Journal of Balkan and Near Eastern Studies
ISSN: 1944-8953 (Print) 1944-8961 (Online) Journal homepage: http://www.tandfonline.com/loi/cjsb20
Gender and the Wage Gap in Turkish Academia
Meltem Ucal, Mary Lou O'Neil & Sule Toktas
To cite this article: Meltem Ucal, Mary Lou O'Neil & Sule Toktas (2015) Gender and the Wage
Gap in Turkish Academia, Journal of Balkan and Near Eastern Studies, 17:4, 447-464, DOI:
10.1080/19448953.2015.1063309
To link to this article: http://dx.doi.org/10.1080/19448953.2015.1063309
Published online: 14 Aug 2015.
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Date: 21 October 2015, At: 00:53
Journal of Balkan and Near Eastern Studies, 2015
Vol. 17, No. 4, pp. 447–464, http://dx.doi.org/10.1080/19448953.2015.1063309
Gender and the Wage Gap in Turkish
Academia
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Meltem Ucal, Mary Lou O’Neil and Sule Toktas
Turkey maintains one of the lowest female labour force participation rates in Europe, but
also boasts an above average number of female professors. Turkey is well above the
European average (15 per cent) with approximately 28 per cent of full professorships
being occupied by women. Despite these seemingly positive indications, do men and
women in Turkish academia earn the same wages? This study explores whether or not
there exists a gendered pay gap in Turkish academia. Using data collected from a survey
of more than 700 Turkish academics, we observed that there is a gendered wage gap that
disadvantages women, but only at the highest pay levels found at private universities
indicating the existence of intra-class inequality, where men and women despite
occupying the same class position are compensated differently.
Introduction
The global gender gap remains a stubborn problem. According to the World
Economic Forum’s Global Gender Gap Index,1 the worldwide gap has narrowed
considerably in both education and health and survival, but the gaps in both politics
and economics remain wide.2 In terms of political empowerment, 60 per cent of the
gap has been closed but just 21 per cent in economics. While the Global Gender Gap
Index is not based solely on economics, it is one of the main factors. In the Global
Gender Gap Report 2013, Turkey ranked 120th out of 134 countries.3 In economic
participation and opportunity, the country finds itself in 127th place. Turkey has an
abysmal rate of female labour force participation and women are regularly paid less
than men. While Turkey maintains one of the lowest female labour force
participation rates in Europe, it also boasts an above average number of female
professors.4 Turkey is well above the European average (15 per cent) with
approximately 28 per cent of full professorships being occupied by women.5
Moreover, Turkey has a Glass Ceiling Index of 1.25 indicating a relatively thin glass
ceiling.6 Despite these seemingly positive indications, do men and women in Turkish
academia earn the same wages? This study explores whether or not there exists a
gendered pay gap in Turkish academia. We found that there is a gendered wage gap
that disadvantages women but only at the highest pay levels found at private
universities. This paper begins with a review of the literature on the gendered wage
q 2015 Taylor & Francis
448
Meltem Ucal et al.
gap and then progresses to Turkey specifically. Finally, we present the findings from
our own survey of 700 Turkish academics.7
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The Gendered Wage Gap
There is ample evidence that a gendered wage gap exists in multiple countries and in
various sectors.8 Moreover, this is an issue that is not limited solely to
underdeveloped or developing countries, but also exists in advanced economies as
well. Grey-Bowen and McFarlane argue that gender discrimination in wages is, in
part, cultural, stemming from the belief that men and women are not equal, and
specifically that men are superior to women in terms of skills, leadership and
managerial abilities.9 These perceptions stem from a historical and unchanged
understanding of the roles and responsibilities of women, and can sometimes be
linked to cultural, social or religious beliefs that are unchanging. Women still spend
more time in household activities than men and thus, often have fewer opportunities
for work and assuming responsibilities in organizations and positions where they
would earn larger salaries than men.10
Discrimination against women in terms of pay is well documented.11 Research
demonstrates that this is a worldwide phenomenon covering industrial and nonindustrial countries alike. In a study of eight industrialized countries, Blau and Kahn
found that women earn between 25 and 40per cent less than men, while in the USA the
gap was 30 per cent.12 In Latin American and Caribbean countries, the wage gap
ranged between next to nothing to 45 per cent.13 In examining non-industrial nations,
Gupta found that the concentration of women in low-paying clerical and service
sector jobs contributed to the gender pay gap.14 In examining European Union (EU)
countries, Arulampalam et al. found that women were paid less in both the public and
private sectors.15 Weichselbaumer and Winter-Ebmer performed a meta-analysis of
more than 260 studies on the international wage gap finding that in samples
consisting of low-wage jobs the wage gap was higher than that found in samples
comprised of university graduates and academics.16 They also found that the wage gap
is much larger for married women than for those who are single, which follows
Becker’s finding that after marriage men focus on work and women on the
household.17 There is also a difference between the public and private sectors.
