Long-Term Earnings Differentials Between African American and White Men by Educational Level

This paper investigates long-term earnings differentials between African American and white men using data that match respondents in the Survey of Income and Program Participation to 30 years of their longitudinal earnings as recorded by the Social Security Administration. Given changing labor market conditions over three decades, we focus on how racial differentials vary by educational level because the latter has important and persistent effects on labor market outcomes over the course of an entire work career. The results show that the long-term earnings of African American men are more disadvantaged at lower levels of educational attainment. Controlling for demographic characteristics, work disability, and various indicators of educational achievement does not explain the lower long-term earnings of less-educated black men in comparison to less-educated white men. The interaction arises because black men without a high school degree have a larger number of years of zero earnings during their work careers. Other results show that this racial interaction by educational level is not apparent in cross-sectional data which do not provide information on the accumulation of zero earnings over the course of 30 years. We interpret these findings as indicating that compared to either less-educated white men or highly educated black men, the long-term earnings of less-educated African American men are likely to be more negatively affected by the consequences of residential and economic segregation, unemployment, being out of the labor force, activities in the informal economy, incarceration, and poorer health.     

Marital dissolution,remarriage, and childbearing

Earlier models of fertility hypothesize that marital dissolution and remarriage influence subsequent childbearing. This issue is examined by comparing the fertility of those in disrupted marriages with that of those in stable marriages. The results indicate that, by transferring women into a nonmarried status, marital dissolution decreases childbearing. The data also suggest that discord reduces fertility even before separation occurs—separated women had reduced fertility during the two years just before separation. It was found that marital dissolution without remarriage operates to truncate childbearing, thus decreasing family size. Dissolution followed by remarriage, however, lengthens the childbearing span of whites and has no influence on average family size; remarrying white women are able to make up for the childbearing lost between marriages. For nonwhites, we found that dissolution and remarriage increase the average time to childbirth, but, even more importantly, these events greatly decrease the number of children born.     

Employment gains and wage declines: The erosion of black women’s relative wages since 1980

Public policy initiatives in the 1950s and 1960s, including Affirmative Action and Equal Employment Opportunity law, helped mitigate explicit discrimination in pay, and the expansion of higher education and training programs have advanced the employment fortunes of many American women. By the early 1980s, some scholars proclaimed near equity in pay between black and white women, particularly among young and highly skilled workers. More recent policy initiatives and labor market conditions have been arguably less progressive for black women’s employment and earnings: through the 1980s, 1990s, and the first half of the 2000s, the wage gap between black and white women widened considerably. Using data from the Current Population Survey Merged Outgoing Rotation Group (CPS-MORG), this article documents the racial wage gap among women in the United States from 1979 to 2005. We investigate how demographic and labor market conditions influence employment and wage inequality among black and white women over the period. Although shifts in labor supply influence the magnitude of the black-white wage gap among women, structural disadvantages faced by black women help explain the growth in the racial wage gap.     

Subnational Non-Hispanic White Natural Decrease in the United States

This research is the first to examine the prevalence and dynamics of non-Hispanic white natural decrease in fine scale subregional units of the United States. In 2015, more non-Hispanic Whites died than were born in 65 percent of the US counties. This is the highest incidence of non-Hispanic white natural decrease ever reported. It results from a complex interaction among fertility, mortality, and migration over a protracted period. Spatial regression is used to identify three critical variables (over-65 population, child–women ratio, and women of childbearing age) that are the immediate demographic causes of this natural decrease. The timely, factual information in this paper provides a demographic context for analysis of the social, political, and policy implications of this emergent demographic phenomenon.     

Asian-born scientists and engineers: their immigration flow and labor market adjustment

"This paper examines the flow of Asian-born scientists and engineers and their labor market adjustment. First, main elements to affect their immigration flow are described: supply, demand, and institution....The scarcity of domestic workers is the most important factor affecting demand of immigration. Institution, such as immigration policies, is another element to influence the immigration flow....Second, by using the 1980 U.S. Census data set, their labor market adjustment is explored in terms of hourly wages. Compared to the native-born white, there is no evidence that Asian-born scientists and engineers receive lower wages or lower return on human capital."     

