![]() This article reprinted from "Al-Abhath Vol. XLV, 1997", by permission of the author
WOMEN'S EDUCATION, ECONOMIC ACTIVITY
AND FERTILITY :
|
Source of Variation | Sum of Squares |
DF | Mean Square |
F | Significance of F |
Covariates Current age of the women Square of current age of the woman |
19.247 1.518 17.729 |
2 1 1 |
9.624 1.518 17.729 |
4.560 0.719 8.401 |
0.012 0.398 0.004 |
Main Effects Women's education Women's age at marriage Women's work status Husband's income |
85.035 23.259 26.071 27.519 8.186 |
9 1 4 2 2 |
9.448 23.259 6.518 13.759 4.093 |
4.477 11.021 3.088 6.520 1.939 |
0.000 0.001 0.017 0.002 0.047 |
Explained | 147.500 | 39 | 3.782 | 1.792 | 0.006 |
Residual | 356.653 | 169 | 2.110 | ||
TOTAL | 504.153 | 208 | 2.424 |
The corresponding MCA output is presented in Table 2, which is given in absolute form. The hierarchical analysis gives the effect of a particular variable controlling for the effects of all the preceding variable(s) and the covariates taken as the adjusted values. For example, the effect of women's work participation on fertility is reflected by the fact that higher prestigious workers had borne, on average, 2.4 children, the lower prestigious workers 1.9 children and the nonworking women 2.9 children after controlling for the effects for the effects of age at marriage, education and the covariates (current age and its square) (Table 2).
Unadjusted | Adjusted | ||||
Predictor Variables | N | Fertility | Eta | Fertility | Beta |
Women's Education Below secondary Secondary & above |
108 101 |
2.88 2.44 |
2.14 |
2.80 0.27 |
0.21 |
Women's Age At Marriage (14-17) (18-21) (22-25) (26-29) (30+) |
23 60 76 34 16 |
3.26 2.85 2.37 1.91 1.69 |
0.30 |
3.35 2.83 2.43 1.82 1.44 |
0.33 |
Women's Work Status Higher prestigious occupations Lower prestigious occupations Non-working women |
75 50 84 |
2.11 2.02 3.08 |
0.32 |
2.37 1.92 2.91 |
0.25 |
Husband's Income < US $375 US $375 but less than US $750 > US $750 |
46 106 57 |
2.41 2.59 2.33 |
0.07 |
2.08 2.59 2.61 |
0.14 |
Multiple R Squared | 0.217 | ||||
Multiple R | 0.455 |
Grand Mean = 2.48
As the results show, the fertility the of working women is much lower than that of the non-working women. Again, the fertility of women working in lower prestigious occupations was relatively less than those who were engaged in higher prestigious occupations. Other salient findings emerging from this analysis are summarized as follows:As expected, both women's education and age at marriage are found to be universally related to fertility. Age at marriage seems to have greater effect on fertility as compared to education. For example, women who married between age 14 and 17 had on average 3.4 children, whereas those married between age 26 and 29 had borne on average 1.8 children.
It appears also that income had a positive effect on fertility. For instance, women having husband's income less than US $375 had on average 2.1 children and those more than US $750, 2.6 children. Further, it may be mentioned that the effects of all the predictors, except the income, on the dependent variable (children ever born), are found to be highly significant (Table 1).
As stated earlier, in the second analysis (Model 2), husband's education and satisfaction derived from child care arrangements when the mother was at work are included as predictors to the set of explanatory variables of the first model. The latter predictor added to the analysis is taken as the proxy for maternal role incompatibility and is assumed to influence the dependent variable (number of children ever born). Results of the second analysis are presented in Tables 3 and 4 as ANOVA and corresponding MCA outputs, respectively.