Weichselbaumer and Winter-Ebmer18 found that the gap between male and female
wages was smaller in the private sector and in studies that concentrated on a single
economic sector. Durnel explains that there is more parity in the public sector due to
lifetime employment contracts and the determination of wage increases by state
policy.19 Since the 1960s, the differential in pay for men and women has fallen steadily,
but this is due mainly to improvements in women’s education and training.20 In fact,
when one focuses on the aspect of the wage gap that is not attributable to human
capital variables, namely, discrimination, there appears to be no decrease.21 Despite
the improvement of women’s position generally in societies, they are still too often
confined to low-paying jobs with men taking high-paying jobs.22
Although often overlooked, there has also been exploration of the role of class
position on the gendered wage gap. Studies by Blau and Kahn found that due to the
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Gender and the Wage Gap in Turkish Academia
449
placement of women in primarily low-paying jobs, the resulting gender gaps are
supported by underlying class inequalities that disadvantage women.23 Research
demonstrates, however, that even as women move into more male-dominated
occupations, the extent of wage inequality has not necessarily decreased.24 This
points to the phenomenon of intra-class inequality understood as ‘differences in
earnings between men and women located within the same class’.25 Intra-class
inequality seems to arise as a result of two primary factors: sex segregation which
relegates men and women to different sectors of the economy that have differing pay
scales26 and outright discrimination against women.27
The literature on the pay gap in academia is extensive. Okpara et al. report that
female academics in the USA earn less and are less satisfied with their pay than their
male colleagues.28 The researchers discovered that women were concentrated in
lower academic ranks and that the wage gap was due to biases against pay increases
for promotions of women since the senior members responsible for the promotions,
in the universities, were male.29 Benjamin discovered that the wage gap is so pervasive
that men are paid more than women of similar rank at all levels within universities.30
In a study on gender earnings differentials among college administrators, Monks and
McGoldrick analysed the gender pay gap among the top five salary individuals at
private higher education institutions and identified a 13 per cent average pay
disadvantage for women.31 In a review of salaries of those in the American
Association of University Professors, full-time male professors earned 11.4 per cent
more than women at the same level.32 Those professors who earn tenure also report
higher salaries. Despite data which points to relatively high rates of gender equality in
Scandinavian countries, Seirestad and Healy found that in universities in Sweden,
Norway and Denmark, there is vertical segregation of women and that women overall
experience discrimination.33 Overall, European universities are marked by strong
vertical segregation, or a glass ceiling, which prevents women from advancing to the
highest ranks.34
The Wage Gap in Turkey
Turkey has one of the lowest female labour force participation rates of Organisation
for Economic Co-operation and Development (OECD) member countries and at 28
per cent is far below the OECD average of 58 per cent.35 Rising urbanization and the
decline in agricultural work have left the vast majority of women in Turkey outside
the labour market. Besides low female labour force participation, the rates of paid
employment for women are also low. Just 54 per cent of total female employment in
2012 was in paid labour activities.36 Moreover, in 2012, 33.7 per cent of all women
were employed as unpaid family workers.37 Women also experience higher rates of
unemployment than men.38 Those women who do find work are largely still confined
to the agricultural sector while their urban sisters are relegated to low-paid, low-skill
employment.39
There have been numerous explanations offered for the lack of women
participating in the labour force in Turkey. Perhaps more than anything the
transition from an economy dominated by agriculture to one dominated by markets
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450
Meltem Ucal et al.
