Introduction
How among women is precarious employment associated with inequalities? How should these inequalities be measured? How do they change over the life cycle and over time, net of all other covariates? We address these so far unexplored questions for the specific case of South Korea 1998–2008, because the labour market and family behaviour of South Korean women changed rapidly over that period. The increased labour market participation of South Korean women since the 1980s (42.8% of women in employment in 1980, 47.0% in 1990, 48.4% in 2000, and 50.0% in 2005 (Korean National Statistical Office, 2013)) has been accompanied by greater disparity in employment quality (Reference Kim and HongKim and Hong, 2009; Reference MinMin, 2008). The Korea Labour Institute (KLI) (2012) estimates at 21% the proportion of female workers holding well-paid positions in 2011, while the remainder are concentrated in casual or temporary jobs (Reference Kim and ParkKim and Park, 2006). In this context, many women leaving the traditional family role to enter the labour market experience precarious employment. Reference Keum and YoonKeum and Yoon (2011) claim that the polarisation between high-quality stable employment and precarious employment explains the ‘partial success’ of women’s employment in South Korea.
However, this sudden influx of women onto the labour market modifies inequalities inherited from the past. Should we measure these latter inequalities, or those associated with the change? These are two facets of women’s conditions, themselves affected by socioeconomic covariates and changing over time and with age. Measuring the forces of change is essential to the South Korean administration, which, under President Park Geun-hye, declared its objective to increase the women’s employment rate while improving women’s living conditions (project ‘Roadmap to 70% Employment Rate’, launched on 4 June 2013, Ministry of Employment and Labour, 2014).
Precariousness is a measure of the low quality of employment (Reference Burgess and CampbellBurgess and Campbell, 1998). Reference Kalleberg, Reskin and HudsonKalleberg et al. (2000) for the United States, Reference McGovern, Smeaton and HillMcGovern et al. (2004) for Great Britain, and Reference GottfriedGottfried (2008) for Japan have shown that unstable employment, that is, work taken for a limited, often short, period of time with no guarantee of re-employment, is associated with low job quality resulting from low wages and limited social benefits and statutory entitlements. Consequently, unstable employment has been considered as precarious employment (Reference Fuller and VoskoFuller and Vosko, 2008; Reference ShinShin, 2013). Reference Fuller and VoskoFuller and Vosko (2008) for Canada have shown that increased employment instability combined with low job quality worsen inequalities in the labour market, notably with regard to income. Reference KallebergKalleberg (2011) has shown that inequalities among workers widen as precarious employment increases. Reference StandingStanding (2011), Reference QuinlanQuinlan (2012), and Reference Wilson and EbertWilson and Ebert (2013) consider precariousness in employment and its associated inequalities as a major concern.
Labour market inequalities and job precariousness affect women in particular. They have entered the labour market massively, but at the cost of precariousness (Reference Kim, Min and KimKim et al., 2006; Reference ShinShin, 2013), with employment instability as its main cause and income inequality as a major consequence. The relative rarefaction of middle-level employment has tended to leave women in either good or bad jobs. That is why the South Korean female labour market has been described as polarised between stable employment of good quality and unstable employment of poor quality (Reference Kim, Min and KimKim et al., 2006). To confirm the association between precarious employment and rising inequalities among South Korean women, Reference ParkPark (2004), Reference Kim, Min and KimKim et al. (2006) and Reference MinMin (2008) addressed the difference in wages and working conditions between those in permanent full-time employment and those in precarious employment. They found that growing polarisation of employment is increasing inequalities among female employees. Although these authors capture part of the current inequalities on the South Korean labour market, they overlook the fact that income inequality and precarious employment are measured on observed prevalence, which as a matter of fact cumulates the employment histories of women since their first entrance in the labour market, and, for this reason, may not yet reflect the gradual but profound transformation of women’s place in South Korean society since the late 1990s. We shall return to this point in section ‘The condition of women in South Korea since the 1990s’.
