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What is the economic cost of motherhood?

Darwin Hunt

Overview:


One century ago, in 1907, there would have been little evidence of the economic cost of motherhood. Women got married and had kids. "Employment" for women was raising the children on a daily basis. At least in the United States, that is what the majority of the population was doing, with little variance. But as our society has evolved, and equality prevailed, men and women of every different race compete in the same market for the same jobs (…however, as our society has changed, our biology has not, and women are still the ones having kids). In this paper I will explore how maternity affects women in the labor market. I will be observing and comparing the economic cost of motherhood in the United States and in Brittan. Specifically, I will look at the differences in labor market conditions for men versus women and mothers versus non-mothers.

Women and the U.S. Labor Market


For the United States labor market, I will discuss the effects of motherhood has when comparing women against men (the "gender" gap) and mothers against non-mothers (the "family" gap). Historically, women's actions in the labor market have reflected the tradeoff between fertility decisions and employment decisions. Logically, the fertility/employment tradeoff women face is a decision that does not drive male's behavior in the labor market. In general terms, the chance of a male moving into non-employment during their first year in the labor market is 38%, as compared to 42% for females. In terms of the long run, 80% of female interruptions are related to family as compared to 1% of male interruptions being related to family. Furthermore, females with young children have lower employment rates than females without children, 45% and 66% respectively (Erosa et. al., 2002). When individuals enter the labor market, employment rates are pretty universal regardless of family status or gender. However, the female employment rate increases with age at a much slower pace than the male employment rate due to the women leaving the labor market for fertility decisions. At thirty years old, the female employment rate is approximately 14 percent lower than males. A large gender employment rate gap exists until around 45 years of age.


An individual in the labor market can be seen as accumulating two forms of capital: general (on-the-job experience) and specific (tenure). When an individual leaves the labor market for an extended period of time, they lose their tenure capital but retain their general capital. If you were to imagine a corporation, the high level managers have accumulated human capital as knowing the general operations of business but also in a specific form, as establishing relationships with co-workers and business partners. If a manager leaves the corporation for a few years and then returns, he/she will still know the general operations of the business, but it is likely that the personal relationships and credibility will no longer be valid, as personnel changes within the firm and for clients. This becomes significant in terms of this discussion when considering how a woman is affected by leaving the labor market to become a mother. Statistically, non-mothers have higher wages in the labor market then mothers. One explanation of the family wage gap is that when a mother interrupts her career, she loses her established tenure capital, which in turn creates the wage gap between mothers and non-mothers. However, more recent studies have shown that females that are willing to accept the opportunity cost of motherhood are most often from the class of individuals with low tenure capital. In one model, tenure capital explains only 2.8% of the gender gap and 7.3% of the family gap (Erosa et. al., 2002). Most of the differences in the gender and family wage gap were explained by exogenous factors. In this case, the effect associated with fertility is not nearly as significant as originally believed and tenure capital plays a much smaller role in explaining the wage gap.


What is the role of education in the wage gap? And is there a "marginal cost" associated with having more children versus fewer children? Level of education is a general indicator for job quality and subsequent wage level. As a whole, mothers with one child have wages 16% lower than non-mothers and mothers of two or more kids have wages 29% lower. Studies show that there is no family wage gap between white mothers and non-mothers without a high school diploma. However, as education levels increase, so does the opportunity cost of motherhood. White mothers with high school diplomas earn, on average, 10% less per child than non-mothers with high school diplomas. Mothers of more than one child with a college education suffer a 15% lower wage than non-mothers with a college diploma. Interestingly, mothers of one child with a college education only suffer a 4% penalty as compared to non-mothers (Anderson et. al. 2002). This suggests that as each additional child requires more attention and energy, productivity decreases with each additional child (in the eyes of the labor market). Overall, we can see that the opportunity cost of motherhood isn't even a factor at low skill labor (reflecting no high-school education). The opportunity cost of motherhood is increasingly real as job skill increases, as reflected by the level of education.


In conclusion, with respect to the U.S. labor market, motherhood is a real factor that has a significant effect on wages and overall level of employment. Though it is plausible that tenure capital is a factor in the wage and employment gap between sexes and mothers/non-mothers, it does not play a very significant role. There seems to be a marginal cost for having one child versus more than one child that affects wages. And lastly, the opportunity cost of motherhood is positively correlated with the skill level of labor, as measured by education.


