Domestic Outsourcing in an Ultra-Low Fertility Context: Employing Live-in Domestic Help and Fertility in Hong Kong

The fertility rate in Hong Kong has been very low for decades. Because work–family conflict is one of the major barriers for married couples in actualizing their fertility ideals, domestic outsourcing that relieves women from the burden of domestic labor may help reduce the gap between ideal and actual fertility. Hiring live-in domestic helpers, who co-reside with the hiring families and work on a full-time basis, is gaining popularity in Hong Kong. However, past studies neither inside nor outside of East Asia have examined how employing live-in helpers affects fertility. This study investigates the relationship between live-in helpers and fertility by analyzing retrospective event-history data we collected from a representative survey of married couples in Hong Kong (n?=?1697). Our results show that married couples employing live-in helpers tend to have more children than couples not employing live-in helpers. Specifically, the practice is associated with higher odds of first childbirth and of second childbirth, with no evidence of a positive effect beyond bearing a second child. The findings have implications for other East Asian societies, which share similar backgrounds of ultra-low fertility rates, rising female labor force participation rates, rigid gender inequalities in domestic labor, and demanding work cultures.

     

A Preliminary Laboratory Evaluation: Effects of Consequence Quality and Ratio-Schedule Arrangements on Staff Performance

ABSTRACT

Supplementary, contingent pay arrangements can result in improved employee productivity and increased job satisfaction. We examined the effects of four stimulus delivery arrangements on performance in a computer-based task in a simulated work context. Three participants entered hypothetical client data onto a Microsoft Excel® invoice and earned gift-cards for task completion according to the following conditions: (a) fixed-ratio/high-preference stimuli (FR/HiP), (b) variable-ratio/high-preference stimuli (VR/HiP), (c) fixed-ratio/varied stimuli (FR/Var), and (d) variable-ratio/varied stimuli (VR/Var). For two of three participants varied reinforcers produced similar levels of responding to high-preference stimuli regardless of schedule type, whereas varied reinforcers did not support responding for the third participant. All participants preferred working under conditions of access to high-preference reinforcers. Results are discussed in light of creating efficient performance improvement plans in organizational settings.     

A five year retrospective analysis of occupational injuries and incidence reported at a research intensive Canadian university

Limited information of occupational injury statistics within academic settings exists. Universities and colleges are an important and insightful work environment due to the varied nature of the work performed by employee groups. The objective of this study was to describe occupational injuries for all work groups in a large research intensive university. A retrospective database analysis was conducted on 2029 employee incident reports over a five year period (2000-2004) to determine general and departmental prevalence of injury types, locations, and mechanisms. Demographic analysis revealed an average age of 42 years and 9 years of work experience. Overall, the most frequent injuries were to the hand (40%), were musculoskeletal in nature (42%), and resulted from being "struck or contacted by" (33%). The greatest number of incidents occurred in food services, followed by physical plant and staff services. Closer examination of incidents reported by food services indicated 53% of injuries occurred to the hand and 72% required first aid. Notable too was that 19% of physical plant injuries occurred to the back, but these reports accounted for 40% of total back injuries and 50% of all lost time claims in the total database. Further epidemiological research in academic institutions is needed to better understand the inherent injury risk in this work sector.     

Cortisol Rise Following Awakening Among Problem Gamblers: Dissociation from Comorbid Symptoms of Depression and Impulsivity

Gambling pathology has been associated with elevated levels of distress, depression and impulsivity. The present investigation assessed whether these behavioral features would be evident among problem gamblers as they are among pathological gamblers. As well, given that gambling has been associated with increased life stress, as an objective index of ongoing distress, elevations of morning cortisol levels were assessed in problem and pathological gamblers relative to recreational gamblers, and their relations to depressive symptoms and impulsivity were assessed. Recreational, problem, and pathological gamblers (N = 140) completed the Beck Depression Inventory and the Barratt Impulsiveness Scale-11, and provided saliva samples at awakening, 30 min, 3.5 h, and 5.5 h afterward. Consistent with the view that problem and pathological gambling are associated with elevated life stressors, the rise of morning cortisol from awakening to 30 min following awakening was greater than in recreational gamblers. Heightened impulsivity was evident among both problem and pathological gamblers, whereas depressive symptoms were only evident among pathological gamblers. In neither instance were these psychological indices related to the morning cortisol rise. Indeed, increased depressive symptoms were not evident among problem gamblers, despite the fact that elevated morning cortisol levels were evident. The elevated morning cortisol rise may be secondary to gambling problems or distress related to gambling problems. Furthermore, the sustained morning cortisol elevations may be indicative of allostatic overload, and could potentially be a harbinger for potential health risks among problematic gamblers.     