has eliminated many jobs that women once performed.40 Moreover, low rates of
education for women in Turkey further hinder their search for jobs.41 In her
exploration of married women’s decisions to work, Kızılırmak found that women
enter paid employment primarily to compensate for their husband’s unemployment.42 At the same time, she observed that fertility decreases married women’s
likelihood of working when children are young. Additionally, Acar43 points to the
lack of childcare as an obstacle for women returning to work while İlkkaracan44 and
Moghadam45 emphasize the unequal division of labour in the home as preventing
women from entering the labour market. Moreover, Kardam and Toksöz assert that
women are prevented from entering the labour force by prevailing cultural attitudes
which continue to define women in terms of their domestic role.46 When women are
able to enter the labour force they face gender-based discrimination in the
workplace.47 Women are also often confined to low-wage jobs in manufacturing
which continues to reproduce class and social inequalities.48
Despite extensive legislation that outlaws discrimination in pay, there is wide
agreement in the literature that women in Turkey face wage discrimination and as a
result earn less than men. However, there is little consensus on how much less
women actually earn. In a 2006 study, Kara observed that women in Turkey earned
16 per cent less than men per hour.49 Cudeville and Gurbuzer, on the other hand,
claim that the gender wage gap is approximately 25 per cent for salaried workers and
more than half of this difference can be attributed to discrimination.50 Kasnakoğlu
and Dayıoğlu used data from the Household Income and Expenditures Survey to
explore the extent of the wage gap by level of schooling, education, region,
occupation and job status. The average female-to-male earnings difference they
found was 47.5per cent, which rose to 60 per cent when corrected for hours
worked.51 They located the largest earnings gap among those with less education,
agricultural, factory workers and the self-employed. The gap closes as education
increases.52 Selim and İlkkaracan present similar findings in that the wage gap is, in
part, explained by the fact that women tend to have less education than men.53
However, this only explains half of the gendered wage gap and productivity levels
cannot explain the rest. Thus, roughly 20 per cent of the pay differential between
men and women is from ‘outright discrimination’ in the labour market; a pay
differential that occurs neither as a result of different productivity levels, nor as a
result of the type of job or workplace, but merely due to the sex of the worker.54
Meulders et al. observed that for researchers in Turkey (defined as those who spend
more than 50 per cent of their time on research) the pay gap was 28 per cent.55 The
gap increases with years of experience as men earn more as they gain more
experience. Interestingly, Tansel reported that women in public sector jobs earn the
same or more than in the private sector, while the opposite is true for men.56 At the
same time, there is a gender gap in the private sector with women earning less.57
Tansel attributes the gap, in part, to discrimination but also to the fact that the return
on schooling is less in the private sector than the public.58
Despite Turkey’s dismal rate of female labour force participation, it ranks just above
the EU average overall for female researchers in higher education with 41 per cent.59 At
the same time, Turkey boasts the highest number of women professors in Europe with
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Gender and the Wage Gap in Turkish Academia
451
28 per cent of full professors being women.60 Furthermore, Öncü made clear 30 years
ago that women in Turkey were making their presence felt in academia as high numbers
of women enter academia professionally.61 While the relatively large number of women
achieving full professorship represents a kind of success, these same women report
continued discrimination.62 This exists against a deeply held belief that the universities
in Turkey are a place of gender equity free from discrimination.63 Yet, Mischau makes
clear ‘there is no university where the percentage of female professors corresponds with
the percentage of female academic staff or students’.64
In a recent comparative study of the salaries of academics, Turkish faculty
members earned less than their counterparts in many other countries even when
controlling for purchasing power and national income.65 Turkey ranked 20th out of
28 counties66 in the study when considering average wages but rose to 14th when
national income levels were added to the calculations. Akgeyik found wage
discrepancies at every rank, but Turkey lagged the farthest behind at the level of full
professor.67 Perhaps more importantly here, the study revealed a number of
differences belonging to the Turkish university market. Despite a belief in the general
sameness of salaries at state universities in Turkey, there are differences and these are
attributable primarily to performance-based pay systems.68 Furthermore, all
academic positions at private universities command higher salaries and those
employed at private institutions can earn as much as twice as state employees.69
As a means to explore the issue of the gender wage gap, this paper focuses
specifically on Turkish academia and attempts to establish whether or not a wage gap
between men and women exists. Turkish academia is an interesting site for
exploration of this issue because although overall female labour participation is low,
women’s presence in academia is particularly high. Given that the lack of women’s
education is an oft-cited source of the wage gap, placing highly educated individuals
at the centre of the study helps to bring to light the potential sources of difference,
including that of discrimination.
The Method and the Sample
This paper relies on data gathered in an online survey that was completed by 741
Turkish academics employed at various public and private universities. We chose to
use an online survey in part for ease and with the hope of gathering a diverse sample.
Surveys were e-mailed to both men and women at all ranks (instructor, assistant,
associate and full professor). We received 741 responses of which 719 were valid.
The questionnaire was designed at nominal, ordinal and interval levels. The
questions asked were current employment status (state/private university), academic
title, length and duration of promotion in academia, wage level, gender, year of degree
received, year of appointment to a position of the reception of the last educational
degree, marital status and number of children. We used random sampling to obtain
our sample group and then performed Pearson’s chi-square tests to determine the
validity of our hypotheses. The demographics of the sample can be seen in Table 1.
We received responses from all ranks at both state and private institutions
although the sample includes more individuals at the rank of assistant professor. A
452
Meltem Ucal et al.
