Skip to content.
Personal tools
Have you seen?

Have you seen?

Think you might have the skills to serve on a government board? Find out here.

Hot Topics

Status of Women in new zealand

New Zealand's 6th CEDAW report to the United Nations has been released.

 

Analysis of Graduate Income Data 2002-2007 by Broad Field of Study

Working paper by the Ministry of Women's Affairs

March 2010

 

Click HERE for a PDF [1.1 MB] version of this report

 

Contents

Introduction
Executive Summary
Purpose
Data Limitations
Field of Study – Differences in study patterns between men and women
Student Numbers entering employment 2002-2007
Graduate Incomes
A Premium Exists for Higher Education
Conclusions
APPENDIX - Breakdown of Graduate Numbers by Area of Study

TABLES

Table 1: Percentage of domestic bachelor’s degree graduates in 2006 by broad field of specialisation and gender
Table 2: The five most common narrow fields of study for women and men graduating with a bachelor’s degree in 2006
Table 3: The five most and least common narrow fields of specialisation for domestic female bachelor’s degree graduates in 2006
Table 4: Females and males earning income one year after leaving study by field of study 2003 and 2007
Table 5: Drop in numbers of male and female students earning income after 5 years
Table 6: Percentage increase in income after 5 years post-study (students  leaving study in 2002, Level 7 and above)
Table 7: Percentage difference in income for women with level 1-7 qualification and level 7+ qualification by field of study after 1 (2002) and 5 years (2006)

GRAPHS
Graph 1: Income gap between men and women with level 7+ qualifications 1 year after leaving study (year of leaving)
Graph 2: Average percentage income gap between male and female graduates 1 and 5 years after leaving study 2002-2007

 


 

Introduction

This paper is a preliminary step in the first of four workstreams designed to better understand and address the causes of the gender pay gap. The four workstreams are:

  • Understanding the differences in pay between male and female workers with tertiary education
  • Occupational segregation: promoting trades and removing barriers for women
  • Career pathways for women in low-paid occupations
  • Making the business case for flexible work arrangements.

 

The work results from additional funding announced in the 2009 Budget of $2 million over four years to do more work on the gender pay gap.

 

Executive Summary

The Ministry of Women’s Affairs has completed a limited analysis of male and female graduate incomes using the Student Loans and Allowances Integrated dataset of students who left university between 2001 and 2006. The study examined differences in income between male and female graduates one and five years after entering employment following completion of a level 7 (bachelor’s degree) or higher qualification. The analysis is limited because the field of study data was provided in terms of broad fields (e.g. Health, Education, Management and Commerce) and the income data (sourced from Inland Revenue) provides no information on hours of work or occupation.  

Key findings are:

  • Women continue to graduate in increasing numbers and 62 percent of all bachelors’ graduates in 2006 were women. While women remained dominant in the fields of teaching and nursing they also outnumbered men in business and management, sales and marketing, and law, the top fields of graduation for men in 2006.
  • The least preferred fields of study for women were engineering and related technologies, and information technology where men outnumbered women by five to one and four to one respectively.
  • One year after entering employment the average income gap between men and women with a bachelor’s qualification or above was around 6 percent, after five years (2002 -2006)  the average income gap had increased to 17 percent. While these figures mask significant variations across fields of study, it is a notable gap that warrants further examination.
  • There was a significant premium for women attached to gaining a bachelor’s level or above qualification with income premiums 20 to 47 percent higher after five years.

 

Purpose

The purpose of this paper is to analyse the differences in incomes between men and women leaving tertiary education and entering the workforce. The analysis uses data from the Student Loans and Allowances Integrated data set. This data set links income data from Inland Revenue to individuals through their student loan number. The analysis therefore only includes those students entering employment who also had a student loan. The uptake of student loans throughout the period analysed varied from 72-82 percent for full time students. The income data is linked to the student’s field of study so we are able to look at differences in income by field of study after one and five years in the labour market.