Source of Variation |
Sum of Squares |
DF |
Mean Square |
F |
Significance of F |
Covariates Current age of the women Square of current age of the woman |
22.240 1.967 20.273 |
2 1 1 |
11.12 1.967 20.273 |
8.367 1.480 15.254 |
0.003 0.303 0.001 |
Main Effects Husband's education Women's education Women's age at marriage Women's work status Satisfaction |
230.327 16.241 157.642 33.277 8.421 14.751 |
18 1 9 4 2 2 |
12.796 16.241 17.515 8.319 4.210 7.375 |
9.628 12.220 13.179 6.259 3.168 5.549 |
0.000 0.003 0.000 0.002 0.004 0.000 |
Explained | 252.567 | 20 | 12.628 | 9.502 | 0.000 |
Residual | 241.906 | 182 | 1.329 | ||
TOTAL | 494.473 | 202 | 2.448 |
The results of ANOVA show that all the explanatory variables taken in the model had a significant effect on the number of children ever born (fertility). Table 4 reveals that as the level of education of the husband increases, fertility shows a slight decrease. But increase in women's education seems to have greater influence in the reduction of fertility. As before, for the age at marriage the average number of children ever born decreases significantly with the increase in the age at marriage.
Unadjusted | Adjusted for indendents + Covariates |
||||
Variable + Category | N | Fertility | Eta | Fertility | Beta |
Husband's Education Below secondary Secondary & above |
93 116 |
2.09 2.77 |
0.22 |
2.43 2.48 |
0.06 |
Women's Education Below secondary Secondary & above |
108 101 |
2.09 2.43 |
0.28 |
2.83 2.06 |
0.22 |
Women's Age At Marriage (14-17) (18-21) (22-25) (26-29) (30+) |
23 60 76 34 16 |
3.22 2.87 2.33 1.91 1.68 |
0.30 |
3.25 2.96 2.38 1.76 1.32 |
0.36 |
Women's Work Status Higher prestigious occupations Lower prestigious occupations Non-working women |
75 50 84 |
2.07 2.00 2.57 |
0.35 |
2.14 1.68 3.21 |
0.30 |
Satisfaction No role incompatibility Satisfied Dissatisfied |
118 37 54 |
2.64 2.48 1.98 |
0.26 |
2.88 2.27 1.67 |
0.35 |
Multiple R Squared | 0.530 | ||||
Multiple R | 0.704 |
Grand Mean = 2.46
Women's work status is found to have greater impact on fertility. Nonworking women had, on average, more children as compared to working women after adjusting for the effects of covariates and other predictors, namely, husband's education, women's education and women's age at marriage. Interestingly enough, among the working women, those engaged in higher prestigious occupations had higher fertility than those working in lower prestigious occupations. The former have had on average 2.1 children as against 1.7 borne by women working in lower prestigious occupations. It may be noted that the women who were satisfied with the type of care they provided for their children when they were at work, had more children that those who were not satisfied. The "satisfaction" has been taken as a proxy measure of maternal role incompatibility. Thus, it may be inferred that the women who experienced maternal role incompatibility had lower fertility as compared to those women having their two roles-as a mother and as a workercompatible. Non-working women, who did not experience role conflict, had higher fertility-such women had borne, on average 3.2 children.
The predictors and covariates of the model explain 53% of variation in the dependent variable as shown by the value of multiple R 2 . It may be noted that the inclusion of the variable "satisfaction" in the second model has dramatically increased the value of multiple R 2 to 53.0 from 21.7 in case of the first model. This clearly shows the importance of maternal role incompatibility in explaining the fertility of working women.
In the sample under study, higher educated working women engaged in higher prestigious occupations were working out of career aspirations while the lower educated women were driven to participate in the labor force out of economic need and were in lower prestigious occupations. For the child-rearing practices, leaving the baby 'with the parents' of the mother remains the most popular arrangement to take care of the infant when the mother is at work in the case of lower educated women, while the 'nursery' is the preferred solution in the case of higher educated women. This difference in child-rearing practices leads to a variation in the degree of satisfaction derived from the child-care arrangements which, in turn, may strengthen or weaken the relationship of role incompatibility with fertility in two different groups of women. Seventy percent of the women .working in lower prestigious occupations felt discomfort in leaving their children to be cared for by their parents, while the higher educated working women revealed that they were satisfied with leaving their child at a nursery. If perceived dissatisfaction with child care arrangements is considered as the proxy measure for role incompatibility between roles of motherhood and work, it can be said that role incompatibility, though present in both the higher and lower educated group of working women, is experienced more in the lower educated category. Actually, in the present sample, women working in lower prestigious occupations had borne on average 1.7 children as compared to 2.1 children born to women working in higher prestigious occupations. Non-working women had borne on average 3.2 children.
