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Recently there has been a resurgence of interest in the analysis of job satisfaction variables. Job satisfaction is correlated with labour market behaviour such as productivity, quits and absenteeism. In this paper four different measures of job satisfaction are related to a variety of personal and job characteristics. The data used are from the 28 240 British employees in the Workplace Employee Relations Survey, 1997. This data set is larger and more recent than in any previous studies. Four measures of job satisfaction that have not previously been used are considered: satisfaction with influence over job; satisfaction with amount of pay; satisfaction with sense of achievement; and satisfaction with respect from supervisors. The paper contributes to the literature by analysing job satisfaction with respect to industrial composition and occupations. One of the striking findings is that those in the education and health sectors are less satisfied with their pay but more satisfied with their sense of achievement. Further, it is found that employees who received job training were more satisfied than those who had no training opportunities. Unlike previous studies, it is found that married individuals have lower job satisfaction levels than the unmarried. Other results confirm those in the literature, such as women being more satisfied than men, and a U-shaped relationship between satisfaction and age.
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Applied Economics, 2006, 38, 1163–1171
Job satisfaction in Britain: individual
and job related factors
Saziye Gazioglu
a,b,
* and Aysit Tansel
b
a
Department of Economics, Institute of Applied Mathematics (IAM),
Middle East Technical University (METU), 06531 Ankara, Turkey
b
Department of Economics, University of Aberdeen,
Aberdeen AB24 3HQ, UK
c
Department of Economics, Middle East Technical University, 06531,
Ankara, Turkey
Recently there has been a resurgence of interest in the analysis of job
satisfaction variables. Job satisfaction is correlated with labour market
behaviour such as productivity, quits and absenteeism. In this paper four
different measures of job satisfaction are related to a variety of personal
and job characteristics. The data used are from the 28 240 British
employees in the Workplace Employee Relations Survey, 1997. This data
set is larger and more recent than in any previous studies. Four measures of
job satisfaction that have not previously been used are considered:
satisfaction with influence over job; satisfaction with amount of pay;
satisfaction with sense of achievement; and satisfaction with respect from
supervisors. The paper contributes to the literature by analysing job
satisfaction with respect to industrial composition and occupations. One
of the striking findings is that those in the education and health sectors
are less satisfied with their pay but more satisfied with their sense of
achievement. Further, it is found that employees who received job training
were more satisfied than those who had no training opportunities. Unlike
previous studies, it is found that married individuals have lower job
satisfaction levels than the unmarried. Other results confirm those in the
literature, such as women being more satisfied than men, and a U-shaped
relationship between satisfaction and age.
I. Introduction
Many economists consider self-reported job satis-
faction as a fascinating subjective variable (Levy-
Garboua and Montmarquette, 2002). This attraction
recently resulted in a number of studies in the
empirical analysis of well-being, specifically in job
satisfaction. Job satisfaction has been investigated in
several disciplines such as psychology (Argyle, 1989),
sociology (Hodson, 1985; Kalleberg and Loscocco,
1983), economics (Hamermesh, 1977, 2001; Freeman,
1978), and management sciences (Hunt and
Saul, 1975). Employers prefer that their employees
be satisfied, since employees satisfaction is closely
related to their labour market behaviour such as
productivity, quits and absenteeism. Studies which
indicate that job satisfaction is as good a predictor of
quits as wages include Freeman (1978), Akerlof et al.
(1988) and Clark et al. (1998). For this reason it is
important to study the determinants of job satisfac-
tion. Different aspects of job satisfaction are studied
in the literature. These include job satisfaction with
*Corresponding author. E-mail: s.gazioglu@abdn.ac.uk
Applied Economics ISSN 0003–6846 print/ISSN 1466–4283 online 2006 Taylor & Francis 1163
http://www.tandf.co.uk/journals
DOI: 10.1080/00036840500392987
gender (Clark, 1997), wage growth (Clark, 1999), age
(Hunt and Saul, 1975; Clark et al., 1996), comparison
income and unemployment (Clark and Oswald, 1994,
1996) work environment (Idson, 1990), work envir-
onment and relations with managers (Gazioglu and
Tansel, 2004), job matching (Belfield and Harris,
2002) and service sector (Brown and McIntosh,
2003). Locke (1976) defines job satisfaction as an
individual’s subjective valuation of different aspects
of their job. Higher job satisfaction may be due to
improvements in the objective aspects of the job
either because of reduced expectations or because
dissatisfying aspects of the job are downplayed while
pleasing aspects are given greater weight. Hamermesh
(1977) was one of the first studies that used job
satisfaction data to investigate a model of occupa-
tional choice.