Table 1 Demographics of the Respondents
Wage
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2000 TL and less
2001 – 3000 TL
3001 – 4000 TL
4001 – 5000 TL
5000 TL and above
Percentage
3.4
30.2
21.2
21.7
23.5
Type
Public
Private
Percentage
39.7
60.3
Age
25– 35
36– 45
46– 55
56 and above
Percentage
24.2
34.8
25.6
15.4
Gender
Male
Female
Percentage
42.2
57.8
Title
Instructor
Assistant Professor
Associate Professor
Professor
Percentage
16.2
38.1
20.9
24.8
Faculty
Dentistry
Pharmaceutics
Education
Art and Sciences
Fine Arts
Law
Economics and Administrative Sciences
Theology
Communication
Engineering
Health Sciences
Medicine
Veterinary Medicine
Other
Percentage
2.4
1.2
3.6
17.7
5.8
2.3
22.3
1.5
5.9
22.4
1.2
9.6
3.2
0.7
total of 60.3 per cent were employed at private universities while 39.7 per cent were
employed at public institutions. The sample includes more women than men with
57.8 per cent of the group consisting of female and 42.2 per cent male scholars. The
respondents occupied positions in a wide variety of disciplines, but most of the
respondents were from the faculties of Arts and Sciences, Economics and
Administrative Sciences and Engineering. The distribution by academic title shows
that the largest group consists of assistant professors with a 38.1 per cent share.
Professors constitute 24.8 per cent and associate professors represent 20.9 per cent of
the sample. Instructors are the smallest group at 16.2 per cent. Regarding age, 24.2
per cent of the respondents were between 25 and 35, 34.8 per cent between 36 and
45, 25.6 per cent between 46 and 55, and 15.4 per cent over 56 years of age. The
salaries of respondents ranged from below 2000 TL/month to more than 5000 TL/
month although there were more individuals who earned between 2000 and 3000
TL/month.70 The single largest determinant of salary is academic rank. This is
particularly the case for those employed at state institutions where salaries are largely
determined by grade and salary increases follow increases in rank. However, Akgeyik
has made clear that this is also beginning to change with the introduction of
performance-based pay incentives.71 The distribution of the sample by gender, rank
and type of institution can be seen in Table 2.
When the distribution of the sample is examined with a focus on title, gender and
type of university (public or private), female assistant professors working in private
Gender and the Wage Gap in Turkish Academia
453
Table 2 Sample by Gender, Rank and Type of Institution
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State university
employee
Private university
employee
Title
Men
Women
Men
Women
TOTAL
Instructor
Assistant Professor
Associate Professor
Full Professor
TOTAL
1%
6%
5%
6%
18%
1%
7%
7%
7%
22%
5%
8%
4%
7%
24%
9%
17%
5%
5%
36%
16%
38%
21%
25%
100%
universities comprise the largest share among the respondents with 17 per cent. The
second largest group at 9 per cent belongs to female instructors at private universities.
It is a potential weakness of this sample that public university academics are not
represented in equal numbers as those employed in private universities. The final
piece of our puzzle is, of course, salary. We added the variable of salary to gender, rank
and type of institution. This is reflected in Table 3.
Table 3 Sample by Salary, Rank, Gender and Type of Institution
Public
Private
Wage
Male
(%)
Female
(%)
Male
(%)
Female
(%)
TOTAL
(%)
Instructor
TOTAL
2000 TL and less
2001 –3000 TL
3001 –4000 TL
4001 –5000 TL
5001 TL and above
5.0
1.7
2.5
0.8
0.0
0.0
8.3
1.7
6.7
0.0
0.0
0.0
29.2
3.3
16.7
5.8
2.5
0.8
57.5
8.3
35.0
12.5
1.7
0.0
100.0
15.0
60.8
19.2
4.2
0.8
Assistant
Professor
TOTAL
2000 TL and less
2001 –3000 TL
3001 –4000 TL
4001 –5000 TL
5001 TL and above
16.7
0.0
16.0
0.4
0.0
0.4
17.0
0.7
16.3
0.0
0.0
0.0
23.0
0.0
2.1
6.0
8.5
6.4
43.3
0.4
4.6
14.9
13.1
10.3
100.0
1.1
39.0
21.3
21.6
17.0
Associate
Professor
TOTAL
2000 TL and less
2001 –3000 TL
3001 –4000 TL
4001 –5000 TL
5001 TL and above
24.5
0.6
11.0
12.3
0.6
0.0
31.6
0.6
14.8
15.5
0.0
0.6
20.6
0.0
0.0
2.6
3.9
14.2
23.2
0.0
0.0
5.8
3.9
13.5
100.0
1.3
25.8
36.1
8.4
28.4
Professor
TOTAL
2000 TL and less
2001 –3000 TL
3001 –4000 TL
4001 –5000 TL
5001 TL and above
22.3
0.0
0.0
2.7
17.9
1.6
29.9
0.0
0.0
6.0
21.7
2.2
26.6
0.0
0.5
0.5
1.6
23.9
21.2
1.1
0.0
0.5
3.3
16.3
100.0
1.1
0.5
9.8
44.6
44.0
Title
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454
Meltem Ucal et al.
