The effects of defamilization and familization measures on the accumulation of retirement income for women in the UK

This article is concerned with the link between the effects of pro-market pension reforms on women and familization/defamilization measures. It aims to contribute to the study of this link in three ways. Firstly, it identifies defamilization/familization measures that have the potential to reduce negative effects of pro-market pension measures on women. Secondly, based on the examples from the United Kingdom, it shows that the government’s willingness to provide sufficient defamilization/familization measures to assist women to deal with the negative effects of the pro-market pension measures should not be taken for granted. Thirdly, it suggests ways for tackling this problem.     

Venues and Filters in Managed Migration Policy: The Case of the United Kingdom

The United Kingdom, like many developed world economies, has witnessed unprecedented immigration since the early 1990s. Also in line with other developed world economies, the United Kingdom has adopted a “managed migration” policy paradigm. The paper argues that the operation of this paradigm is best understood with reference to two key concepts: migration policy “venues” and migration policy “filters.” In terms of the former, the paper argues that managed migration policy is associated with outward, upward, and downward rescaling and commensurate venue growth and diversification. In terms of the latter, the paper argues that six policy filters (legal, geographical, credential, transfer‐based, monetary, and humanitarian) are commonly used to determine legitimate forms of migration but that one (the geographical filter) has been particularly prominent within the United Kingdom's managed migration policy paradigm.     

Queer Intimacies: A New Paradigm for the Study of Relationship Diversity

Recognition of sexual and gender diversity in the 21st century challenges normative assumptions of intimacy that privilege heterosexual monogamy and the biological family unit, presume binary cisgender identities, essentialize binary sexual identities, and view sexual or romantic desire as necessary. We propose a queer paradigm to study relationship diversity grounded in seven axioms: intimacy may occur (1) within relationships featuring any combination of cisgender, transgender, or nonbinary identities; (2) with people of multiple gender identities across the life course; (3) in multiple relationships simultaneously with consent; (4) within relationships characterized by consensual asymmetry, power exchange, or role-play; (5) in the absence or limited experience of sexual or romantic desire; (6) in the context of a chosen rather than biological family; and (7) in other possible forms yet unknown. We review research on queer relational forms, including same-sex relationships; relationships in which one or more partners identify as transgender, gender nonbinary, bisexual, pansexual, sexually fluid, “mostly” straight, asexual, or aromantic; polyamory and other forms of consensual nonmonogamy; kink/fetish relationships; and chosen families. We argue that a queer paradigm shifts the dominant scientific conception of relationships away from the confines of normativity toward an embrace of diversity, fluidity, and possibility.     

The Functions and Dysfunctions of Preparations for Fighting Nuclear War

Abstract

The purpose of this paper is to provide a survey of the functions and dysfunctions of the nuclear arms race on American society. The analysis of the positive functions does not serve as a justification for the status quo, but is undertaken to point out the numerous constraints mitigating against change. The dysfunctions of U.S. nuclear war preparations are explicitly considered here to point out the direct, indirect and opportunity costs of adhering to a policy of extended deterrence. The juxtaposition of both functions and dysfunctions provides insights concerning potential sources of change and policy alternatives that may decrease the negative consequences without weakening U.S. national security.     

Segmental dynamic factor analysis for time series of curves

A new approach is introduced in this article for describing and visualizing time series of curves, where each curve has the particularity of being subject to changes in regime. For this purpose, the curves are represented by a regression model including a latent segmentation, and their temporal evolution is modeled through a Gaussian random walk over low-dimensional factors of the regression coefficients. The resulting model is nothing else than a particular state-space model involving discrete and continuous latent variables, whose parameters are estimated across a sequence of curves through a dedicated variational Expectation-Maximization algorithm. The experimental study conducted on simulated data and real time series of curves has shown encouraging results in terms of visualization of their temporal evolution and forecasting.     

Band Spectral Regression with Trending Data

Band spectral regression with both deterministic and stochastic trends is considered. It is shown that trend removal by regression in the time domain prior to band spectral regression can lead to biased and inconsistent estimates in models with frequency dependent coefficients. Both semiparametric and nonparametric regression formulations are considered, the latter including general systems of two‐sided distributed lags such as those arising in lead and lag regressions. The bias problem arises through omitted variables and is avoided by careful specification of the regression equation. Trend removal in the frequency domain is shown to be a convenient option in practice. An asymptotic theory is developed and the two cases of stationary data and cointegrated nonstationary data are compared. In the latter case, a levels and differences regression formulation is shown to be useful in estimating the frequency response function at nonzero as well as zero frequencies.     

Depressive Symptoms Among Native and Immigrant Adolescents in Norway: The Role of Gender and Urbanization

The study investigates depressive symptoms among 3,431 adolescents aged 13–15 years. The sample comprises both native Norwegian and immigrant adolescents living in Norway. The main finding of the study is that the level of depressive symptoms is significantly higher among the immigrant adolescents than their Norwegian counterparts. When analysed separately for boys and girls, the difference is still significant for boys. Generally depressive symptoms are significantly higher among girls than among boys. Depressive symptoms, especially in boys, may also be related to the degree of urbanization of the area they live in. In cities, there is a significant difference between native Norwegian and immigrant boys, with immigrant boys having a higher level of depressive symptoms than native Norwegians. The implications for future research about immigrant adolescents and their psychosocial adjustment are discussed.

The relationship between social media use and sleep quality among undergraduate students

Insufficient sleep is a growing health problem among university students, especially for freshmen during their first quarter/semester of college. Little research has studied how social media technologies impact sleep quality among college students. This study aims to determine the relationship between social media use and sleep quality among freshman undergraduates during their first quarter in college. Specifically, we explored whether variations in Twitter use across the time of day and day of the week would be associated with self-reported sleep quality. We conducted a study of freshman Twitter-using students (N?=?197) over their first quarter of college, between October and December of 2015. We collected students’ tweets, labeled the content of the tweets according to different emotional states, and gave theme weekly surveys on sleep quality. Tweeting more frequently on weekday late nights was associated with lower sleep quality (β?=??0.937, SE?=?0.352); tweeting more frequently on weekday evenings was associated with better quality sleep (β?=?0.189, SE?=?0.097). Tweets during the weekday that were labeled related to the emotion of fear were associated with lower sleep quality (β?=??0.302, SE?=?0.131). Results suggest that social media use is associated with sleep quality among students. Results provided can be used to inform future interventions to improve sleep quality among college students.     

Tests for an end-of-sample bubble in financial time series

ABSTRACT

In this paper, we examine the issue of detecting explosive behavior in economic and financial time series when an explosive episode is both ongoing at the end of the sample and of finite length. We propose a testing strategy based on a subsampling method in which a suitable test statistic is calculated on a finite number of end-of-sample observations, with a critical value obtained using subsample test statistics calculated on the remaining observations. This approach also has the practical advantage that, by virtue of how the critical values are obtained, it can deliver tests which are robust to, among other things, conditional heteroskedasticity and serial correlation in the driving shocks. We also explore modifications of the raw statistics to account for unconditional heteroskedasticity using studentization and a White-type correction. We evaluate the finite sample size and power properties of our proposed procedures and find that they offer promising levels of power, suggesting the possibility for earlier detection of end-of-sample bubble episodes compared to existing procedures.