Population Research and Policy Review最新文献

Over the past few decades, interracial and interethnic marriages have increased significantly. The rise in intermarriages has been celebrated for their potential to reduce ethnoracial distinctions and ethnoracial inequality. Whether the increase in interracial and interethnic unions can reduce disparities in homeownership across ethnoracial groups is unknown. Using data on the 2008–2021 American Community Survey (ACS), we compare the homeownership rates of Millennials in intermarriages with those of couples in endogamous unions and identify the factors contributing to differences in homeownership rates between interracial and couples in ethnoracial endogamy. Our results show that the homeownership rates of interracial couples fall somewhere between those of endogamous couples belonging to the husband’s or wife’s ethnoracial groups. These differences emerge primarily due to variations in nativity composition, educational attainment, family income, average value of homes, and proportion of rentals. The intermediary homeownership rates of interracial couples suggest that the rise in intermarriages will reduce ethnoracial inequality in homeownership rates. Nonetheless, couples in marriages involving an ethnoracial minority spouse have lower homeownership rates than endogamous White couples. This White/non-White divide in homeownership rates highlights the need for a housing policy that enhances opportunities for homeownership among interracial and endogamous minority couples.

Not all U.S. populations have equal access to a primary care provider (PCP). This study presents one of the first population-based evidence of inequities in access to PCPs at the intersection of race/ethnicity, sexual orientation, and gender. We analyzed pooled data from the Behavioral Risk Factor Surveillance System from 2016 to 2021 across 42 states and 1 territory in the United States. The final sample encompassed 1,142,344 respondents aged 18 and older. Logistic regression models, stratified by gender spectrum, were estimated to compare predicted probabilities of having a PCP across 20 sexual and racial/ethnic identity groups. Among those on the feminine spectrum, most sexual minorities of color exhibited lower rates of having a PCP compared to heterosexual White individuals. Even when sociodemographic and health factors were accounted for, PCP access disadvantages remained significant in some groups of Native and Hispanic sexual minorities. Among sexual minorities of color on the masculine spectrum, inequities were less prominent, and sociodemographic and health factors nearly explained all their disadvantages. Sexual orientation, gender, and race/ethnicity intersect to shape the access to PCPs. Future research, policy designs, and clinical practices should adopt an intersectional approach to achieve a better understanding of healthcare inequities and to reduce inequities.

In multi-level and multi-layered foundations of gendered approaches for understanding the kinship system, family-building behavior, son preference, and male-skewed child sex ratios in India; patriarchy and patrilineality have received greater attention than patrilocality. To fill this gap, we construct a measure of patrilocality and hypothesize that households practice sex selection and daughter discrimination because of patrilocality norms that dictate the later life co-residence between parents and sons. Our findings reveal that the child sex ratio, sex ratio at birth, and sex ratio at last birth are negatively correlated with patrilocality rates across states and districts of India. The robustness of these findings is verified by using alternative definitions of patrilocality, examining the association between patrilocality and patrilineality, and assessing the relationship between patrilocality and child sex ratios across states and by urbanization levels. We conclude that, in the absence of strong social security measures and a lack of preference for old-age homes, amidst the accepted practice of patrilocality coupled with increasingly lower fertility norms, the dependency on sons will continue, leading to the continuation of sex selection in India.

In this study, we improve on the research results of relational models that enable life table estimates from a small number of demographic indices, such as the Log Quad Model by Wilmoth et al. (Popul Stud 66(1):1–28, 2012) and the Extended Log Quad Model 1 by Horiguchi (J Popul Stud 58:13–28, 2022). Consequently, we propose the Extended Log Quad Model 2. This is a mortality rate model that reflects the remarkable improvement in old-age mortality rates in Japan since the 1970s. This is intended for application to the estimation of municipal life tables in Japan. The Extended Log Quad Model 2 is useful for municipal policymaking because it is possible to estimate future life tables with a high level of accuracy by projecting only life expectancy at the age of 65. It is also suggested that the Extended Log Quad Model 2 will be applicable to other developed countries, such as Australia, Canada, France, and New Zealand.

We describe how the COVID-19 pandemic affected reproductive choices in New York City, the most acutely impacted area of the United States. We contrast changes in New York City with reproductive outcomes in the rest of the US. We find that births to New York City residents fell 8.4% more between March 2020 and February 2021 than would have been expected given trends before the pandemic. Births to US-born residents of New York City fell 5.5% over the same year, triple the decline in the rest of the US. Births to foreign-born New York City residents fell 11.4%, twice the decline in the rest of the US. Reported induced and spontaneous abortions to New York City residents fell precipitously whereas induced abortions nation-wide rose slightly. The acute downturn and robust recovery in New York City births maps closely with the spike in mortality and its rapid decline three months later.