Overall, the table makes clear that those academics employed at state universities
earn less than their colleagues at private institutions even when they hold the same
rank. However, the wage gaps that appear here are not homogenous. The disparity
between salaries at public and private institutions is felt most at the entry rank of
assistant professor. Those assistant professors at state universities are concentrated in
the 2000 –3000 TL range whereas those at private schools are nearly evenly
distributed at higher levels. While this establishes a clear contrast between public and
private schools in Turkey, it does not settle the question of whether there is a gender
gap. In order to determine whether or not there is indeed a gendered wage gap, we
tested for a gendered wage gap at each rank at both public and private universities.
Firstly, we tested the entire sample regardless of rank and institution to establish
whether or not there was a relationship between gender and wages. We tested two
hypotheses:
(1) H0: there is no relation between income level and gender.
(2) H1: there is a relation between income level and gender.
We found a gender-related wage gap albeit the correlation for the whole sample
was weak. This can be seen in Table 4.
The level of significance from the analysis is 0.023. Thus, the analysis confirms a
relation between income level and gender with 0.05 level of significance. The phi
coefficient is 0.124 for Cramer’s V and 0.123 for the contingency coefficient which
indicates that while there is a correlation, it is weak (12.4 per cent). In order to further
test the hypothesis that there is a relation between gender and wages in Turkish
universities, we performed a Pearson correlation analysis where 1 ¼ men and
2 ¼ women and we found a negative value of (0.096 meaning that male scholars are
paid more than their female colleagues. The level of significance was 0.009, therefore
the results are 99 per cent significant, at a level of 0.01.
We then conducted the same analysis for both state and private universities
separately, to determine if there is an overall relationship between gender and wages
at public, private or both types of institutions. The results for private universities can
be seen in Table 5.
The significance value is 0.002 therefore there is a correlation between wage and
gender in private universities based on 0.01 significance level and 99 per cent reliability.
The phi coefficient is 0.192 for Cramer’s V and 0.189 for the contingency coefficient
which demonstrates that there is a weak correlation between gender and wages at
private institutions (19.2 per cent) but it is stronger than the correlation found in the
overall sample. The analysis demonstrates that there is a relationship between gender
and wages in private universities and when the Pearson correlation test was further
applied, the results show that it is men who are paid more than their female colleagues.
Similar results cannot be stated for public institutions. At state schools, we found no
relation between gender and wages. The results can be seen in Table 6.
Having determined that there is a gendered wage gap in favour of men at private
universities, we proceeded to try to ascertain at which rank the gap appears. Thus, we
tested each rank and found that it is only at the level of full professor that a wage gap
Gender and the Wage Gap in Turkish Academia
455
Table 4 Relationship between Gender and Wages Overall
Wage
2000 TL
and less
Gender * Wage cross-tabulation
Gender
Male
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Female
Total
Count
% within
gender
Count
% within
gender
Count
% within
gender
2001 – 3001 – 4001 – 5001 TL
3000 4000 5000
and
TL
TL
TL
above Total
7
2.2%
92
55
70
89
29.4% 17.6% 22.4% 28.4%
313
100.0%
18
4.2%
132
102
91
85
30.8% 23.8% 21.3% 19.9%
428
100.0%
25
3.4%
224
157
161
174
30.2% 21.2% 21.7% 23.5%
741
100.0%
Chi-square tests
Pearson
chi-square
Likelihood ratio
Linear-by-linear
association
N of valid cases
a
Value
df
Asymp. sig.
(2-sided)
11.309a
4
0.023
11.398
6.756
4
1
0.022
0.009
741
No cells (0.0%) have expected count less than 5. The minimum expected count is 10.56.
Value
Approx. sig.
0.124
0.023
Cramer’s V 0.124
Contingency 0.123
coefficient
N of valid cases
741
0.023
0.023
Nominal by
nominal
Gender
Wage
Phi
Pearson
correlation
Sig. (2tailed)
N
Pearson
correlation
Sig. (2tailed)
N
Gender
Wage
1
20.096**
0.009
741
2 0.096**
741
1
0.009
1
741
741
**Correlation is significant at the 0.01 level (2-tailed).
presents itself. At no other level did we find evidence of a significant gendered wage
gap. The results can be seen in Table 7.
456
Meltem Ucal et al.
Table 5 Relationship between Gender and Wages at Private Universities
Wage
Gender
Gender
*Wage
Male
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Female
Total
*Private 2000 2001 – 3000 3001 – 4000 4001 – 5001 TL
universities TL and
TL
TL
5000 TL and
below
above Total
Count
% within
gender
Count
% within
gender
Count
% within
gender
4
2.2%
27
14.9%
29
16.0%
36
85
181
19.9% 47.0% 100.0%
13
4.9%
55
20.7%
67
25.2%
51
80
266
19.2% 30.1% 100.0%
17
3.8%
82
18.3%
96
21.5%
87
165
447
19.5% 36.9% 100.0%
Value
df
Asymp. sig.