The Use of Own-Child Checks to Determine Remarriage Status

The 1900 Federal Census of the United States did not ask currently-married women whether they had been married previously. This note uses the direct report on remarriage in the 1910 census to evaluate the performance of the "own-child checks" that several researchers have used with the 1900 census to substitute for direct information on remarriage. Accurate information on remarriage status is important for fertility and mortality estimation methods that rely on marital duration. The checks detect fewer than two-thirds of wives who report they are remarried. The use of these checks, however, does not introduce large amounts of error in an analysis of either fertility or mortality. The checks work better for white women than for black women.     

Intergenerational Neighborhood Attainment and the Legacy of Racial Residential Segregation: A Causal Mediation Analysis

Advances in mediation analysis are used to examine the legacy effects of racial residential segregation in the United States on neighborhood attainments across two familial generations. The legacy effects of segregation are anticipated to operate through two primary pathways: a neighborhood effects pathway and an urban continuity pathway. The neighborhood effects pathway explains why parent’s exposure to racial residential segregation during their family-rearing years can influence the residential outcomes of their children later in life. The urban continuity pathway captures the temporal consistency of the built and topographical environment in providing similar residential opportunities across generations. Findings from the Panel Study of Income Dynamics and U.S. Census data indicate that the legacy effect of racial residential segregation among black families operates primarily through the neighborhood effects that influence children growing up. For white families, there is less support for the legacy effects of segregation. The findings are supported by a comprehensive mediation analysis that provides a formal sensitivity analysis, deploys an instrumental variable, and assesses effect heterogeneity. Knowledge of the legacy of segregation moves neighborhood attainment research beyond point-in-time studies of racial residential segregation to provide a deeper understanding into the ways stratified residential environments are reproduced.     

Kyne–Donner Model of Authority’s Recommendation and Hurricane Evacuation Decisions: A Study of Hypothetical Hurricane Event in the Rio Grande Valley,Texas

Many previous studies identified factors influencing hurricane evacuation decisions by testing the protective action decision model (PADM). This study further examines factors that affect the trust in authority’s recommendation and evacuation decision-making in a proposed Kyne–Donner Model. The model provides an understanding of the predictive factors influencing evacuation decision-making through the mediating factor of trust in authority’s recommendation. This study takes advantage of the structural equation modeling method to simultaneously test multi-stages of the model. There are factors, namely, age, gender, education, household size, decision maker, risk area, house materials, hurricane evacuation experience, information seeking frequency, information seeking behavior, and information sources which influence trust in authority’s recommendation which, together with hurricane evacuation impediments, influence the hurricane evacuation decision. The study’s findings are consistent with the PADM and demonstrate the importance of trust in authority’s recommendation and hurricane evacuation decision-making.     

Methods for combining ancillary data in stochastic compartment models of cancer mortality: Generalization of heterogeneity models∗

In analyzing mortality data there may be available information from survey and other sources that describe the marginal distribution of risk factors. We present a mortality model where nationally representative survey data on risk factor distributions are combined with data on cohort mortality rates to increase information, i.e., a fixed marginal risk factor distribution is combined with a cohort model representing unobserved individual risk heterogeneity. The model is applied to lung cancer mortality in nine U.S. white male cohorts aged 30 to 70 in 1950 and followed 38 years. Estimates of the cohort specific proportions of smokers were made from the National Health Interview Survey. Comparisons are made for models with different patterns of changes with age of individual heterogeneity.     