Our hypothesis is that precarious employment, and the income equalities associated with it, may not accurately reflect changes in labour market conditions for women. The transformation of women’s status in South Korean society may have been accompanied by more egalitarian conditions, but this phenomenon will not necessarily show up in measurements of observed inequalities, which are dominated by the cumulative inheritance of past inequalities and precarious employment conveyed in individual trajectories. In Europe, more egalitarian conditions have led to higher employment quality (Reference Lopes, Lagoa and CalapezLopes et al., 2014).
Reference ChangChang (2001), Reference Yoon and ChunYoon and Chun (2008), and Reference ShinShin (2013) portray inequalities among South Korean women as resulting from their persistent overrepresentation in unstable low-quality employment but do not consider the possibility that this situation may in fact be changing. Work is expected to be an integrative force, at the price of precariousness (Reference EbertEbert, 2011; Reference Wilson and EbertWilson and Ebert, 2013). The changing social division of labour has two facets: the distribution of the prevalence of precariousness (reflecting the persistent effects of tradition) and the forces which are driving change (the de-traditionalisation processes (Reference EbertEbert, 2011)). The former should be considered when assessing the overall situation, while the latter should be taken into account when assessing the effect of a policy.
The dichotomy is then between stocks and flows, between conditions inherited from the past and conditions of the moment. The stocks and flows distinction corresponds to the distinction made in epidemiology between observed and asymptotic prevalence, or in demography between proportion surviving at each age (from birth to present) and period survival (a fictitious cohort submitted to the mortality conditions of the moment). In our application, this dichotomy is present in the question of which phenomenon is more important: the burden of the historically inegalitarian structures of South Korean society, or the current mobility between precarious employment types that is leading to a more egalitarian society? Both phenomena are important, but the latter is often overlooked, because less easy to observe from direct measurements. The alternative hypothesis is that, despite changes in legal frameworks and social attitudes, precarious employment and the associated inequalities persist and that the conditions of the moment maintain and even reinforce the conditions of the past, a scenario which if confirmed would indicate an ineffectiveness of sex discrimination reforms to improve the position of women in the labour market.
To test this hypothesis, we shall disentangle the moment conditions of precarious employment and estimate the inequalities implied by these conditions of the moment, for comparison with the observed inequalities. We use a follow-up of women in their precarious employment status between at least two dates. For this, we use the Korean Labour and Income Panel Study (KLIPS) containing annual waves from 1999 to 2008 (section ‘Data and method’). The available covariates (age class, period, education, marital status, part- or full-time employment, total number of children, presence of children under 6, type of occupation, percentage of gross domestic product (GDP) in public social expenditure for family, discretised into four classes, and the mean unemployment rate for this configuration put in categories) empirically constitute 8860 combinations. For each of them, the forces of transition are gathered in a Markov transition matrix (then we compute 8860 matrices). The right eigenvector of this matrix associated with the dominant eigenvalue, equal to 1, yields the distribution of asymptotic prevalence, with associated income values (section ‘Observed and asymptotic prevalence distributions’). Lorenz curves and Gini coefficients characterise the inequalities associated with these asymptotic distributions (section ‘Income inequalities associated with prevalence of precarious employment’). We shall show that while current labour market trends are driving women towards stable good-quality employment, the largest proportion of women is observed in unstable poor-quality employment. We show that forces of the moment lead to the predominance of stable good-quality jobs, while observed prevalence at a given date is above all characterised by the polarisation of the labour market between stable good-quality and unstable poor-quality jobs. We reveal a steady increase in stable but poor-quality employment. We show that the forces of the moment tend to attenuate an age cleavage, with older women increasingly moving into either stable bad-quality or unstable good-quality jobs, and less into unstable bad-quality jobs which until recently were the most prevalent.
