Ethnic Differences in Financial Outcomes Among Low-Income Older Asian Immigrants: A Financial Capability Perspective

ABSTRACT

This exploratory study examined ethnic differences in financial outcomes among low-income older Asian immigrants from a financial capability perspective. We used survey data collected from a convenience sample of Chinese, Korean, and “Other Asian” ethnic participants in a subsidized employment program (n = 159). We ran logit regressions of dichotomous financial outcomes. Regression analysis showed significant ethnic differences in some financial outcomes after controlling for financial capability and other factors. Findings did not support our hypothesis that financial capability explains ethnic differences in financial outcomes. Findings suggest the need to develop culturally suitable financial capability measures for future research.     

Immigration and Economic Conditions Among Older Asian Americans

This study compares native-immigrant gaps in economic conditions among older Asian Americans to those in other racial groups. This study uses the American Community Survey data collected from 2006 to 2010. The sample consists of Asians, whites, blacks, and Hispanics, who are 65 years old or older (N = 2,205,148). The dependent variables are per capita income, poverty, asset income, homeownership, and vehicle ownership. This study employs linear and logit regressions. Analysis results show that older native Asian Americans’ economic statuses are comparable to or better than older native whites. Older immigrant Asian Americans’ economic situations are worse off than older immigrant whites but better off than their black and Hispanic counterparts. Regression analyses indicate that native-immigrant gaps among older Asian Americans are significantly larger than those among other racial groups. These findings suggest that the public perception of economically successful immigrant Asians is not consistent with the economic reality of older immigrant Asian Americans. Analysis results call for further research on native-immigrant gaps among older Asian Americans and policy interventions to enhance economic security among older minority groups, including older immigrant Asian Americans.     

Maximal inequalities and strong law of large numbers for sequences of m-asymptotically almost negatively associated random variables

In this paper, we establish some inequalities for maximum of partial sums of m-asymptotically almost negatively associated random variables. With the help of these inequalities we prove some strong law of large numbers.     

Adult mortality differentials associated with cigarette smoking in the USA

Although cigarette smoking has been extensively researched, surprising little knowledge has been produced by demographers using demographic perspectives and techniques. Thus, this paper contributes to the literature by extending a demographic framework to an important behavior for mortality research: cigarette smoking. In earlier works, the authors used nationally-representative data to show that cause of death patterns varied by smoking status and that multiple causes of death characterized smokers moreso than non-smokers. The present work extends previous analysis by estimating smoking status mortality differentials by underlying and multiple causes of death and by age and sex. Data from the 1986 National Mortality Followback Survey are related to data from the 1985 and 1987 National Health Interview Survey supplements to assess the smoking-related mortality differentials. We find that cigarette smoking is associated with higher mortality for all population categories studied, that the smoking mortality differentials vary across the different smoking status categories and by demographic group, and that the mortality differentials vary according to whether underlying cause or multiple cause patterns of death are examined. Moreover, the multiple cause analysis highlights otherwise obscured smoking-mortality relations and points to the importance of respiratory diseases and cancers other than lung cancer for cigarette smoking research.     

Religious involvement and U.S. adult mortality

We use recently released, nationally representative data from the National Health Interview Survey-Multiple Cause of Death linked file to model the association of religious attendance and sociodemographic, health, and behavioral correlates with overall and cause-specific mortality. Religious attendance is associated with U.S. adult mortality in a graded fashion: People who never attend exhibit 1.87 times the risk of death in the follow-up period compared with people who attend more than once a week. This translates into a seven-year difference in life expectancy at age 20 between those who never attend and those who attend more than once a week. Health selectivity is responsible for a portion of the religious attendance effect: People who do not attend church or religious services are also more likely to be unhealthy and, consequently, to die. However, religious attendance also works through increased social ties and behavioral factors to decrease the risks of death. And although the magnitude of the association between religious attendance and mortality varies by cause of death, the direction of the association is consistent across causes.     

Predictors of suicidal ideation among college students: A prospective cohort study

ABSTRACT

This prospective cohort study investigated longitudinal predictors of suicidal ideation among college students. A non-clinical cohort of college students (N = 171) completed baseline and 3-month follow-up surveys. Depressive symptoms, worst-point suicidal ideation, and suicide attempt history significantly predicted follow-up suicidal ideation severity after adjusting covariates. Similarly, depressive symptoms and worst-point suicidal ideation (but not attempt history) were significant predictors of follow-up suicidal ideation intensity in an adjusted model. The results suggest that current depressive symptoms and lifetime worst-point suicidal ideation are independently valuable constructs that may provide relatively short-term predictive information when screening for suicidal ideation among college students.     

The Effect of Having More Children on Women's Labour Force Participation in Korea: An Analysis Using Instrument Variables

The objective of this study was to examine the causal relations between having more children and women's labour force participation using Korean data. Given the strong preference for sons in Korea, variables regarding the number of daughters were used as instrument variables for having more children. The results using 1980s data showed that having a third child had a significantly positive impact on women's labour force participation in the ordinary least squares analysis, whereas the coefficient value was significantly negative in the two‐stage least squares analysis. Such results imply that, unlike in the western societies such as the USA and the UK, the ordinary least squares analysis results might underestimate the negative correlations between having more children and women's labour force participation in a developing country such as Korea.     

Inference on the ratio of two coefficients of variation of two lognormal distributions

The coefficient of variation (CV) can be used as an index of reliability of measurement. The lognormal distribution has been applied to fit data in many fields. We developed approximate interval estimation of the ratio of two coefficients of variation (CsV) for lognormal distributions by using the Wald-type, Fieller-type, log methods, and method of variance estimates recovery (MOVER). The simulation studies show that empirical coverage rates of the methods are satisfactorily close to a nominal coverage rate for medium sample sizes.