信息人力资本对农民工城市融合的影响：机理与实证①--以辽宁省农民工为例

本文基于2014年辽宁6县市农民工调查数据,运用 OLS 回归方法,实证分析了信息人力资本对农民工城市融合及其三个层面———经济融合、社会融合、心理融合的影响。结果发现,信息人力资本对农民工城市融合有正向显著的影响,对经济层面、社会层面的融合有显著的正向影响,对心理层面的融合影响不显著。此外,运用分位数回归方法分析了不同城市融合程度下,信息人力资本对城市融合的影响差异,发现在城市融合程度较低时,通过增加信息人力资本可以显著促进农民工城市融合。并运用结构方程模型进行稳健性检验,所得结果与 OLS 回归相吻合。相应的政策建议：为促进农民工城市融合,应该根据不同人群特点,有针对性地加强农民工信息人力资本培训,提高他们信息人力资本水平。     

Adolescent sexual activity in the family context: The impact of older siblings

Using approximately 2,000 sibling pairs from the National Longitudinal Survey of Labor Market Experience of Youth, we examine the influence of an older sibling's age at first sexual intercourse on the sexual initiation of a younger sibling. Hypotheses about differences by gender composition of the pair are tested, using a framework derived from social comparison theory and a two-stage failure-time model. Results provide evidence of a direct but modest-sized older sibling effect for white but not black youth. This effect is approximately equal in magnitude for same- and opposite-sex siblings. Little support is offered for the greater salience and association of sexual activity for brother-brother as compared with sister-sister pairs.     

Methods for combining ancillary data in stochastic compartment models of cancer mortality: generalization of heterogeneity models

"We present a mortality model where nationally representative survey data on risk factor distributions are combined with data on cohort mortality rates to increase information, i.e., a fixed marginal risk factor distribution is combined with a cohort model representing unobserved individual risk heterogeneity. The model is applied to lung cancer mortality in nine U.S. white male cohorts aged 30 to 70 in 1950 and followed 38 years. Estimates of the cohort specific proportions of smokers were made from the National Health Interview Survey. Comparisons are made for models with different patterns of changes with age of individual heterogeneity." (SUMMARY IN FRE)     

Post-disaster fertility: Hurricane Katrina and the changing racial composition of New Orleans

Large-scale climate events can have enduring effects on population size and composition. Natural disasters affect population fertility through multiple mechanisms, including displacement, demand for children, and reproductive care access. Fertility effects, in turn, influence the size and composition of new birth cohorts, extending the reach of climate events across generations. We study these processes in New Orleans during the decade spanning Hurricane Katrina. We combine census data, ACS data, and vital statistics data to describe fertility in New Orleans and seven comparison cities. Following Katrina, displacement contributed to a 30% decline in birth cohort size. Black fertility fell, and remained 4% below expected values through 2010. By contrast, white fertility increased by 5%. The largest share of births now occurs to white women. These fertility differences—beyond migration-driven population change—generate additional pressure on the renewal of New Orleans as a city in which the black population is substantially smaller in the disaster’s wake.     

The living arrangements of unmarried elderly hispanic females

In this paper we examine the influence of cultural preferences on living arrangements for a sample of older unmarried Hispanic and non-Hispanic white females. We develop a conceptual framework composed of three sets of factors: availability of kin, economic and health feasibility, and cultural desirability. Our analyses show that household living arrangements among Hispanic and non-Hispanic females are more similar when we control for these three sets of factors, and that cultural desirability factors are particularly important. The likelihood that elderly Hispanic females will reside in an institution is actually decreased, however, when we control for these factors; this finding suggests a strong reluctance among Hispanics to use formal long-term care facilities.     

Gender and the Neighborhood Location of Mixed-Race Couples

Gender asymmetry in mixed-race heterosexual partnerships and marriages is common. For instance, black men marry or partner with white women at a far higher rate than white men marry or partner with black women. This article asks if such gender asymmetries relate to the racial character of the neighborhoods in which households headed by mixed-race couples live. Gendered power imbalances within households generally play into decisions about where to live or where to move (i.e., men typically benefit more than women), and we find the same in mixed-race couple arrangements and residential attainment. Gender interacts with race to produce a measurable race-by-gender effect. Specifically, we report a positive relationship between the percentage white in a neighborhood and the presence of households headed by mixed-race couples with a white male partner. The opposite holds for households headed by white-blacks and white-Latinos if the female partner is white; they are drawn to predominantly nonwhite neighborhoods. The results have implications for investigations of residential location attainment, neighborhood segregation analysis, and mixed-race studies.     