The condition of women in South Korea since the 1990s
Changes in demography, sex discrimination, and employment
How have inequalities and precarious employment been affected, if at all, by the major changes in the condition of South Korean women since the 1990s? According to the Korean National Statistical Office (2013), the total fertility rate has declined to low levels, from 1.63 in 1995 to 1.47 in 2000, 1.08 in 2005, and 1.23 in 2010. The mean age at first childbearing has increased from 26.7years in 1996 to 27.7 in 2000, and 29.1 in 2005; the percentage of women never married at age 30 has increased from 1.9% in 1995 to 2.6% in 2000, 3.6% in 2005, and 6.6% in 2010. The percentage of women over 25 with a college or university degree has risen from 8.3% in 1990, to 13.1% in 1995, 18.0% in 2000, 25.4% in 2005, and 32.1% in 2010. Since the 1990s, women have increased their presence as wage-earners: dual-income families represented 33.4% of all households while families with a single income earned by the woman were 2.3% in 1995; the respective proportions were 35.4% and 3.7% in 2000; and 35.2% and 4.0% in 2005.
Sex discrimination in the South Korean labour market was outlawed by the Equal Employment Act of 1987 (Reference Kim and VoosKim and Voos, 2007; Reference ParkPark, 2010). This legislation resulted from the campaign for gender equality in the democracy movement of the 1980s (Reference KimKim, 2006; Reference Park, Park and KyunPark et al., 2009). Footnote 1 It establishes the principle of equal pay for equal work, prohibiting discrimination in recruitment, promotion, training opportunities, and dismissal, and protecting against discrimination over marital status, pregnancy, childbirth, and maternity leave. Since an amendment in 2005, affirmative action has been introduced requiring public and private firms to employ more female workers and managers, with some effect: Reference Park, Park and KyunPark et al. (2009) report that female executives became more numerous in firms following affirmative action, and that women’s earnings as a proportion of men’s rose from 45.4% in 1985 to 52.9% in 1990, 64.2% in 2000, and 64.2% in 2008. Firms employing less than 60% of the industry average for female employees, both workers and managers, were required to hire more women. Since 1987, the gender wage gap has narrowed (Reference Monk-Turner and TurnerMonk-Turner and Turner, 2004), more married women have entered the labour force (Reference KangKang, 2007; Reference ParkPark, 2010), and occupational segregation has decreased (Reference KimKim, 2000), even after the economic crisis of 1997 (Reference Kim and VoosKim and Voos, 2007).
The increasing participation of married women in the labour market since the 1980s has challenged the traditional child care–centred role of women laid down in Confucian teaching (Reference Roh, Gelb and PalleyRoh, 1994). The Child Care Act of 1991 and its revisions were devised to facilitate reconciling family life with women’s employment, through developing professional child care and government support (Reference KimKim, 2006; Reference Kim and MoonKim and Moon, 2009). Since the 1990s, aspiration for personal achievement has been cited as one of the main reasons for women undertaking paid employment (Reference ShinShin, 1998). Women are no longer motivated solely by earning money for family purposes: in 1988, 16.7% of all women aged over 15 wished to continue their careers regardless of family situation; in 1998, the proportion was 30.4%; and in 2006, 50.4% (Korean Women’s Development Institute, 2006, 2013).
The higher proportion of educated women, together with the democratisation of South Korean society, has contributed much to narrow the gender wage gap (Reference Kim and VoosKim and Voos, 2007) and to broaden women’s access to professional and managerial positions (Reference BaeBae, 2009; Reference KangKang, 2007). While the economic crisis of 1997 drove more women than men to take unstable low-quality jobs, women’s position in society has continued to improve. Reference CheonCheon (2007) shows that, from 1996 to 2006, the total number of women in high-paid jobs has risen more than twice as fast as the number in low-paid jobs. Women are less willing to accept the gender roles they did in the past. The ‘male breadwinner’ model is being replaced by the ‘double income family’ model (Reference Kim and FinchKim and Finch, 2002). The post-feminist image of the hedonistic woman has superseded that of the woman as devoted wife and mother, in South Korean social attitudes.