Women and the British Labor Market


It is interesting to compare the differences in the role of motherhood in the American economy versus the British economy, as it is essentially the same entity (I mean, I assume everything works the same over there as it does over here) in a different framework. In the following section I will discuss how motherhood plays a role in the labor market of Britain. Specifically, factors such as: the role of education in the wage gap, the timing of fertility decisions in the labor market, the "quality" of children of a working mother.


There is a 39% gap between the wages of 33-year old mothers and non-mothers in Britain, which can be sufficiently explained by three factors: lower specific human capital, part-time versus full-time, lower education levels (Joshi, 2002). As mentioned in the section on the United States, specific human capital does play a role in determining the wages of an individual, and it seems to be more significant in terms of determining the wages of British women. There is also the fact that women trying to balance work and motherhood often opt for part-time work, which plays into them having lower wages as compared to non-mothers. And again, as we saw with the United States, education plays a role in the wages of working mothers. However, the role of education is reversed in Britain. In the U.S., higher education meant higher opportunity cost for motherhood as reflected in forgone wages. In contrast, British mothers with higher levels of education actually earned wages significantly closer to the wages of non-mothers as compared with lower levels of education. At no education, British mothers experience huge losses compared to non-mothers. This occurs mostly because with no education, implying a low-skill job, there is no maternity leave and mothers tend to take longer periods to return to work than those at higher levels. Therefore, mothers are out of the labor market for a given period of time and lose all their accumulated specific human capital. When they return, their wages are significantly lower than the non-mothers who have stayed in the labor force all the while. It is important to note that in the British data there is a marginal cost for each additional child, as we saw in the U.S. data. However, for Britain, that cost is more significant for low education levels as compared to high education levels. When mothers have college degrees, the disparity between the wages of a mother versus a non-mother are minimal. The initial year after a birth, during a period of paid leave or part-time employment generally result in a lower wage, however, when mothers return to full time employment, their wages are essentially the same as non-mothers. Other important factors are that women with higher education wait longer until they have children (generally around 30 as compared to 23) and the time out of the workforce is shorter, as they can afford reliable childcare. Though it has yet to be proven, this illustrates the idea that higher earning power enables the purchase of childcare and may have a positive effect on family size; refuting the hypothesis that women's employment will have a negative effect on fertility.


Given the relationship that in Britian, education facilitates employment and possibly fertility, the next step is to see if there is any relationship between working mothers and the quality of their children. One may assume that a working mother spends less time with her child, which in turn has a negative effect on her child's welfare. This suggests that mothers with higher education would have lower quality children. However, another hypothesis argues that, on average, education improves the productivity of a person in both their paid and unpaid activates; suggesting a positive relationship between mother education and child quality. One study (Joshi, 2002) looked at the relationship between a mother's level of education and their child's level of education. For British families, an increase in the mother's level of education resulted in a smarter child (measured in terms of basic reading and math) and less aggressive behavior (regarded as a positive personality trait; i.e. less prone to violence). There is probably some significant level of this being related to genetics and the inherent ability of the mother being passed to her children. They also observed the effects of working mother's on the educational and social development of their children. On average, the math scores and level of non-anxious behavior increased for the children of working mothers, from the ages of 1 to 5. Ultimately, there is no conclusive evidence that an employed mother has negative effects on the child.


In conclusion, British women with high levels of education have the smallest loss of earnings at motherhood. However, higher levels of education often mean that a woman is more likely to postpone or even avoid motherhood. This is the opposite of the observed relationship between motherhood and wages in the United States. In addition, there are no conclusive adverse effects on the children of working mothers as opposed to unemployed mothers. It is important to consider, however, that increased household wages by a mother allows for fathers to spend more time with children. Also, just because mothers are working, does not mean they are spending any less time with their children, as the kids may be involved with activities (i.e. day care or preschool). Both of these factors further our understanding that there is no one-to-one tradeoff between motherhood and child quality.

Bibliography


Anderson, Deborah J.; Binder, Melissa; Krause, Kate (2002), "The Motherhood Wage Penalty: Which Mothers Pay It and Why?", American Economic Review v92, n2 (May 2002): 354-358.


Erosa, Andres; Fuster, Luisa; Restuccia, Diego (2002), "Fertility Decisions and Gender Differences in Labor Turnover, Employment, and Wages", Review of Economic Dynamics v5, n4 (October 2002): 856-91.


Gupta, Datta Nabanita; Smith, Nina (2002), "Children and Career Interruptions: The Family Gap in Denmark", Economica v69, n276 (November 2002): 609-629.


Joshi, Heather (2002), "Production, Reproduction, and Education: Women, Children, and Work in a British Perspective", Population and Development Review v28, n3 (September 2002): 445-74