Racializing white drag

While drag is primarily understood as a performance of gender, other performative categories such as race, class, and sexuality create drag meaning as well. Though other categories of identification are increasingly understood as essential elements of drag by performers of color, whiteness remains an unmarked category in the scholarship on drag performances by white queens. In this paper, I argue that drag by white queens must be understood as a performance of race as well as gender and that codes of gender excess are specifically constructed through the framework of these other axes of identity. This essay asks whether white performance by white queens necessarily reinscribes white supremacy through the performance of an unmarked white femininity, or might drag performance complicate (though not necessarily subvert) categories of race as well as gender? In this essay, I will suggest that camp drag performances, through the deployment of class as a crucial category of performative femininity, might indeed be a key site through which whiteness is denaturalized and its power challenged. Specifically, I will read on camp as a politicized mode of race, class and gender performance, focusing on the intersections of these categories of identity in the drag performance of Divine.     

Entry into marriage and parenthood by young men and women: The influence of family background

We investigate the influence of family background on early entry into marriage and parenthood among white, Hispanic, and black men and women ages 14 to 22 in the first (1979) wave of the National Longitudinal Survey of Youth. Family background is highly associated with early entry into marriage for whites of both genders and female Hispanics and also with early entry into parenthood for all groups except black males. Large group differences in family characteristics explain most of the difference between white and Hispanic women in early marriage and parenthood and about half the difference in early parenthood between black and white women but do not explain the observed variations among other race-gender groups.     

Gender and the Residential Mobility and Neighborhood Attainment of Black-White Couples

Including black-white couples in the study of residential stratification accentuates gendered power disparities within couples that favor men over women, which allows for the analysis of whether the race of male partners in black-white couples is associated with the racial and ethnic composition of their neighborhoods. I investigate this by combining longitudinal data between 1985 and 2015 from the Panel Study of Income Dynamics linked to neighborhood- and metropolitan-level data compiled from four censuses. Using these data, I assess the mobility of black male–white female and white male–black female couples out of and into neighborhoods defined respectively by their levels of whites, blacks, and ethnoracial diversity. My results show that the race of the male partner in black-white couples tends to align with the racial and ethnic composition of the neighborhoods where these couples reside. This finding highlights that the racial hierarchy within the United States affects the residential mobility and attainment of black-white couples, but its influence is conditioned by the race and gender composition of these couples.     

If happiness is relative, against whom do we compare ourselves? Implications for labour supply

This paper addresses two important issues: the nature of the reference group to which individuals compare themselves, and the implications of social comparisons for labour supply. It identifies age as the main characteristic defining the reference group. Race, sex and religion are other relevant features in its determination. It provides micro-level evidence that social comparisons influence the hours an individual works. Specifically, if her income is lower than her reference group income, she will work more. It also shows that for males, white people and people living in rural areas the effect of relative income on both happiness and labour supply is greater.     

Bayesian Estimation of Age-Specific Mortality and Life Expectancy for Small Areas With Defective Vital Records

High sampling variability complicates estimation of demographic rates in small areas. In addition, many countries have imperfect vital registration systems, with coverage quality that varies significantly between regions. We develop a Bayesian regression model for small-area mortality schedules that simultaneously addresses the problems of small local samples and underreporting of deaths. We combine a relational model for mortality schedules with probabilistic prior information on death registration coverage derived from demographic estimation techniques, such as Death Distribution Methods, and from field audits by public health experts. We test the model on small-area data from Brazil. Incorporating external estimates of vital registration coverage though priors improves small-area mortality estimates by accounting for underregistration and automatically producing measures of uncertainty. Bayesian estimates show that when mortality levels in small areas are compared, noise often dominates signal. Differences in local point estimates of life expectancy are often small relative to uncertainty, even for relatively large areas in a populous country like Brazil.