This paper analyses four different measures of job
satisfaction using British data and investigates their
relationship with individual and job characteristics by
estimating ordered probit relationships. The four
different measures of job satisfaction, which have not
been considered previously are as follows: satisfaction
with influence over job; satisfaction with amount
of pay; satisfaction with sense of achievement;
and satisfaction with respect from supervisors.
Individual characteristics include age, education and
gender. Job characteristic include income, establish-
ment size, hours of work, industrial composition, and
occupation. We use a more recent (1997) and larger
data set in addition to different measures of job
satisfaction than previous work (Clark, 1996). A
number of our results confirm those in the literature,
such as women being more satisfied than men, and
a U-shaped relationship between satisfaction and age.
This work contributes to the existing knowledge on
the subject by analysing job satisfaction with respect
to industrial composition, occupation and job train-
ing. One of the striking findings is that those in the
education and health sectors are less satisfied with
their pay but more satisfied with their sense of
achievement. Job training is found to increase all
measures of job satisfaction. One special difference
from previous results is that married individuals have
lower job satisfaction levels than the unmarried in our
data set.
Section II presents a brief discussion of the data
and the various measures of job satisfaction used
in this study. Section III analyses the ordered probit
estimation results of the relationship between job
satisfaction measures and a number of individual and
job characteristics. Section IV provides concluding
remarks.
II. Data
We use a unique data set of 28,240 British employees
from the Workplace Employee Relations Survey,
1997. This is a matched employer–employee survey
and involves interviews with employees and managers
in over 3000 establishments. The survey covers
employers of 15.8 million workers, i.e. three-quarters
of all employees in Britain. Clark (1996) uses British
data from the BHPS 1991 survey of 5000 employees.
Our data set is much larger and more recent than
Clark’s and involves larger establishments. Table 1
gives the distribution of reported job satisfaction
measures. The job satisfaction measures are recorded
in the survey as five category ordered measure. In this
ordered measure, the value 1 corresponds to ‘very
dissatisfied’ and 5 corresponds to ‘very satisfied’. The
four measures are satisfaction with influence over job,
with amount of pay, with sense of achievement and
with respect from supervisors. The most frequent
(mode) response for all measures of satisfaction
is the ‘satisfied’ category. ‘Very dissatisfied’ and
‘dissatisfied’ categories are substantial, especially for
satisfaction with the amount of pay. Nearly 41%
of employees reported to be dissatisfied or very
dissatisfied with their pay. Respective figures for
satisfaction with influence over job and with sense of
Table 1. Distribution of reported job satisfaction measures
Satisfaction with
influence over job
Satisfaction with
amount of pay
Satisfaction with sense
of achievement
Satisfaction with respect
received from supervisors
Number Percent Number Percent Number Percent Number Percent
Levels
Very dissatisfied 887 3.2 3 478 12.5 1 275 4.6 2 358 8.5
Dissatisfied 3 308 12.0 7 896 28.2 2 872 10.3 3 515 12.7
Neither 7 162 26.0 6 568 23.5 5 941 21.4 5 636 20.3
Satisfied 13 075 47.4 8 911 32.3 13 519 48.6 12 250 44.2
Very satisfied 3 156 11.4 1 028 3.5 4 180 15.0 3 973 14.3
Total 27 589 100.0 27 880 100.0 27 785 100.0 28 240 100.0
1164 S. Gazioglu and A. Tansel
achievement are each about 15%, and satisfaction
with respect from supervisors is 21%. Conversely,
at the other tail of the distribution, those employees
who are very satisfied with the amount of their pay
is only 3.5%, while the figure is between 11 and 15%
for all other measures of job satisfaction. Thus,
British workers seem less satisfied with their pay
but more satisfied with their job by other measures
of job satisfaction. Table 2 cross-tabulates the four
satisfaction measures with various individual and
firm characteristics. It reports the means of the
variables for the categories of ‘satisfied’ and ‘very
satisfied’ for each of the job satisfaction measures.
Findings in this table will be discussed along with the
ordered probit estimation results in the next section.