 

Data Limitations

The analysis is limited because the data does not capture occupation or hours of work and, therefore, does not allow us to understand the reasons behind observed income differences. Income is also linked only to broad fields of study within which there are often many different narrower fields. The most diverse is society and culture which includes the relatively high earning fields of economics and law alongside the relatively lower earning fields of social sciences and languages. The Ministry of Education has analysed in more depth trends in the narrower fields of study for students graduating with a bachelor’s degree and some of those findings are referred to in this paper.

The Department of Statistics, in collaboration with the Ministry of Education, also released on 30 September  an analysis of what tertiary students earn using a narrower breakdown of field of study. The Ministry of Education/Statistics analysis does not analyse earnings by gender, but confirms that qualifications matter and that study which relates most closely to occupation provides the best returns.

The focus of this study is on men and women leaving tertiary education with a level 7 or above qualification (equivalent to a bachelor’s degree or higher). The majority of students leave with a bachelor level qualification. The appendix to this paper provides tables of the numbers of males and females by field of study as well as the numbers of men and women earning income one and five years after graduating.

 

Field of Study – Differences in study patterns between men and women

Over the past decade the numbers of young people engaged in tertiary education have increased significantly. Women now occupy more than 60 percent of university places while men are more likely to be studying at a polytechnic or technical institute. The three most common fields of study at bachelor degree level have remained unchanged over the last five years – teacher education, business and management, and studies in human society. Biological sciences, law, and sales and marketing have increased in popularity.

Table 1: Percentage of domestic bachelor’s degree graduates in 2006 by broad field of specialisation and gender

Table1 

Table 1 shows the distribution of men and women by field of study graduating with a bachelors’ degree in 2006. It shows that women are now studying in greater numbers across every broad field of study except in the fields of Engineering and Information Technology. The proportion of domestic bachelors’ graduates who were female remained about the same between 2002 and 2006 at around 62 percent. There were two fields where females increased their share of graduates from under 50 percent to over 50 percent between 2002 and 2006.

In agriculture, women were 51 percent of graduates compared with 32 percent in 2002, while in the health field women made up 62 percent of graduates in dental studies (includes both dentistry and allied dental professions) compared with 35 percent in 2002 (Scott, 2009).

Scott (2009) explores in some depth the fields of study at bachelor level within a narrower breakdown. Table 2 below shows the top five narrow fields of study that men and women with a bachelor’s degree graduated from in 2006. While teaching and nursing are the dominant fields of study for women, women outnumber men in business and management, sales and marketing, and law, the top fields of graduation for men. Further analysis of the numbers of male and female graduates within each broad field of study broken down into their narrower fields reveals the dominance of women within almost all fields that were, in the past, dominated by men. For example, all medical specialties, with the exception of surgery, are now more heavily populated by women. Similarly across all fields of law, women graduates outnumber male graduates.

Table 2: The five most common narrow fields of study for women and men graduating with a bachelor’s degree in 2006

Women

Men

Field of study
(narrow level)

Number of graduates

Percentage of all females

Field of study
(narrow level)

Number of graduates

Percentage of all males

Teacher Education

1,820

13.9%

Business and Management

830

10.5%

Nursing

1,220

9.3%

Sales and Marketing

560

7.1%

Studies in Human Society

1,060

8.1%

Law

500

6.3%

Business and Management

980

7.5%

Studies in Human Society

490

6.2%

Law

810

6.2%

Information Systems

490

6.2%

All fields

13,060

100%

All fields

7,890

100%

Note: Students can be counted in more than one field

 

Table 3 provides data on the five most common and least common narrow fields of study for women who graduated with a bachelor’s degree in 2006 and the percentage of women graduating in these fields. Engineering and related technologies remain the area of study least preferred by women.