(2-sided)
Chi-square tests
Pearson chi-square
Likelihood ratio
Linear-by-linear association
N of valid cases
a
16.540a 4
16.723 4
14.389 1
447
0.002
0.002
0.000
No cells (0.0%) have expected count less than 5. The minimum expected count is 6.88.
Symmetric measures
Nominal by
nominal
Phi
Cramer’s V
Contingency
coefficient
Value
Approx. sig.
0.192
0.192
0.189
0.002
0.002
0.002
N of valid cases
447
Pearson correlation
Gender
Gender
Wage
Pearson
correlation
Sig. (2-tailed)
N
Pearson
correlation
Sig. (2-tailed)
N
1
187
2 0.083 1
0.259
187
2 0.083
0.259
187
187
The significance value is 0.002. Therefore, there is a correlation between wage and
gender in private universities at the rank of full professor based on 0.01 level of
significance and 90 per cent reliability. The phi coefficient is 0.174 for Cramer’s V and
0.171 for the contingency coefficient. While the correlation is weak (19.2 per cent), it
is stronger than that found in the total sample.
The analysis demonstrates that male scholars are paid more than their female
colleagues at the professor level which is distinct from the results found at other
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Table 6 Relationship between Gender and Wages at Public Universities
Wage
2001 – 3000
TL
3001 –4000
TL
4001 – 5000
TL
5001 TL and
above
Total
3
2.3%
5
3.1%
8
2.7%
65
49.2%
77
47.5%
142
48.3%
26
19.7%
35
21.6%
61
20.7%
34
25.8%
40
24.7%
74
25.2%
4
3.0%
5
3.1%
9
3.1%
132
100.0%
162
100.0%
294
100.0%
Value
df
Asymp. sig.
(2-sided)
0.382a
0.385
0.006
4
4
1
0.984
0.984
0.938
Gender Male
Total
Count
% within gender
Female Count
% within gender
Count
% within gender
Chi-square tests
Pearson chi-square
Likelihood ratio
Linear-by-linear
association
N of valid cases
a
294
4 cells (40.0%) have expected count less than 5. The minimum expected count is 3.59.
Gender and the Wage Gap in Turkish Academia
2000 TL and
below
Gender *Wage *Public universities
457
458
Meltem Ucal et al.
Table 7 Relationship between Gender and Wages for Professors at Private Universities
Wage
Gender * Wage * Professor * Private universities
Gender
Male
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Female
Total
4000 TL 4001 – 5000 5001 TL
and below
TL
and above
Count
% within
gender
Count
% within
gender
Count
% within
gender
Total
7
7.8%
36
40.0%
47
52.2%
90
100.0%
14
14.9%
46
48.9%
34
36.2%
94
100.0%
21
11.4%
82
44.6%
81
44.0%
184
100.0%
Chi-square tests
Pearson chi-square
Likelihood ratio
Linear-by-linear association
N of valid cases
a
Value
df
Asymp. sig.
(2-sided)
5.555a
5.610
5.479
184
2
2
1
0.062
0.061
0.019
No cells (0.0%) have expected count less than 5. The minimum expected count is 10.27.
Symmetric measures
Nominal by nominal
Phi
Cramer’s V
Contingency
coefficient
N of valid cases
Value
Approx.
sig.
0.174
0.174
0.171
0.062
0.062
0.062
184
Correlations
Gender
Wage
Pearson
correlation
Sig. (2-tailed)
N
Pearson
correlation
Sig. (2-tailed)
N
Gender
Wage
1
2 0.173*
184
20.173*
0.019
184
0.019
184
1
184
*Correlation is significant at the 0.05 level (2-tailed).
ranks. While it is clear that women professors are paid less than their male
counterparts at private universities, we also found that this is most evident at the
salary range of 5000 TL and above. This can be seen is Table 8.
Gender and the Wage Gap in Turkish Academia
459
Table 8 Relationship between Gender and Wages above 5000 TL at Private Universities
Wage
Gender * Wage cross-tabulation
Gender
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Total
5000 TL 5001 TL and
and below
above
Male
Count
% within gender
Female Count
% within gender
Count
% within gender
5
10.2%
9
23.1%
14
15.9%
44
89.8%
30
76.9%
74
84.1%
Total
49
100.0%
39
100.0%
88
100.0%
Chi-square tests
Pearson chi-square
Continuity correctionb
Likelihood ratio
Fisher’s exact test
Linear-by-linear
association
N of valid cases
a
Value
df
Asymp. sig.
(2-sided)
2.690a
1.814
2.685
1
1
1
0.101
0.178
0.101
2.659
1
0.103
Exact sig.
(2-sided)
Exact sig.