III. Estimation Results
Table 3 reports the maximum likelihood ordered
probit estimates of job satisfaction. In each regression
the dependent variable is a five category ordered
measure of job satisfaction. In such ordinal measures
of dependent variable it is proper to use ordered
probit techniques. The ordered probit models con-
sider the ordinal nature of the dependent variable
explicitly. Whereas Ordinary Least Squares treats the
differences between the rankings similarly (Green,
2002; Maddala, 1983). Below we provide a discussion
of each explanatory variable separately.
Gender
Table 2 indicates that women are more satisfied or
very satisfied with various aspects of their jobs
compared to men. This result is confirmed in
Table 3 when other control factors are introduced
into the regressions. The coefficient estimate of the
male dummy variable is negative and statistically
significant throughout. The largest coefficient esti-
mate for this variable is for satisfaction with the
amount of pay, indicating that men are most
dissatisfied with this aspect of their job compared to
women. Some plausible explanations for this finding
may be the following: men and women have different
expectations from their jobs. Furthermore, their
comparison groups may be different. These may
affect the way they answer the job satisfaction
questions. Another reason for the finding that
women are more satisfied with their jobs than men
might be that the types of jobs that men and women
do are different as well as their qualifications. There
may also be a participation effect. In situations where
the woman is a secondary bread-winner they may
find it easier to leave the labour market. Thus more
women who are satisfied at work would be working
compared to dissatisfied women. This would create
a sample selection problem (Heckman, 1979).
The extent of the gender differential in job satisfac-
tion is investigated in detail by Clark (1997). He
claimed that this differential cannot be explained by
the different jobs that men and women do, or by
sample selection. He found that for groups for which
the gender differential in job expectations is less
likely, the gender differential in job satisfaction
disappears. Such groups included the young, the
better-educated, the profesionals, those in male-
dominated workplaces and those whose mothers
had a professional job. Clark also found some
evidence that women have lower expectations.
Age
Clark (1996) and Clark et al. (1996) report a
statistically significant U-shaped pattern in age for
several job satisfaction measures. Clark et al. (1996)
also found that the U-shape in age is particularly
strong for full-time employees and stronger for men
than for women. The same pattern is reported by
Warr (1992) for job-related well-being. However,
there is some contradictory evidence on this issue in
the literature, such as that provided by O’Brien and
Dowling (1981). We observe a non-linear relationship
between age and four measures of job satisfaction in
Table 2. In all cases non-linearity shows a U-shaped
relationship, with those in the very young and old age
groups being the most satisfied. In the ordered probit
results in Table 3 where other variables are controlled
for, age-squared captures the non-linear relationship
between age and job satisfaction observed in Table 2.
In all four measures of job satisfaction equations,
age and age-squared are statistically significant and
carry negative and positive signs respectively indicat-
ing a U-shaped relationship between age and job
satisfaction.
The various measures of satisfaction reach a
minimum at different ages. Satisfaction with influ-
ence over job, satisfaction with the amount of pay,
satisfaction with the sense of achievement, satisfac-
tion with respect from supervisors reach a minimum
at the ages of 33, 36, 22 and 28 respectively. It is
worth noting that workers reach a minimum for
satisfaction with the amount of pay at an older age
than in the case of other measures of satisfaction.