Table 3: The five most and least common narrow fields of specialisation for domestic female bachelors degree graduates in 2006

Most common

Least common

Field of study
(narrow level)

Number of female graduates

Percentage of graduates in this field who were female

Field of study
(narrow level)

Number of female graduates

Percentage of graduates in this field who were female

Nursing

1,290

94%

Mechanical and Industrial Engineering and Technology

260

9%

Teacher Education

2,100

87%

Electrical and Electronic Engineering and Technology

410

11%

Curriculum and Education Studies

930

86%

Civil Engineering

240

14%

Human Welfare Studies and Services

430

85%

Physics and Astronomy

90

15%

Radiography

110

83%

Computer Science

540

16%

All fields

13,060

62%

All fields

13,060

62%

Note: Students can be counted in more than one field

 

Student Numbers entering employment 2002-2007

The Student Loans and Allowances Integrated data used in the following analysis shows that numbers of women entering the workforce with a bachelor’s degree and above increased by almost 100 percent in 2007 compared with 2002 (from 8,331 to 15,966). Male numbers increased by two thirds but from a lower base increasing from 6333 to 10,086. For those leaving with a level 1-7 qualification, numbers of women more than doubled over this five year period, increasing from 12,408 to 26,907, while numbers of men entering employment with a level 1-7 qualification had increased from 13,726 to 21,860.

Table 4 shows the numbers of male and female students who were earning income a year after leaving by their field of study in both 2001 and 2006 with level 7 and above qualifications. The table confirms that by 2007 more women than men were entering the workforce from almost every field of study. Women dominated health, education, society and culture (incorporates law), the creative arts, and management and commerce. Males remained dominant in information technology, engineering, and the natural and physical sciences and, in the former two fields, outnumbered women by five to one and, four to one respectively in 2006 (the year in which they left study). On the other hand women outnumbered men by four to one and three to one respectively in the fields of education and health.

Table 4: Females and males earning income one year after leaving study by field of study 2003 and 2007

Level 7 +

2002+


2006+



Males

Females

Males

Females

Natural and physical sciences

741

483

1101

1035

Information technology

429

132

414

123

Engineering and related technologies

417

114

762

168

Architecture and building

126

66

171

123

Agriculture, environmental and related studies

123

90

186

180

Health

357

1245

594

2736

Education

663

1845

816

3105

Management and commerce

1551

1590

2493

2697

Society and culture

1227

1779

2244

3783

Creative arts

456

690

804

1338

Food, hospitality and personal services

3

30

9

57

Mixed field programmes

240

267

492

621

Total

6333

8331

10086

15966

* Year of leaving – income earned in following year.

 

Table 5 shows the numbers of men and women with a level 7 or higher qualification who left study in 2001 still earning income five years later. As the table shows, there is a significant decrease in the numbers of students who left in a particular year who were still in the workforce five years on.

Table 5: Drop in numbers of male and female students earning income after 5 years

Level 7+

2002

2007

% change

2002

2007

% change


Males

 

 

Females

 

 

Natural and physical sciences

741

528

28.7

483

357

26.1

Information technology

429

351

18.2

132

111

15.9

Engineering and related technologies

417

279

33.1

114

72

36.8

Architecture and building

126

90

28.6

66

48

27.3

Agriculture, environmental and related studies

123

96

22.0

90

69

23.3

Health

357

234

34.5

1245

969

22.2

Education

663

570

14.0

1845

1,605

13.0

Management and commerce

1551

1,107

28.6

1590

1,194

24.9

Society and culture

1227

924

24.7

1779

1,323

25.6

Creative arts

456

354

22.4

690

495

28.3

Mixed field programmes

240

180

25.0

267

219

18.0

Total

6333

4,713

25.6

8331

6,462

22.4

 

One in four men and more than one in five women who began earning income in 2002 were no longer earning income five years later (25.6 percent men and 22.4 percent women). This is likely to be the result of graduates either going overseas or returning to further study.

 

Graduate Incomes

This section looks at differences in the incomes earned by men and women with a higher level qualification (level 7 and above). Graph 1 shows the gap in average incomes earned by men and women one year after leaving study for those with a level 7 or higher qualification over the years 2002 to 2007. After one year of employment the income gap between male and female graduates averages around 6 percent. This average masks quite significant variations within different fields of study. Women leaving with information and technology or agricultural and environmental qualifications, for example, earned more on average after one year than men. On the other hand, the income gap for males and females with a health qualification averaged more than 20 percent within a year.  