Inequalities and the polarisation between ‘good’ versus ‘precarious’ employment
According to Reference Morris, Bernhardt and HandcockMorris et al. (1994), the transition to a service-based economy generates more highly paid and stable employment, with more occupational mobility, and more low-paid, low-skill, unstable jobs, to the detriment of middle-level jobs. This polarisation between stable, good-quality jobs and precarious employment is thought to be the cause of the rise in income inequality (Reference Goos and ManningGoos and Manning, 2007; Reference Morris, Bernhardt and HandcockMorris et al., 1994; Reference Wright and DwyerWright and Dwyer, 2003). For South Korean women, Reference ParkPark (2004) documents that, between 1999 and 2002, women in unstable employment, although working the same number of hours as those in stable employment, earned 42% less, and four out of five women in unstable employment were neither receiving statutory benefits nor covered by social protection or pension plans. Accordingly, South Korean people are aware of precarious employment and equate good jobs with permanent full-time positions (Reference LeeLee, 2006; Reference SongSong, 2010). Reference Kim, Min and KimKim et al. (2006) show that the labour market for women in South Korea is ‘polarised’ between high-paid stable jobs filled by highly educated young women and low-paid unstable jobs filled by older women of low educational attainment. Reference MinMin (2008) also defines polarised employment on the basis of earnings by occupation. Reference Kim and ShinKim and Shin (2008) focus on married South Korean women and find a similar polarisation linked to precarious employment that produces income inequalities.
However, to define polarisation simply in terms of employment stability overlooks the persistence of inequality within the group of well-paid stable jobs. Reference ChanChan (2013) shows that different levels of precariousness exist even in so-called ‘professional’ occupations. Reference Burgess and CampbellBurgess and Campbell (1998), and Reference Cranford, Vosko and ZukewichCranford et al. (2003) advocate using the term ‘precariousness’ as a multidimensional measure of employment quality. Reference PaugamPaugam (2000) establishes a typology of precarious employment based on employment stability and on the subjective evaluation of employment as an indicator of quality. Reference KimKim (2015) uses this typology to examine the determinants of the transitions for South Korean women between the various precarious employment types from 1999 to 2008. We use this author’s estimates of transition rates (Reference KimKim, 2015) to estimate the transition matrices between types of precarious employment by combinations of covariates and deduce the inequalities associated with the conditions of the moment.
Data and method
We exploit the follow-up data from the KLIPS, a nationally representative panel survey conducted annually between 1999 and 2008. The database contains 10 waves, yielding a dataset of 6145 women between 16 and 64years of age for our purpose. It gathers information about household formation, household income and assets, and individual employment, income, education, and social welfare benefits. We use the weights provided by the KLIPS.
Reference PaugamPaugam (2000) identifies four types of precarious paid employment, presented in Table 1: ‘stability-good quality’ (SG), ‘instability-good quality’ (IG), ‘stability-poor quality’ (SP) and ‘instability-poor quality’ (IP). These are based on women’s self-evaluation of employment stability on the one hand, and employment quality measured from the responses to eight items on job satisfaction, on the other hand. Scoring above or below the mean for these two criteria defines the four types of precarious employment.
Table 1. Reference PaugamPaugam’s (2000) types of precarious employment: ‘+’ indicates ‘above the mean’, and ‘–’ indicates ‘at or below the mean’.
Source: Calculated from KLIPS (the Korean Labour and Income Panel Study).
Table 2 presents the distribution of female respondents in KLIPS by age class and date. Reference KimKim (2015) estimates the probabilities of transitions between SG, IG, SP, IP and NT as functions of date, age, marital status, number of children under 6, education, duration of paid work experience, occupation, and duration spent in the starting state. The author uses a multilevel discrete-time hazard model, allowing for correlation between repeated episodes from the same woman and for a random effect representing unobserved risk factors shared by each woman w in episode s from date t to date t+1. The probability
of being in type of precariousness
at the beginning of date t+1 for those in type of precariousness
at the beginning of date t is (Reference Lillard, Panis and UpchurchLillard et al., 1994; Reference SteeleSteele, 2008, Reference Steele2011)
where t is the discrete-time unit, a year in our case,
,
, and
are coefficients of duration, age and date, respectively, and
a vector of coefficients. All these coefficients depend on the transition
to
considered.