A higher minimum age for satisfaction with pay is
also reported by Clark et al. (1996, p. 67). Young
workers may feel satisfied because they have little
experience of the labour market against which to
judge their own work. As they learn about the labour
market with some years of experience they are able
Job satisfaction in Britain 1165
Table 2. Means of the variables (%)
Satisfaction with
influence over job
Satisfaction with
amount of pay
Satisfaction with
sense of achievement
Satisfaction with
respect received
from supervisors
Very Very Very Very
Satisfied Satisfied Satisfied Satisfied Satisfied Satisfied Satisfied Satisfied
Individual characteristics
Male 45.7 12.3 29.5 3.3 46.8 14.1 42.1 12.3
Female 48.9 11.2 35.0 3.6 51.2 16.0 46.3 16.3
Age
20 or less 45.3 7.7 38.9 3.7 42.3 9.1 44.4 16.1
20–24 49.8 8.2 29.4 2.8 47.3 12.9 44.3 13.3
25–29 47.3 10.0 27.1 3.7 46.9 11.8 42.4 12.2
30–39 45.0 11.1 32.7 3.6 47.7 13.4 42.4 11.3
40–49 47.1 11.2 31.5 3.6 50.9 14.6 44.4 14.0
50–59 49.5 13.1 32.7 3.7 49.7 19.8 46.5 17.7
60 and over 54.6 21.7 37.8 6.2 52.8 27.3 49.1 26.3
Level of education
Degree þpostgraduate 47.8 12.8 34.0 3.9 49.6 16.2 45.8 13.9
A Level þ0 level 46.4 10.3 32.1 2.9 48.2 13.0 43.6 13.0
Other 49.2 13.8 30.9 4.2 50.3 18.7 44.2 17.9
Marital status
Married þspouse present 45.9 9.9 30.0 2.7 46.8 13.1 43.3 14.0
Single 47.9 12.5 33.3 3.7 50.0 15.9 44.7 14.5
Health problems 55.2 20.1 38.9 6.6 52.2 25.8 50.7 25.4
Race
White 47.4 11.7 32.7 3.5 9.1 15.2 44.4 14.3
Black 42.9 11.8 19.1 1.3 49.0 10.6 40.1 12.1
Asian 47.4 12.0 25.9 3.1 46.8 13.0 43.6 14.5
Job characteristics
Weekly income
Less than £140 49.0 10.6 36.0 3.7 49.7 17.0 47.0 19.1
£141–£260 44.7 10.1 33.4 1.9 47.6 12.8 41.4 12.9
£261–£430 46.6 11.1 31.5 2.6 48.6 14.1 43.0 11.7
£431 or more 50.9 16.8 45.0 7.2 52.0 18.1 48.2 14.8
Hours of work per week
Less than 16 48.5 11.6 39.2 4.5 49.0 17.9 47.1 18.9
16–29 49.2 10.1 39.1 3.2 50.6 17.2 48.1 17.5
30–39 46.6 10.4 28.6 3.1 48.2 12.4 42.7 12.8
40 hours or more 47.0 13.2 31.4 3.6 49.2 15.8 43.7 13.4
Union member 44.2 9.5 31.0 2.9 57.3 13.6 41.7 11.5
Gender concentration of
the workplace
Mostly Men 46.4 12.0 31.1 3.5 48.1 13.8 42.7 12.1
Mostly Women 48.0 11.6 33.3 3.4 49.9 16.2 45.7 16.3
Establishment size
Less than 25 employees 49.9 14.4 33.1 3.3 51.9 18.1 44.4 19.0
25–99 employees 47.9 11.8 31.9 3.4 49.9 16.0 44.5 15.5
100–199 employees 46.1 11.9 31.1 3.7 47.9 14.0 43.6 12.6
200–499 employees 46.5 11.2 33.4 3.3 47.7 13.7 43.7 12.6
500 or more employees 47.0 10.4 32.7 3.7 48.3 14.1 43.3 13.3
Occupation
Managerial/professional 49.9 14.5 35.7 4.4 51.5 18.0 46.6 15.2
Clerical 47.1 9.8 29.7 2.5 49.1 14.2 43.6 13.7
Sales 43.7 9.9 31.1 3.3 45.2 11.3 42.1 13.3
‘Satisfaction’ is determined for those who agree or strongly agree with the following statements
I feel that my job is secure in this work place
52.7 15.3 37.3 4.7 52.9 18.8 49.4 19.4
1166 S. Gazioglu and A. Tansel
to better judge their work conditions. With this
experience, satisfaction drops in during the middle
ages. One factor is the effect of reduced aspirations
with age. Older workers may have reduced aspira-
tions as they realize that they face limited alternative
choices. It may also be true that they may attach less
importance to such ambitions. The second factor that
may be responsible for older workers’ higher levels
of satisfaction could be a self-selection effect. Since
dissatisfied older workers may find it easier to leave
the labour market or find an alternative more
satisfying job, the ones we observe in the labour
market would be the satisfied ones. The details of
these arguments can be found in Clark et al. (1996)
and Kalleberg and Loscocco (1983).
