The gender wage gap consistently declined between 2004 and 2011. However, the gap remains large, with women earning 45 percent less than men in 2011. The reduction in the gender wage gap between 2004 and 2007, and the switch from a glass-ceiling shape for the gender gap distribution to a sticky-floor shape, was driven by the rising returns in the state sector for men at the bottom, and by women at the top of the wage distribution. Between 2009 and 2011, the decline in the gender wage gap can be explained by the decrease in men’s working hours, which was larger than the decrease in women’s working hours. We assess the robustness of our findings using the statistical matching decomposition method developed in Ñopo (2008) in order to address the possibility that the high degree of industrial segregation may bias our results. The Ñopo decomposition results enrich our understanding of the factors that underlie the gender wage gap but do not alter our key findings, and in fact support their robustness.
This paper is part of the World Bank's gender assessment program in the South Caucasus.
This paper uses data from the 1993–2001 March Current Population Survey to estimate the extent to which child living arrangements, parental work patterns, and immigration attributes shape racial and ethnic variation in child poverty. Results from multivariate analyses and a standardization technique reveal that parental work patterns as well as child living arrangements are especially consequential for black and Puerto-Rican economic circumstances. Child immigration generation and parental length of residence seem to play a detrimental role in shaping poverty among Asian, Mexican, and Central/South American children. We also found that the extent to which differences in the composition of and returns to parental resources determine white-minority economic gaps varies substantially across racial and ethnic lines. The social and economic implications of the findings for understanding racial and ethnic inequality are discussed in the final section of the article.
The US economic crisis and recession of 2007–09 accelerated the convergence of women’s and men’s employment rates as men experienced disproportionate job losses and women’s entry into the labor force gathered pace. Using the American Time Use Survey (ATUS) data for 2003–10, this study examines whether the narrowing gap in paid work over this period was mirrored in unpaid work, personal care, and leisure time. We find that the gender gap in unpaid work followed a U-pattern, narrowing during the recession but widening afterward. Through segregation analysis, we trace this U-pattern to the slow erosion of gender segregation in housework and, through a standard decomposition analysis of time use by employment status, show that this pattern was mainly driven by movement toward gender-equitable unpaid hours of women and men with the same employment status. In addition, gender inequality in leisure time increased over the business cycle.
Immigration is having an increasingly important effect on the social insurance system in the United States. On the one hand, eligible legal immigrants have the right to eventually receive pension benefits but also rely on other aspects of the social insurance system such as health care, disability, unemployment insurance, and welfare programs, while most of their savings have direct positive effects on the domestic economy. On the other hand, most undocumented immigrants contribute to the system through taxed wages but are not eligible for these programs unless they attain legal status, and a large proportion of their savings translates into remittances that have no direct effects on the domestic economy. Moreover, a significant percentage of immigrants migrate back to their countries of origin after a relatively short period of time, and their savings while in the United States are predominantly in the form of remittances. Therefore, any analysis that tries to understand the impact of immigrant workers on the overall system has to take into account the decisions and events these individuals face throughout their lives, as well as the use of the government programs they are entitled to. We propose a life-cycle Overlapping Generations (OLG) model in a general equilibrium framework of legal and undocumented immigrants’ decisions regarding consumption, savings, labor supply, and program participation to analyze their role in the financial sustainability of the system. Our analysis of the effects of potential policy changes, such as giving some undocumented immigrants legal status, shows increases in capital stock, output, consumption, labor productivity, and overall welfare. The effects are relatively small in percentage terms but considerable given the size of our economy.
This paper studies the effects of an (exogenous) increase of nominal wages on profits, output, and growth. Inspired by an article by Kalecki (1991), who concentrated on the effects on total profits, the paper develops a model that explicitly considers the dynamics of demand, prices, profits, and investment. The outcomes of the initial wage rise are found to be path dependent and crucially affected by the firms’ initial response to an increase in demand and a decrease in profit margins. The present model, which relates to other Post Keynesian/Kaleckian contributions, can offer an alternative to the mainstream approach to analyzing the effects of wage increases.