Public policies use communication campaigns to affect individual behavior. We analyze how providing women with information on the beneficial effects of using formal childcare may affect their realized fertility. We argue that cues in the messages are particularly salient for mothers and women with fertility intensions, since they activate these women’s past memories. Hence, cues induce these women to create mental representations of future actions, such as realized fertility. We exploit a randomized survey experiment run in 2011, which provides information on the positive effects that attending daycare may have on the children’ future cognitive development. Using a follow-up survey run six-year later we show that the treatment increases realized fertility among mothers and women with declared fertility intentions, for whom the communication was more salient. Yet, the treatment did not affect the individual knowledge nor recall of the information provided in the message. Our results carry important policy implications: persuading individuals is difficult, but communication can be effective if salient.

Adverse childhood events (ACE) may have lasting consequences throughout the life course. We focus on one particular type of ACE, parental loss in Cambodia—a country that lost nearly 25% of its population during the 1975-79 Khmer-Rouge regime—and on mental health disorders, one of the potential mechanisms through which ACE may have long-term consequences. Self-reports of symptoms that map on to the Diagnostic and Statistical Manual of Mental Health Disorders (DSM) criteria for anxiety, depression, and post-traumatic stress disorder (PTSD) were collected from 4,405 adults aged 20 and over. We first assess exposure to traumatic events and the prevalence of anxiety, depression, and PTSD using the DSM and alternative criteria. Based on the DSM criteria and previously validated Likert-scale thresholds, we find a high prevalence of anxiety (56.0%), depression (42.8%), and PTSD (2.3%), and even higher levels even among KRR survivors. We then use logit models to analyze the effect of parental loss before age 20 on the likelihood of having experienced traumatic events and experiencing mental health disorders. We find the loss of one parent increases the likelihood of full-PTSD symptoms, but the loss of both parents does not. These findings may result from positive selection into better-off households for orphans whose parents have both died but may also reflect the grief-related difficulties faced by the surviving parent of paternal or maternal orphans. While alternative thresholds for PTSD produced higher prevalence estimates, these measures did not perform better for assessing the effect of parental loss on mental health.

Previous research on the relationship between geographical distance and the frequency of contact between family members has shown that the strength of family ties differs between Northern and Southern Europe. However, little is known about how family ties are reflected in peoples’ conversations on social media, despite research showing the relevance of social media data for understanding users’ daily expressions of emotions and thoughts based on their immediate experiences. This work investigates the question of whether Twitter use patterns in Europe mirror the North–South divide in the strength of family ties by analyzing potential differences in family-related tweets between users in Northern and Southern European countries. This study relies on a longitudinal database derived from Twitter collected between January 2012 and December 2016. We perform a comparative analysis of Southern and Northern European users’ tweets using Bayesian generalized multilevel models together with the Linguistic Inquiry and Word Count software. We analyze the association between regional differences in the strength of family ties and patterns of tweeting about family. Results show that the North–South divide is reflected in the frequency of tweets that are about family, that refer to family in the past versus in the present tense, and that are about close versus extended family.

Research has linked individual estimations of the size of the foreign-born population to attitudes about immigration. However, most studies focus on the accuracy of estimations rather than on perceptions of group size, even though perceptions on their own are an important predictor of attitudes. Studies examining the determinants of the perceptions of foreign-born population size emphasize individual-level factors and overlook the role of national-level contexts, such as policy changes. Changes in multicultural policies may contribute to various cognitive biases that inform how individuals perceive the size of the foreign-born population. In this study, we examine the association between changes in multiculturalist policies and individuals’ quantitative perceptions of the foreign-born population size in 14 European countries, using the 2002 and 2014 waves of data from the European Social Survey (ESS). Results from fixed effects models show a positive association between multicultural policies and estimates of the foreign-born population, net of individual-level measures and the actual size of the foreign-born population.

While research has found that aggregate levels of family wealth grew during the COVID-19 pandemic across sociodemographic groups, we know less about heterogeneity in wealth accumulation during the pandemic within these groups. Using linked household data from the 2019 and 2021 waves of the Panel Study of Income Dynamics (N = 6282), we examine a key measure of wealth accumulation: absolute upward wealth mobility, defined as having more wealth in 2021 than 2019. Conditional on other characteristics, we find that college-educated, homeowning, and younger families were substantially more likely to see increases in wealth between 2019 and 2021, while Black, lower-income, older, and cohabiting and single-female families were much less likely to experience upward wealth mobility. We also find that families with workers who were deemed essential or only worked from home during the pandemic were more likely to experience upward wealth mobility. Our findings reveal inequalities in whether families benefitted from the social and economic trends that boosted household wealth during the pandemic.