Education
In Table 2 we observe that the percentage of those
who are satisfied or very satisfied with their jobs is
largest for the ‘other’ category, which is the lowest
level of education. This result is confirmed in Table 3,
where we observe that ‘degree and postgraduate
degree’ and ‘A-level–O-level’ holders have lower
Table 3. Maximum likelihood ordered probit estimates of job satisfaction
Satisfaction with
influence over job
Satisfaction with
amount of pay
Satisfaction with
sense of
achievement
Satisfaction with
respect received
from supervisors
Coefficient t-ratioCoefficient t-ratioCoefficient t-ratioCoefficient t-ratio
Male 0.066 3.95 0.244 14.64 0.919 5.44 0.113 6.86
Age 0.188 4.10 0.027 6.20 0.010 2.11 0.021 5.00
Age squared (10
3
) 0.305 5.48 0.374 6.99 0.231 4.20 0.374 7.18
Level of Education
Degree þpostgraduate 0.275 10.41 0.205 7.74 0.295 11.09 0.200 7.65
A level þ0 level 0.155 7.52 0.063 3.08 0.178 8.56 0.127 6.46
Married 0.077 4.65 0.404 2.45 0.065 3.96 0.020 1.20
Health problems 0.210 6.95 0.142 4.66 0.164 5.61 0.143 4.88
Race
White 0.054 1.24 0.135 3.09 0.033 0.76 0.063 1.47
Black 0.045 0.64 0.143 1.88 0.044 0.60 0.107 1.50
Job characteristics
Log weekly income 0.133 6.81 0.621 37.05 0.021 1.08 0.025 1.30
Log hours of work 0.158 6.45 0.856 45.63 0.038 1.54 0.174 7.50
Log estab. size 0.026 4.48 0.016 2.84 0.038 6.41 0.025 4.27
Union member 0.239 15.48 0.143 9.25 0.161 10.35 0.207 13.62
Secure job 0.521 36.29 0.341 24.02 0.455 31.72 0.532 37.89
Occupation
Managerial/Professional 0.272 10.75 0.060 2.43 0.351 13.79 0.256 10.38
Clerical 0.064 3.14 0.170 8.55 0.166 8.22 0.101 5.24
Gender concentration
Mostly men 0.011 0.58 0.032 1.67 0.073 3.81 0.267 1.42
Industrial composition
Manufacturing 0.031 1.30 0.037 1.56 0.004 0.16 0.020 0.78
Electricity þGas þWater 0.142 3.86 0.378 10.51 0.063 1.70 0.152 4.01
Construction 0.112 3.10 0.067 1.85 0.083 2.36 0.087 2.48
Transportation 0.138 4.46 0.060 1.89 0.108 3.37 0.089 2.86
Financial services 0.026 1.13 0.022 0.94 0.361 0.56 0.089 3.86
Education sector 0.014 0.54 0.153 5.82 0.269 10.27 0.129 5.03
Health sector 0.024 0.91 0.124 4.90 0.220 8.45 0.012 0.50
Training
Less than 5 days 0.074 4.51 0.104 6.38 0.124 7.58 0.169 10.02
5 days or more 0.222 10.61 0.189 9.15 0.336 10.10 0.356 17.16
Constant threshold parameters 2.035 17.72 1.43 13.44 1.614 14.30 2.058 19.31
m(1) 0.904 57.50 0.986 92.98 0.709 53.59 0.618 59.71
m(2) 1.724 99.68 1.630 133.97 1.431 94.74 1.264 102.36
m(3) 3.236 164.00 3.190 167.08 2.922 165.68 2.646 172.44
Log likelihood 30 420 32 879 30 762 33 750
Chi-squared (26) 2 465 2 834 2 590 3 022
Number of observations 23 948 23 895 23 948 24 670
Notes: *indicates absolute value of the asymptotic t-ratio.
Job satisfaction in Britain 1167
levels of satisfaction than individuals with lower
levels of education. The differential dissatisfaction
is highest in the case of degree and post-graduate
degree holders. They show the largest differential
dissatisfaction with their sense of achievement with
their job and next largest dissatisfaction is shown
with the influence over their job. Association of
higher levels of education with less satisfaction is a
surprising but a well-established result (Clark, 1996;
Clark et al., 1996; Clark and Oswald, 1996). Clark
and Oswald (1996) suggested that due to expectation
differentials between different levels of education,
the causal relationship between education and job
satisfaction is ambiguous. Blanchflower and Oswald
(1999) and Clark and Oswald (1996) initially found
a positive effect for education. But, this positive
effect disappeared once a control for income was used
in the regressions.
Marital status
We separated marital status into the two categories
married and single. The married category includes
those living with a spouse or a partner and the single
category includes those who are single, widowed,
divorced or separated. The cross-tabulation in
Table 2 shows that the married employees are less
satisfied with their job than those who are single for
all four measures of satisfaction. The regressions in
Table 3 confirm this results. Findings in the literature
on job satisfaction and marital status have been
mixed. Clark (1996) reports that married employees
are more satisfied. It is well known that married
individuals are happier in general. However, our
results indicate that they are less satisfied with their
jobs than single individuals.
