Familial Reciprocity and Subjective Well‐being in Ghana

The authors investigated variations in reciprocity and the impact of reciprocity on well‐being in a West African society. They hypothesized that household size and income diversity encourage reciprocity, which in turn enhances subjective well‐being. In empirical testing of these hypotheses the authors used the data of the Core Welfare Indicators Questionnaire of Ghana, a national sample of household heads (N males = 33,949, N females = 13,900) collected in 2003. A regression analysis showed that remittance facilitates balanced or credited reciprocity, whereas size‐related measures (marital status and generational relationships) produce mixed results. Reciprocity clearly strengthens perceived economic security and level of happiness among Ghanaians. This research suggests that extensive reciprocity among kin, rather than household configurations, should be stressed in efforts to understand the structure of familial relationships and its consequences for well‐being.     

Social Indicators Movement and Human Agency: Comment on Land and Michalos

This paper offers a critical comment on Land and Michalos (Soc Indic Res, 2017) and suggests a relay perspective to see the past achievements and future directions in the social indicators movement. In accordance with Land and Michalos, it suggests bringing the issue of human agency to the foreground, and offers an example using an index of the mother’s wellbeing for global comparison.     

Characteristics of urban male homeless veterans and non-veterans in Omaha,Nebraska

The current study examined differences between urban homeless veterans and non-veterans on sociodemographics, housing, clinical characteristics, and psychosocial factors. We recruited a sample of 196 homeless men (101 veterans, 95 non-veterans) from the Omaha, Nebraska metropolitan area. Structured interviews were conducted by research staff. The results showed that the two groups were similar in most respects, though there were several notable differences. Homeless veterans were found to be older and more educated than non-veterans, more likely to have married, and reported having fewer non-adult children. Multivariable models controlling for age further showed that veterans reported a higher number of medical problems and were more likely to report being diagnosed with major depression or PTSD than non-veterans. Comparison with previous studies suggests changes in certain characteristics of homeless veterans over the past few decades that may reflect the growing proportion of veterans from the all-volunteer force, initiated after the draft ended in 1975. Findings from this study were consistent with previous comparative studies suggesting limited changes in recent decades in the characteristics of homeless veterans as compared to non-veterans, although the high prevalence of major depression and PTSD merit special treatment for these disorders.     

Good for the Common Good: Sociotropic Concern and Double Standards toward High- and Low-Skilled Immigrants in Six Wealthy Countries

Immigration policy has conventionally implied a double standard, in which high-skilled immigrants are more acceptable due to their potential contribution to the national economy, little welfare burden, and better cultural adaption, while low-skilled ones are not favored, because of a belief in their limited contribution to the common good. In contrast to the egocentric interest explanation, we emphasize the importance of such sociotropic concerns and suggest that acceptance of immigrants with different skill levels is an outcome of perceived growth and distributional impacts or threatened cultural boundaries. Drawing data from the 2011 Transatlantic Trends: Immigration survey, we performed seemingly unrelated regression modelling to compare natives’ attitudinal responses in six wealthy countries. We found that in addition to the evidence that high-skilled immigrants are favored over low-skilled ones, the worry about welfare burden to the nation is one of the main factors causing locals to dislike low-skilled immigrants. The public who perceive immigrants’ threats to the national economy in terms of taking jobs away in general are also likely to disfavor high-skilled immigrants. Expectations of cultural assimilation are somewhat detached from acceptance of high-skilled immigrants. As the research results imply clear limitation of the double-standard perspective, we propose a new scheme for understanding both double- and single-standard views and incorporate these variations into the sociotropic theory and future research design.