Graph 1: Income gap between men and women with level 7+ qualifications 1 year after leaving study (year of leaving)

Graph-1-GID 

 

Table 6 shows that over most fields men are gaining significantly larger percentage increases in income than women five years out from leaving study. For students finishing in 2002 with a level 7+ qualification, the disparity ranged from 7 percent (creative arts) to 42 percent (agriculture). While these numbers may be skewed by the very small number of students choosing to study agriculture at Level 7 and above, the way in which the incomes of men who studied agriculture were growing at a far higher rate than those of women is striking, particularly given a breakdown of agriculture into narrower fields shows little difference in terms of what was studied within agriculture by men and women. The difference in the income progression of management and commerce majors is also interesting as, again the fields of study within management and commerce are not noticeably different between men and women.

Table 6: Percentage increase in income after 5 years post-study (students leaving study in 2002, Level 7 and above)

Field of Study Percentage increase in salary after 5 years post-study (men) Percentage increase in salary after 5 years post-study (women) Percentage point difference in increase between men and women
Physical Sciences 63 47 16
Information Technology 62 53 9
Engineering 61 33 28
Agriculture 78 36 42
Health 61 28 33
Education 35 26 9
Management and Commerce 64 43 21
Society and Culture 56 38 18
Creative Arts 57 50 7
 

The differences in income progression between men and women shown above, translate after five years, into an average income gap between men and women who left study in 2002 of 17 percent (as shown in Graph 2). While that figure also masks significant variations, as the table above shows, it is a significant gap. It is not possible from this data to say what is driving this gap but, given that women outnumber men in almost every field of study, it is of some concern their incomes are falling significantly behind after just five years in the workforce. It suggests that women are not progressing as quickly in their careers as men, or that women are choosing careers which are not as well paid. Alternatively it may be that men are simply being paid more for their qualifications than women because they negotiate better starting salaries and ongoing increases in pay.

Graph 2: Average percentage income gap between male and female graduates 1 and 5 years after leaving study 2002-2006

Graph-2-GID 

 

 

A Premium Exists for Higher Education

While the income gap for men and women with a level 7+ qualification is notable and warrants further investigation into what is driving this gap, Table 7 below shows it is still worthwhile for women to gain a tertiary level qualification. Income premiums for women with a bachelor’s degree or higher range from 9 to 42 percent in the first year across different fields of study and remain at 20-47 percent after five years. The largest differentials occur in the fields of management and commerce, and health. This is what we would expect given the costs of investing in a longer tertiary education.

Table 7: Percentage difference in income for women with level 1-7 qualification  and level 7+ qualification by field of study after 1 (2002) and 5 years (2006)

Field of Study     After 1 year (%) After 5 years (%)
Information Technology 24.0 36.0
Engineering & Related technologies 35.0 31.0
Agriculture 36.9 46.6
Health 41.3 41.1
Education 21.0 21.1
Management &Commerce 34.8 39.3
Society and Culture 21.8 26.6
Creative Arts 14.0 20.2

 

 

Conclusions

The findings establish a clear income differential between men and women who graduate within the same fields of study. The income gap emerges after only one year (men are paid 6 percent more on average) and increases to 17 percent after five years.

While the income gap varies between different fields of study, no matter what area of study is pursued an income gap in favour of men has emerged after five years.

It should be noted, however, that the Inland Revenue data used in this study is limited because it does not provide us with information regarding occupation, and the fields of study are extremely broad. Notwithstanding that, we would not expect to see income levels diverging as significantly as they appear to after five years, particularly given the years immediately after leaving tertiary education are likely to be prime earning years and, for women, less likely to be affected by the arrival of children. Similar findings were reported by Mare and Hyslop in 2006 who, in a comprehensive analysis of 1996 and 2001 census data, found that across most fields of study, median incomes for women were lower than for men, particularly in the higher income percentiles. This work is currently being updated using 2006 census data.