Health problems
The survey question asks if the employee has any
long-standing health problems or disabilities, which
limit what they can do at work, at home or in their
leisure time. An affirmative answer indicates health
problems. The cross-tabulation in Table 2 shows that
a high proportion of employees with health problems
report high levels of satisfaction for all four measures,
except for satisfaction with amount of pay. When
other variables are controlled for in the regressions in
Table 3 we observe a statistically significant negative
relationship between health problems and all four
measures of job satisfaction, indicating that health
problems lead to lower levels of job satisfaction. This
is similar to the results obtained by Clark (1996).
Race
The ethnic group that employee belongs to are
categorized into White, Black and Asian. We observe
in the cross-tabulation in Table 2 that the proportion
of Blacks who are satisfied with the amount of
their pay is very low. In concordance with this
observation, in the ordered probit results in the
Table 3, blacks have lower levels of satisfaction with
the amount of their pay in comparison to Asians.
Whites have higher levels of satisfaction with their
pay in comparison to Asians. For the other measures
of job satisfaction Blacks and Whites are not
significantly different from Asians. Clark (1996)
also finds that the Blacks are relatively dissatisfied
with their pay.
Income
The cross-tabulation in Table 2 shows that a higher
weekly level of income is associated with higher levels
of job satisfaction. This table also shows a nonlinear
relationship between weekly income and different
measures of job satisfaction. Therefore the regres-
sions in Table 3 include the logarithm of weekly
income. The coefficient estimates are positive and
statistically significant indicating that higher pay is
associated with higher job satisfaction, except in the
cases of satisfaction with sense of achievement and
respect from supervisors. The strongest relationship
is found between weekly income and satisfaction
with the amount of pay. Clark and Oswald (1996)
and others found a strong negative relationship
between job satisfaction and a ‘comparison income’,
where the latter is measured in various ways as the
predicted income for the job or income of the other
household members or income received by the
respondent in the past.
Hours of work
Table 2 shows the proportion of employees who
are satisfied with different hours of work per week.
As is expected, long hours of work are associated
with lower levels of satisfaction using all four
measures. Accordingly, Table 3 includes the
logarithm of weekly hours of work, to take the
nonlinearity into account. Hours of work are strongly
and negatively related to satisfaction with the amount
of pay, consistent with economic theory. Similarly,
Clark (1996) finds that hours of work are strongly
negatively related with satisfaction with pay and less
strongly with overall job satisfaction. The coefficient
estimates are negative and statistically significant in
the cases of satisfaction with influence over job
1168 S. Gazioglu and A. Tansel
and satisfaction with respect from supervisors, while
insignificant in the case of satisfaction with sense
of achievement.
Establishment size
The cross-tabulation in Table 2 indicates a nonlinear
relationship between establishment size and the four
satisfaction measures. Accordingly in Table 3 the
logarithm of establishment size is introduced. It
enters with a statistically significant negative coeffi-
cient throughout, indicating lower levels of satisfac-
tion in larger establishments. The same result is found
by Idson (1990) with US data, and by Clark with
British data. Gazioglu and Tansel (2004) investigated
the nature of this relationship and its connection
to the structure of work environment and employee–
manager relationship.
Union membership
In Table 3 we observe a very strong negative rela-
tionship between union membership and the four
measures of job satisfaction. The results indicate that
union members are less satisfied with their jobs.
However there might be an issue of endogeneity
since dissatisfied workers are more likely to join the
unions. The relationship between job satisfaction and
union membership has been investigated by several
researchers, including Borjas (1979), Freeman (1978),
Meng (1990) and Miller (1990). Capellari et al. (2005)
investigated the endogenous union membership and
job satisfaction and found that union membership
does not affect job satisfaction.
Job security
With regards to job security the survey question
asked if the respondent agreed with the following
statement: ‘I feel that my job is secure in this work
place’. In this study, those who strongly agree or
agree with this statement are assigned a value of 1
and 0 otherwise. Inclusion of this dummy variable in
the regressions in Table 3 indicates that a secure job
leads to highly significant, higher satisfaction levels
for all measures of satisfacion considered. The issue
of job security and job satisfaction is investigated
by Blanchflower and Oswald (1999). They also found
that job satisfaction is higher among those with
secure jobs. They further asked the question if
US job satisfaction is falling because of increasing
job insecurity or because of the decline of trade
unions. They found that the answer was negative to
both of the querries.