is the sojourn time in
at date t,
is the woman-specific perturbations,
is the episode-specific perturbations for woman w, and
are the values taken by other explanatory variables. Tables 2 to 5 in Reference KimKim (2015) present the estimates of the coefficients of duration, age and date, controlling for other variables, obtained in the regression (1). The expected probability of a woman w during spell s and in precarious state
after
years in this state, from date t to date t+1, age a at the beginning of t, and explanatory variables
to be in state
at the beginning of year t+1, after eliminating the variations inherent in individuals and spells, is
Table 2. Distribution of person-years in employment types by age and date in the Korean Labour and Income Panel Study (KLIPS), 1999–2008 (N=6145 women=33,106 person-year observations).
These coefficients vary with the transition
to
considered. For a duration of up to 7years and the five types IG, IP, NT, SG and SP, the
transition matrix
at age a and value
of explanatory variables can be expressed as a
matrix whose rows and columns represent the five types of precariousness and whose elements are
matrices
allowing us to transit from a type-duration
at t to another
at t+1,
. For
,
is filled entirely with zeros, except the first row filled with
in the jth column, j=1,…, 7, which is the probability to move from type-duration
(duration in
between j–1 and jyears except for 7, which includes duration of 6years and over) to type-duration
. For
is filled entirely with zeros, except the first sub-diagonal filled with
in the jth column j=1,…, 6, which is the probability to move from type
(duration between j–1 and j years) to type
, and except the cell (7, 7) filled with
, as column 7 includes all durations equal or longer than 6years.
The total number of women in type of precariousness-duration i (i=(IG, 1year), (IG, 7years), (IP, 1year),…, (IP, 7years), (NT, 1year),…, (NT, 7years), (SG, 1year),…, (SG, 7years), (SP, 1year),…, (SP, 7years)) at time t is
. The population vector is
, and
. The matrix
, being column stochastic, has a dominant eigenvalue equal to 1. The existence of a dominant eigenvalue implies the convergence of the iterates
of the matrix
,
, and the convergence of the distribution of
towards the first right eigenvector V of
(Reference CohenCohen, 1979). This vector yields the distribution of asymptotic prevalence, which depends only on the transition matrix, not on the distribution of precarious employment at the starting date. This distribution of asymptotic prevalence reflects the conditions of the moment, because it synthesises the transition probabilities in terms of prevalence. It is also the distribution of prevalence that would be observed if these conditions of the moment persisted for long enough. It thus has a degree of predictive power, provided conditions in subsequent periods do not change much. The rate at which the observed distribution converges to the asymptotic distribution, if the conditions of the moment were maintained constant, is asymptotically given by the logarithm of the ‘damping ratio’
(Reference CohenCohen, 1979), where
is the first eigenvalue, here equal to 1, and
the second eigenvalue. In the case of the KLIPS, the rates
of convergence to asymptotic prevalence vary little by age and date, and are equal to −0.22 (standard deviation (SD)=0.11) on average. After one 3-year interval, the distance of
to the right eigenvector has decreased by a factor
, then by 20% on average; after 9years or three 3-year intervals, it has decreased by a factor
then, almost 50%.
The vector gathering all right eigenvectors
weighted by the probabilities
that the covariates
take the values
keeps the structure of the dataset in covariates
, but replaces the observed prevalence in precarious types IG, IP, NT, SG and SP by the asymptotic prevalence. We do not address the problem of how the structure in
will change, but, given the structure in
, investigate the prevalence distribution associated with the forces of transition of the moment. Practically, the KLIPS dataset contains 8860 configurations, combining age, period, education, marital status, part- or full-time employment, total number of children, presence of children under 6, type of occupation, percentage of GDP in public social expenditure for family, discretised into four classes, and the mean unemployment rate for this configuration. The SAS program producing the vectors
takes 7hours to run on a Dell Precision M6600.