On a positive note, the data validate the higher returns that can be earned by both men and women from investing in education: your income is likely to be significantly higher if you have a bachelor’s degree or above, regardless of gender. Increasing numbers of women are studying for a higher level qualification and this will have improved their income earning potential.

A number of issues for further examination arise from the findings, including:

  • Whether it boils down to salary differentials or whether the differences are explained by the occupations that men and women choose and the motivations that lie behind the career decisions made by men and women.
  • Whether women are more likely to start on a level playing field in some occupations if they had better information about negotiating and startng salaries.
 

Future work by the Ministry will aim at answering these questions and ensuring that women are armed with information on pay differences to use at key points in their careers (e.g. when deciding which subjects to study; when negotiating their employment contract for their first job after graduating).

Understanding what these data tell us is not just important for the women concerned, but also for the New Zealand economy. Lower income points towards a likely under-utilisation of women’s education and skills, yet demographic trends suggest that economic growth will be increasingly dependent on increased women’s participation in the workforce.

The data also raise some important questions that are not specifically to do with gender. For example, given the costs of educating a person to level 7 and above, it is interesting to note than more than one in five graduate men and women are no longer earning income in New Zealand after five years. In the case of women, this is unlikely to be explained by taking time out to have children as the average age of childbirth is now 28. The more likely explanations are departure overseas or a return to further study. Travelling and working overseas is a common rite of passage for many New Zealanders in their twenties and an opportunity to gain experience that cannot necessarily be gained in New Zealand. Provided these men and women return to New Zealand the investment in their education is not lost and may be enhanced through their experiences elsewhere. This is another area that may warrant further exploration.

 

APPENDIX - Breakdown of Graduate Numbers by Area of Study

  1. Number of Graduates by Field, 2006
  2. Total Number of Graduates, All Fields Combined, 2006
  3. Number of Male and Female Graduates: Natural and Physical Sciences
  4. Numbers of Graduates: Natural and Physical Sciences
  5. Number of Graduates in Natural and Physical Sciences (2002) Earning Income
  6. Number of Male and Female Graduates: Information Technology
  7. Number of Male and Female Graduates: Information Technology
  8. Number of Graduates: Information Technology (2002) Earning Income
  9. Number of Graduates: Engineering and Related Disciplines
  10. Numbers of Graduates: Engineering and Related Technologies
  11. Numbers of Graduates in Engineering and Related Disciplines (2002) Earning Income
  12. Number of Graduates: Architecture and Building
  13. Number of Graduates: Architecture and Building
  14. Number of Graduates in Architecture and Building (2002) Earning Income
  15. Number of Graduates: Agriculture, Environmental and Related Studies
  16. Number of Graduates: Agriculture, Environmental and Related Studies
  17. Number of Graduates in Agriculture, Environmental and Related Studies (2002) Earning Income
  18. Number of Graduates: Health
  19. Number of Graduates: Health
  20. Number of Graduates in Health (2002) Earning Income
  21. Number of Graduates: Education
  22. Number of Graduates: Education
  23. Distribution of Male and Female Graduates: Pre-Service Courses
  24. Number of Graduates in Education (2002) Earning Income
  25. Number of Graduates: Management and Commerce
  26. Number of Graduates: Management and Commerce
  27. Number of Graduates in Managment and Commerce (2002) Earning Income
  28. Number of Graduates in Society and Culture
  29. Number of Graduates: Culture and Society
  30. Number of Graduates in Society and Culture (2002) Earning Income
  31. Number of Graduates: Creative Arts
  32. Number of Graduates: Creative Arts
  33. Number of Graduates in Creative Arts (2002) Earning Income

 

 

1.    Number of Graduates by Field, 2006

GID-graph1 

 

 

2.    Total Number of Graduates, All Fields Combined, 2006

GID-graph2

 

 

3.    Number of Male and Female Graduates: Natural and Physical Sciences

GID-graph3

 

 

4.    Numbers of Graduates: Natural and Physical Sciences

GID-graph4

Note: figures in this chart exclude the category ‘Other Natural and Physical Sciences.’