(1-sided)
0.143
0.089
88
No cells (0.0%) have expected count less than 5. The minimum expected count is 6.20.
Computed only for a 2 £ 2 table.
b
According to a chi-square test, we obtained a significance value for the correlation
between gender and wage gap for professors working in private universities. Since this
value is 0.101, there is no significant correlation at a 0.1 significance level and 90 per
cent reliability. However, the overall significance is higher than this result.
Conclusion
Since the 1990s, Turkey has witnessed an enormous expansion in higher education.
In 1982, there were 27 universities in Turkey while today there are 179 of which 109
are public and 70 are private.72 Alongside this development, the number of academics
has more than doubled to just over 60,000.73 Roughly a third of all academics in
Turkey are women. Although Turkey boasts a higher than average number of women
who achieve the rank of full professor, our research indicates that despite their
achievements these women are paid less than their male counterparts. Having
surveyed more than 700 academics at public and private universities across Turkey,
we are able to conclude that there is a gendered wage gap in favour of men. However,
the wage gap does not appear evenly across the entire sample. Our data demonstrated
a wage gap at private universities where salaries are less regulated and more subject to
the forces of the market and an individual’s bargaining ability. This falls in line with
the literature for both Turkey and elsewhere which reports less wage equality for
women in the private sector.74 This research also adds to the growing literature which
460
Meltem Ucal et al.
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demonstrates that there is a persistent disadvantage faced by women in the paid
labour force even when those women possess the highest levels of education. Similar
to the USA and Europe there appears to be a continued gendered wage gap in
academia and our study demonstrates that that trend extends to Turkish private
institutions as well. Moreover, our findings also demonstrate the existence of intraclass inequality where men and women occupying the same class position are
compensated differently. Perhaps not surprisingly it is women who find themselves
disadvantaged which calls into question the hope of some reward on the other side of
the glass ceiling.
Acknowledgements
We gratefully acknowledge the assistance and contributions of Nazan An and Uğur Kaplan.
Disclosure Statement
No potential conflict of interest was reported by the authors.
Funding
This work was supported by the Kadir Has University Scientific Research Fund Programme [2012BAP-03].
Notes
[1] The Glass Ceiling Index (GCI) measures the opportunities for women to reach top positions
in universities. A GCI of 1 indicates there is no difference in the opportunities between men
and women.
[2] World Economic Forum, The Global Gender Gap Report 2013, World Economic Forum,
Geneva, 2013, , http://www.weforum.org/reports/global-gender-gap-report-2013.
(accessed 11 September 2014).
[3] Ibid.
[4] OECD, OECD StatsExtracts, 2014, ,http://stats.oecd.org/Index.aspx?DataSetCode¼LFS_
SEXAGE_I_R . (accessed 11 September 2014).
[5] European Commission, She Figures 2012: Gender in Research and Innovation, Publications
Office of the European Union, Luxembourg, 2012.
[6] Ibid.
[7] For our purposes here we have defined academic to mean those who hold the title assistant
professor, associate professor or professor.
[8] O. Kara, ‘Occupational gender wage discrimination in Turkey’, Journal of Economic Studies, 33
(2), 2006, pp. 130 –143; B. F. Reskin and P. A. Roos, Job Queues, Gender Queues: Explaining
Women’s Inroads into Male Occupations, Temple University Press, Philadelphia, 1990.
[9] J. Grey-Bowen and D. McFarlane, ‘Gender compensation discrimination: an exploration of
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[10] Ibid., p. 66.
[11] R. Anker, ‘Theories of occupational segregation by sex: an overview’, International Labour
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H. Josh and R. Wright, ‘Women’s wages in Great Britain’, Birkbeck College Discussion Papers
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Gender and the Wage Gap in Turkish Academia
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[35] OECD, op. cit.
[36] Türkiye İstatistik Kurumu, İstatistiklerle Kadın 2012, Türkiye İstatistik Kurumu Matbaası,
Ankara, 2012.
[37] Ibid.
[38] Ibid.
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[42] B. Kızılırmak, ‘Labour market participation decisions of married women: evidence from
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[43] S. Acar, ‘Analysis of female labour force participation in Turkey from a gender perspective’,
presented at 1st PhD Conference in Economics 2008 in memory of Vassilis Patsatzis, Athens,
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[44] İ. İlkkaracan, ‘Why are there so few women in the urban labor market in Turkey?: a supplyside account’, International Association for Feminist Economics Annual Conference, Istanbul,
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[45] V. Moghadam, ‘Turkey: from housewife to worker?’, in V. Moghadam (ed.), Women, Work and
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[46] F. Kardam and G. Toksöz, ‘Gender based discrimination at work in Turkey: a cross-sectoral
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[47] Ibid.