Results
Observed and asymptotic prevalence distributions
Figure 1 upper panel shows the example of the observed distribution of women in 1999–2001 by age among the four types (the ‘non-type’ is ignored for the sake of clarity) from the KLIPS dataset: in this example, women aged under 40 are concentrated in the ‘stability-good quality’ type, compared to those over 40, who are distributed more evenly between ‘stability-good quality’ and ‘instability-poor quality’. The same is true for subsequent periods, with the difference that more women are in the ‘instability-poor quality’ category in 2002–2004 and 2005–2008 than in 1999–2001 (Figure 1, lower panel representing the observed prevalence in 2005–2008). These distributions of observed prevalence are consistent with the description of the South Korean female labour market as polarised between unstable poor-quality and stable good-quality employment. These distributions depend on education, marital status, part- or full-time employment, total number of children, occupation, expenditure on family support policies, as shown by Reference KimKim (2015).
Figure 1. Observed prevalence of precarious employment types by age for two periods.
IP: instable employment of poor quality; SP: stable employment of poor quality; IG: instable employment of good quality; SG: stable employment of good quality.
An examination of all observed prevalence distributions by age and period shows a decrease in the frequency of women in the ‘stability-poor quality’ type from 1999–2001 to 2002–2004 on average (−36%), then a slight increase from 2002–2004 to 2005–2008 (+8%); and a decrease of the frequency of women in the ‘instability-good quality’ group (−40% from 1999–2001 to 2002–2004 on average, −5% from 2002–2004 to 2005–2008), as it is visible from Figure 1 upper panel (period 1999–2001 compared with Figure 1 lower panel, 2005–2008).
The similar figure for 2002–2004, not shown, is coherent with the decreasing trend of these frequencies, which reveals an increased polarisation over the period 1999–2008. The prevalence of women in ‘instability-poor quality’ jobs increases for all age classes from 1999–2001 to 2002–2004 (+37% on average) then decreases (−11% from 2002–2004 to 2005–2008); the prevalence of the ‘stability-good quality’ category increases for all age classes up to age 45 (+4% on average from 1999–2001 to 2002–2004, +25% from 2002–2004 to 2005–2008); and decreases then increases after age 45 (−12% then +22%). Figure 2 shows this variation across ages for two periods.
Figure 2. Observed prevalence of precarious employment types for two age classes.
IP: instable employment of poor quality; SP: stable employment of poor quality; IG: instable employment of good quality; SG: stable employment of good quality.
Figure 1 upper and lower panels are also consistent with an age cleavage, whereby women aged over 35 are more frequent in the ‘instability-poor quality’ category and women under 35 are more frequent in the ‘stability-good quality’ group. This is because women in their 30s are more likely to take unstable employment, which is often associated with exclusion from social insurance and statutory benefits, and with low wages (Reference JungJung, 2006). South Korean women tend to interrupt their careers and exit the labour market after childbirth in their late 20s and early 30s. They return to work in their late 30s and early 40s when their children are attending school full time (Reference Keum and YoonKeum and Yoon, 2011). These interruptions prevent women from accessing well-paid stable employment (Reference EunEun, 2009; Reference ParkPark, 2003). For example, Reference HwangHwang (2003) shows that married women aged over 35 are primarily employed in services, sales and manual occupations, while women aged under 35 are employed mainly as professional, semiprofessional or clerical workers. This helps to explain the age cleavage between satisfactory levels of job stability and quality for women under 35 and the unstable poor quality jobs of those over 35.
Figure 3 shows the distributions of asymptotic prevalence for all age classes in 1999–2001 and 2005–2008 (the figure for 2002–2005 is similar), and Figure 4 for two exemplary age classes followed over time. Table 3 presents a synthesis of the mean prevalence. The conditions of the moment tell a different story from observed prevalence.
Figure 3. Asymptotic prevalence of precarious employment types by age for two periods.
IP: instable employment of poor quality; SP: stable employment of poor quality; IG: instable employment of good quality; SG: stable employment of good quality.
Figure 4. Asymptotic prevalence of employment types over time for two age groups.
IP: instable employment of poor quality; SP: stable employment of poor quality; IG: instable employment of good quality; SG: stable employment of good quality.
Table 3. Mean observed and asymptotic prevalence of women’s employment types, South Korea, by age and period, in percentage.