Occupation and industrial composition
Three occupational categories are included. The
cross-tabulation in Table 2 indicates that the pro-
portion of those employees in managerial and
professional occupations who are satisfied or very
satisfied with their jobs is larger than the proportion
of those who are in clerical or sales occupations.
Table 3 also shows this pattern when controls are
introduced. Managers, professionals and clerical
employees are more satisfied with the influence
over their job (insignificant in the case of clerical),
with the sense of achievement, and with the respect
they get from their supervisors, compared to
sales employees. However, they are less satisfied
with the amount of their pay compared to sales
employees.
In this paper we also examined the effects of
industrial composition, which was not investigated
in the earlier literature. With regard to the industrial
composition, Table 3 indicates that the manufactur-
ing sector is not significantly different from the
wholesale and retail sector for all measures of job
satisfaction. The coefficient estimates in the elect-
ricity, gas and water sector are all statistically
significant and positive throughout, indicating
higher levels of satisfaction in this sector compared
to the wholesale and retail trade. Similarly in the
construction sector higher satisfaction levels are
obtained relative to the wholesale and retail trade
sector. In the transportation sector negative and
statistically significant coefficient estimates indicate
that employees in this sector are less satisfied with
respect to all satisfaction measures compared to
wholesale and retail trade sector employees. The
coefficient estimates for financial services sector are
all insignificant except in the case of satisfaction with
respect from supervisors. In the education sector the
coefficient estimate on satisfaction with influence
over the job is insignificant. However, education
sector employees seem dissatisfied with their pay but
highly satisfied with their sense of achievement and
with respect from supervisors. Health sector employ-
ees significantly differ in their satisfaction with the
influence over their job and with respect from their
supervisors from the wholesale and retail trade
employees. However, they are less satisfied with
their pay and more satisfied with sense of acheive-
ment compared to wholesale and retail trade sector
employees.
Training opportunities
The effect of training opportunities on job satis-
faction was not examined in the earlier literature.
Job satisfaction in Britain 1169
With respect to training opportunities during the past
year we observe in Table 3 that all of the coefficients
are statistically significant and positive, indicating
that training avaliability during the past year
leads to higher levels of job satisfaction compared
to no training. This is consistent with the hypothesis
that job satisfaction is an increasing function of
training opportunities (Hamermesh, 1977).
IV. Conclusions
This paper provides an empirical analysis of the
determinants of job satisfaction in Britain. Four
different measures of job satisfaction are used which
have not been considered before: satisfaction with
influence over job; satisfaction with amount of pay;
satisfaction with sense of achievement; and satisfac-
tion with respect from supervisors. Ordered probit
relationships are estimated relating job satisfaction
to a variety of personal and job-related character-
istics. This work attempts to further the analysis of
employee job satisfaction. We used data from the
1997 Workplace Employees Relationship Survey for
28 240 employees.
The main results can be summarized as follows:
men are less satisfied than women with various
aspects of their jobs; job satisfaction is U-shaped in
relation to age; the better-educated are less satisfied
relative to those with no or few qualifications; health
problems significantly reduce job satisfaction; higher
income produces higher levels of satisfaction; long
working hours reduce satisfaction; satisfaction is
lower in larger establishments. Union members
are less satisfied than non-members; employees
who feel that their job is secure exhibit higher levels
of job satisfaction; those who are in managerial,
professional and clerical occupations are more
satisfied than sales employees. Contrary to what
was found in previous literature, we found married
and partnered employees to be less satisfied than
the non-married.
We also reported results on job satisfaction and
industrial composition, which had not been investi-
gated in previous work. With regard to industrial
composition, satisfaction of those who work in the
manufacturing sector and the financial services
sector is not significantly different from those in the
wholesale and retail trade sector. Satisfaction of
workers in the electricity, gas, water and construction
sector is significantly more than those in the whole-
sale and retail trade sector. It was noteworthy that
those in the education and health sector are less
satisfied with their pay but more satisfied with
their sense of achievement. This result may have
significant policy implications, given the shortages of
employees in the health and education sectors in
Britain. Another result not reported in previous
work is related to job training. We found that those
employees who had job training were more satisfied
than those who had no training opportunities.
These results may be useful to policymakers both
in the public and private sector and employers
in general.
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