[48] R. Selim and İ. İlkkaracan, ‘Gender inequalities in the labour market in Turkey: differentials in
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[49] Kara, op. cit.
[50] E. Cudeville and L. Gurbuzer, ‘Gender wage discrimination in the Turkish labour market’,
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Paris, 2007.
[51] Z. Kasnakoğlu and M. Dayıoğlu, ‘Women’s labour force participation and earnings
differentials between genders in Turkey’, METU Studies, 24(3), 1997, pp. 329– 361.
[52] Ibid.; Selim and İlkkaracan, op. cit.; Kara, op. cit.
[53] Selim and İlkkaracan, op. cit.
[54] Ibid.
[55] D. Meulders, S. O’Dorchai, R. Plasman and A. Rigo, ‘Topic report on gender wage gap and
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[56] Tansel, op. cit.
[57] Kara, op. cit.; A. Tansel, ‘Public – private employment choice, wage differentials and gender in
Turkey’, Economic Development and Cultural Change, 53(2), 2005, pp. 453– 477.
[58] Tansel, ‘Public – private’, op. cit.
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Gender and the Wage Gap in Turkish Academia
463
[59] European Commission, op. cit.
[60] G. Healy, H. Alienfendioğlu and M. Özbilgin, ‘Academic employment and gender: a Turkish
challenge to vertical sex segregation’, European Journal of Industrial Relations, 11(2), 2005,
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[61] A. Öncü, ‘Turkish women in the professions: why so many?’, in N. Abadan-Unat (ed.), Women
in Turkish Society, Brill, Leiden, 1981, pp. 181– 193.
[62] Healy et al., op. cit.
[63] Ö. Özkanli and A. Korkmaz, Kadın Akademisyenler, Ankara Üniversitesi Siyasal Bilgiler
Fakültesi Yayını, Ankara, 2000.
[64] A. Mischau, ‘Women in higher education in Europe: a statistical overview’, International
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[65] T. Akgeyik, Ulusal ve Uluslararası Karşılaştırmalarla Öğretim Üyeliği Maaşı: Tespitler ve Bir
Model Önerisi, SETAV Siyaset, Ekonomi ve Toplum Araştırmaları Vakfı, Ankara, 2013.
[66] The countries included in the study were: Argentina, Armenia, Australia, Brazil, Canada,
China, Colombia, Czech Republic, Germany, England, Ethiopia, France, Holland, India,
Israel, Italy, Japan, Kazakhstan, Lithuania, Malaysia, Mexico, Norway, Russia, Saudi Arabia,
South Africa, Turkey and the USA.
[67] Ibid.
[68] Akgeyik, op. cit.
[69] Ibid.
[70] The individuals we surveyed are paid in Turkish lira (TL). This, combined with the
fluctuating value of the Turkish lira, led us to quote salaries in the local currency to avoid
confusion.
[71] Akgeyik, op. cit.
[72] Yüksek Öğretim Kurulu, 2014, , http://www.yok.gov.tr/web/guest/universitelerimiz.
(accessed 11 September 2014).
[73] G. Çetinsaya, ‘Büyüme, kalite, uluslararasılaşma: Türkiye yükseköğretimi ic in bir yol haritasi’,
2013, , http://yolharitasi.yok.gov.tr/docs/YolHaritasi.pdf . (accessed 11 September 2014).
[74] Durnel, op. cit.; Tansel, ‘Public – private’, op. cit.
Meltem Ucal is associate professor of economics at Kadir Has University, Istanbul,
Turkey. She received her BA, MA and PhD, all in Econometrics, from Istanbul
University. She has published many articles in international and domestic journals
such as Journal of Business Economics and Management and Emerging Market Finance
and Trade. Her current research interests are model selection, non-parametric
regression, bootstrap, cross-validation, statistical analysis, foreign direct investment,
differential wage, income inequality and energy efficiency.
Address for correspondence: Department of Economics, Kadir Has University,
Cibali, Istanbul, Turkey. E-mail:
[email protected]
Mary Lou O’Neil is associate professor and director of the Gender and Women’s
Studies Research Center at Kadir Has University, Istanbul, Turkey. Her research
interests include gender, law and popular culture in Turkey.
Address for correspondence: Gender and Women’s Studies Research Center, Kadir
Has University, Kadir Has Caddesi, Cibali, Istanbul 34083, Turkey. E-mail:
[email protected]
464
Meltem Ucal et al.
Sule Toktas is a professor of political science at Department of Political Science and
Public Administration, Kadir Has University. Her research interests are international
migration, women’s studies and Turkish politics.
Downloaded by [Kadir Has Universitesi Kutuphanesi] at 00:53 21 October 2015
Address for correspondence: Department of Political Science and Public
Administration, Kadir Has University, Cibali, Istanbul 34083, Turkey. E-mail:
[email protected]