Previous research has primarily focused on the impact of basic psychological needs frustration on parenting styles and its effect on children. However, there is a lack of research on the impact of basic psychological needs frustration in mothers, particularly those who work full time. To fill the gap, this study explores how frustration of needs experienced by full-time working mothers in the family context relates to their experience of maternal stress and family-to-work conflict and the moderating role of financial motivation to work. In a three-wave study of 168 full-time working mothers, we discovered a positive correlation between basic psychological needs frustration and maternal stress, which in turn led to family-to-work conflict. These relationships were more pronounced among mothers with lower financial motivation to work, as opposed to those with higher. We conclude by discussing the implications of our research and suggesting areas for future study.

We examine the association between margin requirements and the market’s efficiency in incorporating firm-specific and market-level public news. Combining the Fed’s 22 changes in margin requirements with a hand-collected sample of earnings announcements between 1934 and 1975, we show that higher margin requirements induce greater delay in incorporating earnings information into prices. We draw similar conclusions when we analyze the Hou and Moskowitz (2005) price delay measure, as well as indirect measures of leverage constraints over recent years. Further tests suggest that, despite the Fed’s expressed intent to curtail excess speculation, higher margin requirements restrict trading by arbitrageurs more than noise traders.

This article uses the enactment of China’s 2007 Property Law (the Law), which reduces the risk of expropriation by local governments, as the setting to investigate the importance of property rights protection for private firm investment. Using propensity score matching and a difference-in-differences design, we find that firms facing weaker property rights protection prior to the Law significantly increase their investment and investment efficiency after the Law. Cross-sectional analyses document evidence consistent with a decrease in firms’ perceived expropriation risk as the main mechanism underlying the Law’s effect. Finally, we show that the Law improves local economic outcomes and employment.

Although research in cultural psychology has established that virtually all human behaviors and cognitions are in some ways shaped by culture, culture has been surprisingly absent from the emerging literature on the psychology of technology. In this perspective article, we first review recent findings on machine aversion versus appreciation. We then offer a cross-cultural perspective in understanding how people might react differently to machines. We propose three frameworks – historical, religious, and exposure – to explain how Asians might be more accepting of machines than their Western counterparts. We end the article by discussing three exciting human–machine applications found primarily in Asia and provide future research directions.

Estimates of the elasticity of the marginal utility of income are necessary for determining distributional weights to correct for diminishing marginal utility of income, which is particularly important in light of increasing concern about accounting for distributional impacts in regulatory review. The elasticity is also necessary for computing the social discount rate using the Ramsey formula. Despite many attempts to estimate the elasticity of the marginal utility of income, considerable uncertainty exists about the magnitude of this key parameter. In this paper, we use meta-analysis of estimates of the elasticity from the US and UK to shed light on the appropriate elasticity values to use for both distributional weighting and discounting. Relying on our findings, we tentatively conclude that it is reasonable to base the social discount rate and distributional weights on an elasticity of 1.6, with lower- and upper-bound sensitivity testing at 1.2 and 2.0. This estimate results in distributional weights which appear plausible, and which we believe can contribute to a consensus on how to conduct distributional weighting. Moreover, the resulting social discount rate is within the range typically recommended when the Ramsey formula is used.

This report presents a cost–benefit analysis of increased spending on tuberculosis (TB) using impacts and costs drawn from the Global Plan to End Tuberculosis, 2023–2030. The analysis indicates that the return on TB spending is substantial with a centrally estimated benefit–cost ratio (BCR) of 46, meaning every US$ 1 invested in TB yields US$ 46 in benefits. Alternative specifications using different baselines, interventions, cost profiles, and discount rates still yield robustly high BCRs, in the range of 28–84. This report also shows that TB investment would avert substantial mortality, estimated at 27.3 million averted deaths over the 28-year period between 2023 and 2050 inclusive: almost 1 million averted deaths per year on average. Accounting for all estimated direct and indirect costs, the cost per averted death is slightly over US$ 2000. Interventions to address TB represent exceptional value-for-money.

Job knowledge characteristics have long been regarded as relatively fixed. However, this may no longer be the case given the dynamic and complex situations faced by employees during the COVID-19 pandemic. On the basis of event system theory and the work design literature, we argue that the onset of COVID-19 created an immediate decrease in job knowledge characteristics, which gradually increased over time in the post-onset period because of employees’ coping with the pandemic. The rate of increase in job knowledge characteristics is higher for those with higher individual task adaptivity than for others. We further argue that changes in job knowledge characteristics produced changes in job stress, and that this effect is weakened by job security. We conducted a 6-month, 6-wave longitudinal survey to gather data from 235 employees in Macau, China covering the pre-onset, onset, and post-onset periods of the COVID-19 outbreak. The results, based on discontinuous growth modeling and latent change score modeling, support our arguments. Our study advances the dynamic view of work design by identifying how a macro event may shape job knowledge characteristics and the implications of a time-to-time change in job knowledge characteristics. Overall, we suggest that there are psychological costs when employees cope at work with the business interruptions caused by COVID-19.

We propose a novel model-free approach to obtain the joint risk-neutral distribution among several assets that is consistent with options on these assets and their weighted index. We implement this approach for the nine industry sectors comprising the S&P 500 index and find that their option-implied dependence is highly asymmetric and time-varying. We then study two conditional correlations: when the market moves down or up. The risk premium is strongly negative for the down correlation but positive for the up correlation. Intuitively, investors dislike the loss of diversification when markets fall, but they actually prefer high correlation when markets rally.