Job loss and family adjustments in work and schooling during the Mexican peso crisis

We use individual data from a panel of families during the depth of the peso crisis in Mexico to investigate whether the transition of the male household head from employment into unemployment affects the labor force participation of his spouse and children. We find that significant added-worker effects are in operation especially for adult females (wives), but no evidence that the labor force participation, the school attendance, and the likelihood of advancing to the next school grade of teenage males are influenced by the event of unemployment of the household head. The head's unemployment is significantly associated with a higher probability that teenage females do not attend school. However, lower attendance does not appear to impede their advancement to the next grade.

Pregnancy after loss during the COVID19 pandemic

BackgroundRapid changes to how maternity health care is delivered has occurred in many countries across the globe in response to the COVID-19 pandemic. Maternity care provisions have been challenged attempting to balance the needs and safety of pregnant women and their care providers. Women experiencing a pregnancy after loss (PAL) during these times face particularly difficult circumstances.AimIn this paper we highlight the situation in three high income countries (Australia, Ireland and USA) and point to the need to remember the unique and challenging circumstances of these PAL families. We suggest new practices may be deviating from established evidence-based guidelines and outline the potential ramifications of these changes.FindingsRecommendations for health care providers are suggested to bridge the gap between the necessary safety requirements due to the pandemic, the role of the health care provider, and the needs of families experiencing a pregnancy after loss.DiscussionChanges to practices i.e. limiting the number of antenatal appointments and access to a support person may have detrimental effects on both mother, baby, and their family. However, new guidelines in maternity care practices developed to account for the pandemic have not necessarily considered women experiencing pregnancy after loss.ConclusionBereaved mothers and their families experiencing a pregnancy after loss should continue to be supported during the COVID-19 pandemic to limit unintended consequences.     

Loss and grief: The experience of transition to residential aged care

There is growing recognition of the experience of non-death-related loss and grief. One unexplored area of non-death-related loss and grief is associated with older people’s transition from home to residential aged care (RAC). This paper reports findings from a qualitative study that explored the experiences of people living in RAC, carer-relatives of people living in RAC and RAC staff. Using theories of loss and grief, the paper identifies features of the transition to RAC that are associated with unresolved loss and maladaptation to changed circumstances, and the types of support that would mitigate these. Using a series of focus groups with both residents and carer-relatives, as well as staff, the study found that residents and their families need more support to negotiate the multiple, often necessarily hasty decisions and bureaucratic requirements associated with transitioning to RAC, while simultaneously experiencing loss and grief. The types of support that families would welcome from service providers include facilitating shared decision making, valuing family and community carer expertise and providing practical information and assistance to fulfil administrative obligations.     

Checking validity of monotone domain mean estimators

Estimates of population characteristics such as domain means are often expected to follow monotonicity assumptions. Recently, a method to adaptively pool neighbouring domains was proposed, which ensures that the resulting domain mean estimates follow monotone constraints. The method leads to asymptotically valid estimation and inference, and can lead to substantial improvements in efficiency, in comparison with unconstrained domain estimators. However, assuming incorrect shape constraints may lead to biased estimators. Here, we develop the Cone Information Criterion for Survey Data as a diagnostic method to measure monotonicity departures on population domain means. We show that the criterion leads to a consistent methodology that makes an asymptotically correct decision choosing between unconstrained and constrained domain mean estimators. The Canadian Journal of Statistics 47: 315–331; 2019 © 2019 Statistical Society of Canada     

The effect of small sample on optimal designs for logistic regression models

Asymptotic methods are commonly used in statistical inference for unknown parameters in binary data models. These methods are based on large sample theory, a condition which may be in conflict with small sample size and hence leads to poor results in the optimal designs theory. In this paper, we apply the second order expansions of the maximum likelihood estimator and derive a matrix formula for the mean square error (MSE) to obtain more precise optimal designs based on the MSE. Numerical results indicate the new optimal designs are more efficient than the optimal designs based on the information matrix.     

从归责原则角度论知识产权保护

知识产权的保护需要从侵权责任的角度进行规制,立法的完善应当从概念的掌握入手,了解侵权责任归责原则的确切含义,才可以讨论知识产权侵权责任的归责原则,才能够在这一原则的指导下解决各项知识产权侵权案件上的疑惑,以期完善侵权责任法下的知识产权保护。     

试论约翰·菲斯克的大众文化快感理论

约翰.菲斯克认为,作为大众文化内部驱动力量的快感可分生产的快感、冒犯式的身体与狂欢的快感,并对应躲避式、生产者式的两种快感运作方式,大众消费者从中进行意义生产、权力抵制。约翰.菲斯克的大众文化快感理论与罗兰.巴特身体美学、米哈伊尔.巴赫金“狂欢化”理论等思想有着丰富的渊源关系。约翰.菲斯克的大众文化快感理论在积极意义、消极影响两方面为大众文化研究提供了重要的参考系。     

翻译标准的多元性、动态性和模糊性

翻译标准是衡量译文质量优劣的一种尺度,古今中外关于翻译标准的论述异彩纷呈,但没有一个放之四海而皆准的标准。通过分析各种翻译标准发现,翻译标准难以统一的主要原因在于翻译标准的本质特性,即：翻译标准的多元性、动态性和模糊性。     

The Bayes rule of the variance parameter of the hierarchical normal and inverse gamma model under Stein's loss

For the variance parameter of the hierarchical normal and inverse gamma model, we analytically calculate the Bayes rule (estimator) with respect to a prior distribution IG (alpha, beta) under Stein's loss function. This estimator minimizes the posterior expected Stein's loss (PESL). We also analytically calculate the Bayes rule and the PESL under the squared error loss. Finally, the numerical simulations exemplify that the PESLs depend only on alpha and the number of observations. The Bayes rules and PESLs under Stein's loss are unanimously smaller than those under the squared error loss.     

The performance of model averaged tail area confidence intervals

We investigate the exact coverage and expected length properties of the model averaged tail area (MATA) confidence interval proposed by Turek and Fletcher, CSDA, 2012, in the context of two nested, normal linear regression models. The simpler model is obtained by applying a single linear constraint on the regression parameter vector of the full model. For given length of response vector and nominal coverage of the MATA confidence interval, we consider all possible models of this type and all possible true parameter values, together with a wide class of design matrices and parameters of interest. Our results show that, while not ideal, MATA confidence intervals perform surprisingly well in our regression scenario, provided that we use the minimum weight within the class of weights that we consider on the simpler model.