six other major occupation groups. The sample size for each was based on the group's share of total employment.
Employers were approached 6 to 10 weeks after advertising and were asked whether they had filled their vacancy, and the number of suitable applicants (including whether they had the right to work in New Zealand at the time they were interviewed). Employers were phoned back if they had not yet filled the position on offer, but they expected to do so within 10 weeks of advertising.
Vacancies that were not filled with a suitable candidate within 10 weeks of advertising were deemed to not be filled (even if there was some chance of the vacancy being filled after the 10 week cut-off point). It is possible that this business rule may impact on some occupations more than others (e.g. highly paid positions, which are typically advertised through recruitment agencies, may take longer to finalise appointments).
If the appointee to any position did not have the qualifications and experience to be regarded by the employer as a member of the occupation being advertised (e.g. a book-keeper being appointed to an accountant vacancy), then the vacancy was deemed to not be filled.
Weighting
Fill rates presented at the NZSCO 1-digit, 2-digit and 3-digit level were weighted to compensate for any under or over sampling of individual occupations in the survey. Weights were calculated for each occupation[9] with a view to make the vacancy counts from the SERA sample reflective of the total newspaper vacancy counts from the JVM. Data from the 2007 and 2006 SERA were each weighted separately based on vacancy levels in the JVM at a similar time to the survey being carried out. As the JVM does not currently include web-based vacancies or vacancies published in community papers, the weighted fill rates are only reflective of newspaper vacancy counts rather than total vacancy counts.
The SERA carried out in 2003 and 2005 both excluded a few 5-digit occupations from the technician and associate professional occupational group (e.g. sales representatives and technical representatives). As these occupations account for a reasonable proportion of advertised newspaper vacancies within this NZSCO group, the weighted fill rates for the major group from 2003 and 2005 are not comparable with that for 2006 and 2007 (which did include these occupations). For this reason, fill rates are not shown in the report for 2003 or for 2005 for the NZSCO groups 3, 33, and 331.
Outliers
Individual employers who were advertising 15 or more vacancies for an individual occupation were excluded from calculations so as to not unduly bias fill rates. It can be noted that 67% of employers were advertising only 1 vacancy and 18% were advertising 2 vacancies, with only 1% of employers advertising 15 or more vacancies.
Sample error
The fill rates presented in this report are subject to sampling error, which must be considered when interpreting the results. The larger the sample size that a fill rate is calculated from (in this case, the number of vacancies included in the SERA), the smaller the sample error will be. For example, the maximum margin of error at a confidence level of 95% for various sample sizes is as follows:
| Population Size | Sample Size |
Fill rate | 95% Confidence Interval (+/-) |
|---|---|---|---|
| 1000 | 40 | 50% | 15% |
| 600 | 40 | 50% | 15% |
| 500 | 40 | 50% | 15% |
| 400 | 40 | 50% | 15% |
| 300 | 40 | 50% | 15% |
| 200 | 40 | 50% | 14% |
| 100 | 40 | 50% | 12% |
| 60 | 40 | 50% | 9% |
| 1000 | 20 | 50% | 22% |
| 600 | 20 | 50% | 22% |
| 500 | 20 | 50% | 22% |
| 400 | 20 | 50% | 22% |
| 300 | 20 | 50% | 22% |
| 200 | 20 | 50% | 21% |
| 100 | 20 | 50% | 20% |
| 50 | 20 | 50% | 17% |
| 30 | 20 | 50% | 13% |
| 1000 | 15 | 50% | 26% |
| 100 | 15 | 50% | 24% |
| 50 | 15 | 50% | 22% |
| 25 | 15 | 50% | 17% |
For example, if 40 out of 1,000 advertised job vacancies were sampled and the fill rate in the sample was 50%, the 95% confidence interval (or margin of error) would be 50% ±15% (i.e. 35-65%).
Questionnaire
The SERA 2007 questionnaire is available upon request.
For further information contact: info@dol.govt.nz
Disclaimer: The Department of Labour has made every effort to ensure that the information contained in this report is reliable, but makes no guarantee of its accuracy or completeness and does not accept any liability for any errors. The information and opinions contained in this report are not intended to be used as a basis for commercial decisions and the Department accepts no liability for any decisions made in reliance on them. The Department may change, add to, delete from, or otherwise amend the contents of this report at any time without notice. The material contained in this report is subject to Crown copyright protection unless otherwise indicated. The Crown copyright protected material may be reproduced free of charge in any format or media without requiring specific permission. This is subject to the material being reproduced accurately and not being used in a derogatory manner or in a misleading context. Where the material is being published or issued to others, the source and copyright status should be acknowledged. The permission to reproduce Crown copyright protected material does not extend to any material in this report that is identified as being the copyright of a third party. Authorisation to reproduce such material should be obtained from the copyright holders.
Footnotes
[7] Short-term vacancies (i.e. for periods of less than 3 months) were excluded from the survey.
[8] The JVM programme began in November 2002 to gather and analyse detailed information on job vacancy advertisements. The JVM involves the monthly analysis of advertised job vacancies in 25 daily newspapers and two internet IT job boards.
[9] For the NZSCO major groups 2, 3 and 7 (which had the largest sample sizes in SERA 2007), weights were calculated at the 5-digit level, while for the other major occupational groups, weights were calculated at the 3-digit level.