Inference for Bivariate Survival Data by Copula Models Adjusted for the Boundary Effect

Copula models describe the dependence structure of two random variables separately from their marginal distributions and hence are particularly useful in studying the association for bivariate survival data. Semiparametric inference for bivariate survival data based on copula models has been studied for various types of data, including complete data, right-censored data, and current status data. This article discusses the boundary effect on these inference procedures, a problem that has been neglected in the previous literature. Specifically, asymptotic distribution of the association estimator on the boundary of parameter space is derived for one-dimensional copula models. The boundary properties are applied to test independence and to study the estimation efficiency. Simulation study is conducted for the bivariate right-censored data and current status data.     

How Asymptomatic Transmission Influences Mitigation and Suppression Strategies during a Pandemic

Asymptomatic transmission complicates any public health strategies to combat a pandemic, which proved especially accurate in the case of COVID-19. Although asymptomatic cases are not unique to COVID-19, the high asymptomatic case rate raised many problems for developing effective public health interventions. The current modeling effort explored how asymptomatic transmission might impact pandemic responses in four key areas: isolation procedures, changes in reproduction rate, the potential for reduced transmission from asymptomatic cases, and social adherence to public health measures. A high rate of asymptomatic cases effectively requires large-scale public health suppression and mitigation procedures given that quarantine procedures alone could not prevent an outbreak for a virus such as SARS-CoV-2. This problem only becomes worse without lowering the effective reproduction rate, and even assuming the potential for reduced transmission, any virus with a high degree of asymptomatic transmission will likely produce a pandemic. Finally, there is a concern that asymptomatic individuals will also refuse to adhere to public health guidance. Analyses indicate that, given certain assumptions, even half of the population adhering to public health guidance could reduce the peak and flatten the curve by over 90%. Taken together, these analyses highlight the importance of taking asymptomatic cases into account when modeling viral spread and developing public health intervention strategies.     

Associations Between Adolescents' Antisocial Behavior,Conflict Management Styles,and Romantic Relationship Breakup: An Observational Study

Adolescents' antisocial behavior and negative conflict management styles are each associated with adverse romantic relationship outcomes, yet little research exists on their associations. We investigated whether adolescents' antisocial behavior was associated with conflict management styles, and whether it predicted breakup 3 months later. In total, 91 adolescent couples (M_age = 16.43, SD = 0.99; 41.2% Hispanic/Latinx) participated in videotaped conflict discussions coded for negotiation, coercion, and avoidance. Actor–partner interdependence models suggest adolescents' antisocial behavior is associated with decreased use of negotiation (couple pattern) and increased use of coercion (actor pattern). No significant associations were found for avoidance. Neither antisocial behavior nor conflict management styles predicted breakup. Findings are discussed in light of the unique developmental importance of adolescents' romantic relationships.     

Greenhouse gases and green roofs: carbon dioxide and methane fluxes in relation to substrate characteristics

Green roof systems have been increasingly implemented to enhance vegetation cover and associated ecosystem services in urban spaces, with primary goals being the reduction of peak surface runoff, enhanced water quality, and mitigation of urban heat island effects. Recently, green roofs have also received attention as a means to enhance carbon sequestration, but direct measurements of greenhouse gas fluxes from established green roof systems are largely lacking. Here we present observations of CO₂ and CH₄ fluxes from substrates of experimental extensive green roof units that varied in vegetation type (Sedum spp., and a native meadow species mix), substrate depth, substrate type (high vs. low organic matter content), and irrigation. We predicted that substrate CO₂ effluxes would be higher in high-organic-matter substrates and that systems with high organic matter would potentially act as CH₄ sources. Substrate fluxes were low compared to natural soils, with seasonal means ranging from an efflux of 0.1–0.4 µmol CO₂ m^-2.s^-1 and uptake of ~0.00–0.04 nmol CH₄ m^-2.s^-1, with higher fluxes late in the growing season. CO₂ fluxes showed large increases in response to irrigation and were higher from the high-organic-matter substrate and with increased substrate depth. The strength of the CH₄ sink increased in response to prior irrigation treatments, and CH₄ emissions were detected only on low-organic-matter substrates early in the growing season. No effects of vegetation type were detected for either CO₂ or CH₄ flux. Our results indicate that high levels of organic matter in green roof substrates may enhance aerobic soil respiration but are not associated with CH₄ emissions, which instead were only detected in low-organic-matter substrates.