Source: Korean Labour and Income Panel Study (KLIPS).
First, for all ages and all periods, the asymptotic prevalence in ‘instability’ types is lower than observed prevalence, which indicates that the conditions of the moment are favouring stability in female employment.
Second, ‘instability-poor quality’ predominates in the observed distribution, while ‘stability-good quality’ does so in the asymptotic prevalence (Table 3). This indicates that the forces of the moment are working against the situation inherited from the past.
Third, the state ‘stability-poor quality’, although not predominant, sees its asymptotic prevalence increase steadily from 1999 to 2008 for all ages, while ‘stability-good quality’, although predominant, decreases. The sum of the asymptotic frequencies in stability types is constant for women under 40 (by summation in Table 3: 78% in 1999–2001, 77% in 2002–2004, and 78% in 2005–2008), and for women over 40 (75%, 73%, and 75%). The quality of employment has decreased steadily over the period (by summation in Table 3, the asymptotic prevalence in types of poor quality is 23% in 1999–2001, 25% in 2002–2004, 30% in 2005–2008 for women under 40, and 23%, 25% and 27% respectively for women over 40). The transitions in the labour market have preserved employment stability for women, but employment quality has deteriorated. The corresponding observed frequencies do not reflect this movement: the prevalence of poor quality increases then decreases, while the prevalence of stability decreases then increases.
Fourth, observed prevalence values indicate women over 40 as considerably more numerous than under-40s in the state ‘instability-poor quality’ (47% vs. 31% in 1999–2001, 62% vs. 44% in 2002–2004, 59% vs. 37% in 2005–2008), and less numerous in ‘stability-good quality’ (20% vs. 30% in 1999–2001, 19% vs. 31% in 2002–2004, 22% vs. 39% in 2005–2008) (Table 3). In contrast, the asymptotic prevalence for both ‘instability-good quality’ and ‘stability-poor quality’ is almost the same for women aged over 40 as for those under 40 (Table 3). In contrast to observed prevalence, however, asymptotic prevalence shows that there are far fewer women over 40 than women under 40 in the ‘stability-poor quality’ type. The age cleavage manifests itself through higher observed prevalence for older women in ‘instability-poor quality’ and for younger women in ‘stability-good quality’ (Figure 1), even though the transitions of the moment are driving old and young women alike towards ‘stability-good quality’ (Figure 3): it comes as no surprise that older women continue to bear the imprint of a labour market known to have discriminated against women.
The similarity of asymptotic prevalence at all ages for the two types IP and SG proves that professional mobility is changing the prevalence distribution, and that women of all ages have the same professional mobility with regard to ‘stability-good quality’ and to ‘instability-poor quality’. The difference, however, arises from the fact that older women start from a more disadvantaged situation. The age cleavage also manifests itself through the lower prevalence of older women in the two intermediary types of precarious employment (‘instability-good quality’ and ‘stability-poor quality’). This indicates that older women do not benefit from a learning phase where they could be ‘in-between’, and are classified as able to take a stable good quality job only if they have already acquired the resources to obtain it. If, on the other hand, they lack social and professional skills they are relegated to unstable poor quality work.
Table 4 presents expected sojourn times in each state of precarious employment, by period, formally
, for
=SG, IG, SP, IP, NT, with the structure
of configurations of covariates available in KLIPS. This indicator, similar to the period life expectancy in demography, quantifies the time that would be spent by a cohort experiencing the asymptotic prevalence values through successive ages at a given period. It confirms the decrease of ‘instability-poor quality’, the (asymptotic) predominance of ‘stability-good quality’, and the increase of ‘stability-poor quality’.
Table 4. Expected sojourn time within a life-cycle perspective, by period, in years, South Korean women.
Income inequalities associated with prevalence of precarious employment
Lorenz curves and their associated Gini indices characterise the inequalities associated with observed or asymptotic distributions and are routinely computed for income distributions. We adapt this technique to the classification of women in terms of precarious employment types, by associating the mean incomes computed from the KLIPS over the corresponding period.
