Economic Cost of Human Capital Loss from Fiji: Implications for Sustainable Development1

Small island nations in the South Pacific are facing a serious problem of loss of human capital. The loss of skilled and qualified personnel from the small pool is causing a major setback in terms of providing the technical expertise to forge ahead with reform programs that these economies are undertaking. Fiji's policymakers are increasingly confronting this issue, because the nation has experienced a massive outflow of skilled labor following the political instability in 1987. While there is an outflow of skilled labor, the country is also losing a large amount of financial capital. The extent of the outflow has yet to be measured due to lack of a methodology. This study advances a methodology to measure the loss to the economy arising out of human capital loss in a small island economy.     

The Role of Financial Development and Economic Misery on Life Expectancy: Evidence from Post Financial Reforms in India

Several survey studies have found that internal migrants report lower levels of happiness than locals, even after accounting for socio-economic factors. Traditional global self-ratings reveal that the migrant–local happiness-gap is also present in the data we present. The reasons for the migrant–local happiness-gap are as yet unclear. This paper aims to open this ‘black box’ by exploring the role of daily activities among a population that has generally been overlooked despite their high migration frequency: young adults. An innovative smartphone application is used that combines two techniques for multiple moment assessment: the experience sampling method and the day reconstruction method. Based on the application data, we examine whether internal migrants spend their time differently than locals and in which situations they feel noticeably less happy than locals. The data reveal that internal migrants distribute less time to happiness-producing activities such as active leisure, social drinking/parties, and activities outside home/work/transit. Internal migrants feel less happy than locals when spending time with friends and while eating. Possible explanations focusing on the role of social capital are discussed. Further analyses reveal that daily life experiences greatly enhance the explanation of the migrant–local happiness-gap. This paper demonstrates the potential value of real-time data and phone applications in solving happiness puzzles.     

A novel approach to estimation of the time to biomarker threshold: applications to HIV

In longitudinal studies of biomarkers, an outcome of interest is the time at which a biomarker reaches a particular threshold. The CD4 count is a widely used marker of human immunodeficiency virus progression. Because of the inherent variability of this marker, a single CD4 count below a relevant threshold should be interpreted with caution. Several studies have applied persistence criteria, designating the outcome as the time to the occurrence of two consecutive measurements less than the threshold. In this paper, we propose a method to estimate the time to attainment of two consecutive CD4 counts less than a meaningful threshold, which takes into account the patient‐specific trajectory and measurement error. An expression for the expected time to threshold is presented, which is a function of the fixed effects, random effects and residual variance. We present an application to human immunodeficiency virus‐positive individuals from a seroprevalent cohort in Durban, South Africa. Two thresholds are examined, and 95% bootstrap confidence intervals are presented for the estimated time to threshold. Sensitivity analysis revealed that results are robust to truncation of the series and variation in the number of visits considered for most patients. Caution should be exercised when interpreting the estimated times for patients who exhibit very slow rates of decline and patients who have less than three measurements. We also discuss the relevance of the methodology to the study of other diseases and present such applications. We demonstrate that the method proposed is computationally efficient and offers more flexibility than existing frameworks. Copyright © 2016 John Wiley & Sons, Ltd.     

Sexual functioning in women with chronic pelvic pain: the impact of depression, support, and abuse

Many studies have documented associations between sexual functioning, depression, experiences of childhood sexual abuse, relationship support, and chronic pelvic pain, but none have addressed the interrelationships among all of these variables in a unified model. The aim of this preliminary study was to construct an integrative model predicting sexual functioning for women with chronic pelvic pain. Sixty-three women with chronic pelvic pain completed measures of sexual functioning for use as the criterion variable, and measures of the impact of chronic pain, depression, experiences of sexual abuse, and relationship support as predictors. The primary finding was that depression mediated the effects of child sexual abuse and partially mediated the effects of relationship support on sexual behavior and satisfaction with the sexual relationship. In addition to its indirect relationship through depression, relationship support also independently predicted sexual function. Thus, in this nonclinical sample, the effects of child sexual abuse on sexual function depended on the extent of depressive symptoms, while the influence of relationship support depended in part on depression.     

A comparison of methods for collecting self-report data on sensitive topics

Insufficient attention has been paid to whether disclosure rates of sensitive or stigmatizing information vary as a function of method of inquiry. Methods vary both in terms of the anonymity afforded the participant and the opportunity to make a connection with the researcher, both of which might affect participants' willingness to disclose such information. In this investigation, 215 undergraduate students were randomly assigned to complete identical questionnaires using one of the three most common methods of data collection (in-person interview, telephone interview, and paper-and-pencil questionnaire) or an automated telephonic data collection (ATDC) system. Questions on six topic areas of increasing social sensitivity (study habits, substance use, physical and sexual aggression, victimization and perpetration) were included. The results indicated that there were no differences in disclosure rates due to methods and no method by topic interaction, but the two telephonic methods both produced significantly higher participation rates than the two other methods. The results suggest that, at least for a college student sample, an automated telephonic system produces data comparable to that of more traditional methods, while offering greater convenience, economy, and participation.     

Measurement of risk and protective factors for drug use and anti-social behavior among high school students in South Africa

The study sought to examine, for South African adolescents: 1) the reliability of sub-scales of the Communities that Care Youth Survey (CTC Youth Survey) of risk and protective factors for drug use and anti-social behavior; and 2) the extent to which tobacco, alcohol and marijuana use can be predicted from community, family, school, and peer-individual factors based on sub-scales of the CTC Youth Survey. On two occasions, 92 male and 31 female, Grade 8 and 11 students completed measures concerning: 1) their past month tobacco, alcohol and marijuana use; and 2) various community, family, school, and peer-individual factors. Cronbach alpha coefficients of sub-scales of the questionnaire ranged between .60 and .94. Kappa values were at least moderate (above .40) on 19 sub-scales, and on the remaining sub-scales observed agreement levels ranged between .49 and .94. Each domain predicted tobacco, alcohol, and marijuana use. Multiple logistic regression analyses revealed that alcohol use was most strongly accounted for by the peer domain, tobacco use by the school domain, and marijuana use by the peer and community domains. The findings support use of the CTC Youth Survey, with slight revisions, among South African high school students.     

Knowledge Diversity,Turnover, and Organizational‐Unit Productivity: An Empirical Analysis in a Knowledge‐Intensive Context

We examine the role of knowledge diversity among unit members on an organizational unit's productivity. Utilizing a proprietary data set of corrective maintenance tasks from a large software‐services firm, we investigate the impact of two key within‐unit diversity metrics: interpersonal diversity and intrapersonal diversity. We analyze the independent influence of interpersonal diversity and the interactive influence of interpersonal diversity and intrapersonal diversity on organizational unit's productivity. Finally, we examine how diversity moderates productivity of an organizational unit when employee turnover occurs. Our analysis reveals the following key insights: (a) interpersonal diversity has an inverted U‐shaped effect on organizational unit's productivity; (b) intrapersonal diversity moderates the influence of interpersonal diversity on organizational‐unit productivity; (c) at higher levels of interpersonal diversity, rate of decrease in productivity of the organizational unit due to turnover is higher. We discuss the resulting theoretical and managerial insights associated with these findings.