     

Comparison of Several Confidence Intervals for Median Residual Lifetime with Left-truncated and Right-censored Data

For left-truncated and right-censored data, the technique proposed by Brookmeyer and Crowley (1982) is extended to construct a point-wise confidence interval for median residual lifetime. This procedure is computationally simpler than the score type confidence interval in Jeong et al. (2008) and empirical likelihood ratio confidence interval in Zhou and Jeong (2011). Further, transformations of the estimator are applied to improve the approximation to the asymptotic distribution for small sample sizes. A simulation study is conducted to investigate the accuracy of these confidence intervals and the implementation of these confidence intervals to two real datasets is illustrated.     

Inference of Seasonal Long‐memory Time Series with Measurement Error

We consider the Whittle likelihood estimation of seasonal autoregressive fractionally integrated moving‐average models in the presence of an additional measurement error and show that the spectral maximum Whittle likelihood estimator is asymptotically normal. We illustrate by simulation that ignoring measurement errors may result in incorrect inference. Hence, it is pertinent to test for the presence of measurement errors, which we do by developing a likelihood ratio (LR) test within the framework of Whittle likelihood. We derive the non‐standard asymptotic null distribution of this LR test and the limiting distribution of LR test under a sequence of local alternatives. Because in practice, we do not know the order of the seasonal autoregressive fractionally integrated moving‐average model, we consider three modifications of the LR test that takes model uncertainty into account. We study the finite sample properties of the size and the power of the LR test and its modifications. The efficacy of the proposed approach is illustrated by a real‐life example.     

Optimal Selection of the Most Reliable Design Based on Gamma Degradation Processes

Manufacturers are often faced with the problem of how to select the most reliable design among several competing designs in the stage of development. It becomes complicated if products are highly reliable. Under the circumstances, recent work has focused on the study with degradation data by assuming that degradation paths follow Wiener processes or random-effect models. However, it is more appropriate to use gamma processes to model degradation data with monotone-increasing pattern. This article deals with the selection problem for such processes. With a minimum probability of correct decision, optimal test plans can be obtained by minimizing the total cost.     

External technology acquisition and product innovativeness: The moderating roles of R&D investment and configurational context

An increasing number of studies in technology/innovation management contribute to the understanding of the relationship between external technology acquisition and product innovation performance. On the other hand, the meta-analytic reviews of new product development literature indicate a positive impact of product innovativeness on product innovation performance. However, existing research has not examined the link between external technology acquisition and product innovativeness. This study, therefore, aims to fill this gap of knowledge by investigating the external technology acquisition—product innovativeness relationship and examining the moderating roles of R&D investment and configurational context on this link. Based on a panel sample of 105 high-technology firms over a six-year period, a least squared dummy variable s model reveals interesting results. First, external technology acquisition has a positive impact on product innovativeness. Second, R&D investment increases the effect of external technology acquisition on product innovativeness. Lastly, firm size exhibits a negative effect on the contribution of external technology acquisition to product innovativeness. However, firm age positively impacts the relationship between external technology acquisition and product innovativeness. In addition, this study reveals a positive effect of product innovativeness on firm growth.     

Maximum likelihood estimation of linear continuous time long memory processes with discrete time data

Summary.  We develop a new class of time continuous autoregressive fractionally integrated moving average (CARFIMA) models which are useful for modelling regularly spaced and irregu-larly spaced discrete time long memory data. We derive the autocovariance function of a stationary CARFIMA model and study maximum likelihood estimation of a regression model with CARFIMA errors, based on discrete time data and via the innovations algorithm. It is shown that the maximum likelihood estimator is asymptotically normal, and its finite sample properties are studied through simulation. The efficacy of the approach proposed is demonstrated with a data set from an environmental study.     

Exponentially weighted moving average control charts for three-level products

In this paper, exponentially weighted moving average (EWMA) control charts for multinomial data are developed with a three-level classification scheme. The lower and upper control limits of the proposed EWMA control chart are evaluated using Markov chain approximation. Compared with the three-level Shewhart control chart, numerical results indicate that the proposed EWMA control chart is relatively sensitive to small shifts in a three-level multinomial process. A figure and a table are provided for practitioners to select the value of chart limit coefficient that gives the desired in-control average run length.