Will (2000)” Lies, Damned lies and …..” claims that the main cause of wage gap is omen’s decision to establish a family, so that force them to make comprise for raising their children and that leads them to work in flexible jobs with flexible ours that permit them to enter the fast track.....
If you wonder how such a large gap could develop, the proximate, or most immediate, factor involves the way in which CEOs now are able to rig things so that the board of directors, which they help select -- and which includes some fellow CEOs on whose boards they sit -- gives them the pay they want. The trick is in hiring outside experts, called "compensation consultants," who give the process a thin veneer of economic respectability.
If hiring a consulting firm doesn't do the trick as far as raising CEO pay, then it may be possible for the CEO to have the board change the way in which the success of the company is determined. For example, Walmart Stores, Inc. used to link the CEO's salary to sales figures at established stores. But when declining sales no longer led to big pay raises, the board simply changed the magic formula to use total companywide sales instead. By that measure, the CEO could still receive a pay hike (Morgenson, 2011).
In her article entitled “A New Campaign for Pay Equity,” liberal columnist Ellen Goodman outlines the problem concerning the wage gap between men and women.
By describing the present position of the wage gap, Goodman points out that there are things being done by the government for the wage gap, which include enforcing the laws that are in existence and suggesting that jobs of equal value be paid equal wages....
This paper examines the aggregate and gender employment impact of expanding the early childhood care and preschool education (ECCPE) sector in Turkey and compares it to the expansion of the construction sector. The authors’ methodology combines input-output analysis with a statistical microsimulation approach. Their findings suggest that the expansion of the ECCPE sector creates more jobs and does so in a more gender-equitable way than an expansion of the construction sector. In particular, it narrows the gender employment and earnings gaps, generates more decent jobs, and achieves greater short-run fiscal sustainability.
We describe the production of estimates of the Levy Institute Measure of Time and Income Poverty (LIMTIP) for Buenos Aires, Argentina, and use it to analyze the incidence of time and income poverty. We find high numbers of hidden poor—those who are not poor according to the official measure but are found to be poor when using our time-adjusted poverty line. Large time deficits for those living just above the official poverty line are the reason for this hidden poverty. Time deficits are unevenly distributed by employment status, family type, and especially gender. Simulations of the impact of full-time employment on those households with nonworking (for pay) adults indicate that reductions in income poverty can be achieved, but at the cost of increased time poverty. Policy interventions that address the lack of both income and time are discussed.
Against the backdrop of the 2030 UN Agenda for Sustainable Development, this paper analyzes the measurement issues in gender-based indices constructed by the United Nations Development Programme (UNDP) and suggests alternatives for choice of variables, functional form, and weights. While the UNDP Gender Inequality Index (GII) conceptually reflects the loss in achievement due to inequality between men and women in three dimensions—health, empowerment, and labor force participation—we argue that the assumptions and the choice of variables to capture these dimensions remain inadequate and erroneous, resulting in only the partial capture of gender inequalities. Since the dimensions used for the GII are different from those in the UNDP’s Human Development Index (HDI), we cannot say that a higher value in the GII represents a loss in the HDI due to gender inequalities. The technical obscurity remains how to interpret GII by combining women-specific indicators with indicators that are disaggregated for both men and women. The GII is a partial construct, as it does not capture many significant dimensions of gender inequality. Though this requires a data revolution, we tried to reconstruct the GII in the context of Asia-Pacific using three scenarios: (1) improving the set of variables incorporating unpaid care work, pay gaps, intrahousehold decision making, exposure to knowledge networks, and feminization of governance at local levels; (2) constructing a decomposed index to specify the direction of gender gaps; and (3) compiling an alternative index using Principal Components Index for assigning weights. The choice of countries under the three scenarios is constrained by data paucity. The results reveal that the UNDP GII overestimates the gap between the two genders, and that using women-specific indicators leads to a fallacious estimation of gender inequality. The estimates are illustrative. The implication of the results broadly suggests a return to the UNDP Gender Development Index for capturing gender development, with an improvised set of choices and variables.