Moreover, on returning home after a day's work, women in lower prestigious occupations have to complete the household work themselves. In fact, they put their young child aside and do the household work. As for women working in higher prestigious occupations, they may employ a maid to assist them in household work while they nurture their child. Thus, the effect of women's maternal role incompatibility on fertility in the case of women engaged in lower prestigious occupations seems to be stronger than those working in higher prestigious occupations, resulting in lower fertility of the former. The results of ANOVA have also shown that maternal role incompatibility had a significant effect on the number of children born (fertility). The results show that nonworking women who did not have the problem of role conflict had borne, on average, more children. Women engaged in higher prestigious occupations who were satisfied with the type of care they were providing for their children when they were at work, had borne, on average, more children as compared to women in lower prestigious occupations who seemingly experienced greater role conflict. The inclusion of the variable "satisfaction with the child care arrangements" taken as a proxy for maternal role incompatibility in the second analysis, had considerably increased the predictive power of the model. Although the study is based on data collected from one private school only, the results have clearly demonstrated a greater impact of maternal role incompatibility as compared to education in the reduction of fertility of working women.
The effect of maternal role incompatibility in the family building of working women can analogously be viewed as the function of a resistance in an electrical circuit. If resistance is high, the current in the circuit would be low. The impact of maternal role incompatibility on fertility is similar. The three factors, namely, the possibility of raising children while at work, the availability of parental surrogates and income enabling a woman to put her child in a nursery/creche or to employ a maid, act as a shunt which short-circuits the resistance and weakens its effect resulting in increase of current in the circuit (see Fig. 1). Similarly, these factors enfeeble the influence of maternal role incompatibility in the work-fertility relationship and thus promote higher fertility.
Aoun, H. (1995). Women's Economic Activity, Maternal Role Incompatibility and Fertility in a Lebanese Community. Unpublished Master's Thesis. American University of Beirut, Lebanon.
Bhargava, P.K. & Saxena, P.C. (1989). Women's Education, Economic Activity and Fertility: Analytical Framework and a Conceptual Model. (Mimeograph). Bombay: International Institute for Population Sciences.
Bhargava, P.K., & Saxena, P.C. (1989). "Determinants of the Status of Women and Fertility in Greater Bombay", The Indian Journal of Social Work, 48(l): 71-81.
Bhargava, P.K., & Saxena, P.C. (1986). "Female Work Participation and Age at Marriage in an Urban Setting",. In K. Srinivasan and S. Mukerji (Eds.), Dynamics of Population and Family Welfare. Bombay: Hamalaya Publishing House.
El-Safety, M. (1993). "Situation of Families in Western Asia: The Arab Family in Transition - a Sociological Perspective", United, National African and Western Asia Preparatory Meeting for the International Year of the Family. Tunis.
Khlat, M. (1983). "Sex of Children and Family Size: a Decision Model", Mathematical Biosciences, 65, 171-185.
Ministry of Social Welfare (1996). Population and Housing Survey, Government of Lebanon, Beirut.
Moen, P. (1992). Women's Two Roles. USA: Auburn House.
Schwartz, N.F. (1993). Breaking with Tradition: Women and Work. The New Facts of Life. New York: Warner Books.
Standing, G. (1983). Women's Work Activity and Fertility. In R.A. Bulatao and R.D. Lee (Eds.). Determinants of Fertility in Developing Countries, New York: Academic Press.
Zurayk, H.K. (1977). "The Effect of Education of Women and Urbanization on Actual and Desired Fertility and Fertility Control in Lebanon", Population Bulletin No. 13, UN Economic Commission for Western Asia, pp. 32-41.