Figure 5 shows the Gini indices associated with the observed prevalence, that is, the measures of income inequalities inherited from past professional trajectories from labour market entry up to the present. Figure 6 shows the Gini indices associated with the asymptotic prevalence, that is, the measures of income inequalities implied by the transitions of the moment.
Figure 5. Gini indices for income equality on observed prevalence by age class.
Figure 6. Gini indices for income equality on asymptotic prevalence by age class.
As before, these two sets of curves tell different stories. For asymptotic prevalence, the temporal drift towards less ‘instability-poor quality’ and more ’stability-good quality’ jobs and the increase in the ‘stability-poor quality’ category implies less inequality than the observed prevalence in terms of the income distribution associated with precarious employment types. Moreover, Figure 5 for observed prevalence shows a steady increase in income inequalities at every age over time, while Figure 6 for asymptotic prevalence, after an increase from 1999–2001 to 2002–2004 at all ages, shows no variation between 2002–2004 and 2005–2008 for women aged 26–30, 46–50 and 51–64years, and a decline for women aged 16–25, 31–35 and 36–40years. The 41–45years age class is the exception in having increasing inequality over time. Reference Kim and HongKim and Hong (2009) also find an increasing trend in the observed income inequalities.
One possible explanation for unchanging inequalities among women over 50 is that older South Korean women in paid work tend to be concentrated in low-paid jobs. Reference Kim, Min and KimKim et al. (2006) point out that the total number of jobs for women aged over 50 has grown rapidly in the three lowest deciles of the income distribution since 2000. Therefore, the transitions of the moment could reflect the reality of the generalisation of low salaries for South Korean women, who may prefer to remain in paid employment beyond the average retirement age in the mid-50s.
Conclusion
Our estimate of the distribution of observed prevalence from the KLIPS data confirms the polarisation of the South Korean female labour market. We have also confirmed that observed prevalence distinguishes younger women, more prevalent in the least precarious employment types, from older women, more prevalent in the most precarious types. This is consistent with South Korean women’s labour force participation over the life cycle, to which career interruption gives an M-shaped age profile. This interruption accentuates inequalities among women over 40, because women pursuing their careers are more likely to be in well-paid stable employment, while those interrupting tend to end up in low-paid unstable employment, whatever their previous work experience. A consequence is that inequalities, measured by Gini indices, are higher among women aged over 40 than aged under 40. Observed prevalence confirms the legacy of unequal past conditions.
Our picture of the labour market for South Korean women is upturned, however, by measurement of asymptotic prevalence. This reveals what was present but not visible in the hazard rates of the transitions between the types of precarious employment. Women start from a polarised situation, but the conditions of the moment correspond to women moving towards a situation characterised by better stability and better quality employment. This trend affects all ages alike, causing the age cleavage to diminish. In this case, a higher proportion of women in stable good quality employment and a smaller proportion in unstable poor-quality employment reduce inequalities with respect to the mean incomes prevailing in the different types of precarious employment. Increasingly, women are accessing better positions, thanks to social changes affecting the status of women, thanks also to an active public policy of promoting equal opportunities for women. The movement towards more professional, managerial and semiprofessional employment from the 2000s was identified by Reference Kim, Min and KimKim et al. (2006), and by Reference Keum and YoonKeum and Yoon (2011). The possibilities now opening up to South Korean women are reflected in the sharp break between the situation inherited from the past and the conditions of the moment.
Inequalities have two facets, which do not tell the same story. The legacy of the past accounts for women’s traditional position in the labour market, resulting in gendered precariousness, while the conditions of the moment indicate that times are changing, and changing for the better (in the conditions of 1999–2008). The current movement is towards less precarious employment. South Korean efforts to reduce women’s inequalities are already bearing fruit, as shown by the conditions of the moment, but there is still a long way to go, as shown by the conditions inherited from the past. The government’s policy (Ministry of Employment and Labour, 2014) to accompany career interruption and support the work–family balance by favouring decent part-time jobs must be pursued.
Funding
The author(s) received no financial support for the research, authorship and/or publication of this article.