 

 

5.    Number of Graduates in Natural and Physical Sciences (2002) Earning Income

GID-graph5

 

 

6.    Number of Male and Female Graduates: Information Technology

GID-graph6

 

 

7.    Number of Male and Female Graduates: Information Technology

GID-graph8

Note: figures in this chart exclude the category ‘Other Information Technology.’

 

 

8.    Number of Graduates in Information Technology (2002) Earning Income

GID-graph9

 

 

9.    Number of Graduates: Engineering and Related Disciplines

 GID-graph9

 

 

10.  Numbers of Graduates: Engineering and Related Technologies

GID-graph10

Note: figures in this chart exclude the category ‘Other Engineering and Related Technologies.’ ‘Engineering and Related Technologies (Additional)’ includes Manufacturing and Process Engineering, Geomatic Engineering and Aerospace Engineering.

 

 

11.  Numbers of Graduates in Engineering and Related Disciplines (2002) Earning Income

GID-graph11

 

 

12.  Number of Graduates: Architecture and Building

GID-graph12 

 

 

13.  Number of Graduates: Architecture and Building

GID-graph12

 

 

14.  Number of Graduates in Architecture and Building (2002) Earning Income

GID-graph13

 

 

15.  Number of Graduates: Agriculture, Environmental and Related Studies

GID-graph14

 

 

16.  Number of Graduates: Agriculture, Environmental and Related Studies

GID-graph15

Note: figures in this chart exclude the category ‘Other Agriculture, Environmental and Related Studies.’

 

 

17.  Number of Graduates in Agriculture, Environmental and Related Studies (2002) Earning Income

GID-graph16

 

 

18.  Number of Graduates: Health

GID-graph17

 

 

19.  Number of Graduates: Health

GID-graph18

Note: figures in this chart exclude the category ‘Other Health.’ The category ‘Health (Additional): Total’ includes Pharmacy, Dental Studies, Optical Science, Veterinary Studies, Radiography and Complementary Therapies.

 

 

20.  Number of Graduates in Health (2002) Earning Income

 

GID-graph19

 

 

21.  Number of Graduates: Education

GID-graph20

 

 

22.  Number of Graduates: Education

GID-graph21

Note: this chart excludes the category ‘Other Education.’

 

 

23.  Distribution of Male and Female Graduates: Pre-Service Courses

GID-graph22

Note: ‘All Other Pre-Service’ includes General Pre-Service, Bilingual Primary Teacher Training and Immersion Primary Teacher Training.

 

 

24.  Number of Graduates in Education (2002) Earning Income

GID-graph23

 

 

25.  Number of Graduates: Management and Commerce

GID-graph24

 

 

26.  Number of Graduates: Management and Commerce

GID-graph25

Note: this chart excludes the category ‘Other Managment and Commerce.’

 

 

27.  Number of Graduates in Managment and Commerce (2002) Earning Income

GID-graph26

 

 

28.  Number of Graduates in Society and Culture

GID-graph27

 

 

29.  Number of Graduates: Culture and Society

GID-graph28

Note: this chart excludes the category ‘Other Society and Culture.’ The category ‘Society and Culture (Additional)’ includes Political Science and Policy Studies; Human Welfare Studies and Services; Librarianship, Information Management and Curatorial Studies; Philosophy and Religious Studies; Economics and Econometrics; and Sport and Recreation.

  

 

30.  Number of Graduates in Society and Culture (2002) Earning Income

GID-graph29

 

 

31.  Number of Graduates: Creative Arts

GID-graph30

 

 

32.  Number of Graduates: Creative Arts

GID-graph31

Note: this chart excludes the category ‘Other Creative Arts.’

 

 

33. Number of Graduates in Creative Arts (2002) Earning Income

GID-graph32

 

 

Analysis of Graduate Income Data 2002-2007 by Broad Field of Study
March 2010

Ministry of Women’s Affairs
PO Box 10049
Wellington 6143
New Zealand
www.mwa.govt.nz
mwa@mwa.govt.nz

ISBN 978-0-478-35501-7

 
Last modified: Mar. 11, 2010 4:54 pm