A wavelet Whittle estimator of generalized long-memory stochastic volatility

We consider a k-GARMA generalization of the long-memory stochastic volatility model, discuss the properties of the model and propose a wavelet-based Whittle estimator for its parameters. Its consistency is shown. Monte Carlo experiments show that the small sample properties are essentially indistinguishable from those of the Whittle estimator, but are favorable with respect to a wavelet-based approximate maximum likelihood estimator. An application is given for the Microsoft Corporation stock, modeling the intraday seasonal patterns of its realized volatility.     

Advancing Gendered Analyses of Entrepreneurship: A Critical Exploration of Entrepreneurial Activity among Gay Men and Lesbian Women

This paper advances contemporary gendered analyses of entrepreneurial activity by exploring self‐employment amongst gay men and lesbian women. Within current entrepreneurial debate, heterosexual women have become the visible embodiment of the gendered subject. Our contribution is to queer this assumption when focusing upon the entrepreneurial activity of gays and lesbians. Our core question investigates if ‘there is evidence of differences between homosexuals and heterosexuals in their likelihood of being entrepreneurially active’. To address this question, we contrast competing notions of gender stereotypes and discrimination whilst drawing on findings from a large‐scale population‐based study of 163,000 UK adults. We find few differences between homosexuals and heterosexuals; this persists after examining intersectional patterns and considering if gay and lesbian entrepreneurs choose particular sectors, geographies or forms of self‐employment. As our discussion highlights, the value of this study lies within its critique of contemporary analyses of gender which assume it is an end‐point rather than a foundation for analysing gender as a multiplicity.     

Daily Fantasy Sports Players: Gambling,Addiction, and Mental Health Problems

Studies point to a relationship between fantasy sports/daily fantasy sports (DFS) play and gambling behavior. However, little is known about the nature of those relationships, particularly regarding the development of gambling problems. This study investigates the nature, frequency, and preferences of gambling behavior as well as problem gambling severity and comorbid conditions among DFS players. Data were collected from an epidemiologic survey of 3634 New Jersey residents on gambling and leisure activities. Participants were contacted by phone (land-line and cell) and online to obtain a representative, cross-sectional sample of non-institutionalized adults, aged 18 years or older. Excluding non-gamblers, the remaining 2146 participants, included in these analyses, indicated they had either played DFS (n = 299) or had gambled but not played DFS (1847) in the past year. Univariate comparisons and multiple logistic regression analyses were performed to identify the most significant characteristics and predictors of DFS players. Overall, a higher number of gambling activities, high frequency gambling, male gender, and reports of suicidal thoughts in the past year were most predictive of DFS players. Being Hispanic (vs. Caucasian) and/or single (vs. married or living with a partner) also doubled the odds of DFS play. Findings suggest that DFS players are characterized by high gambling frequency and problem severity and comorbid problems, notably suicidal ideation. Future research should examine the motivations and possible etiological sub-types of DFS players and the nature and course of DFS play, particularly in relation to gambling behavior and the development of gambling and other problems.     

Global Identifications: The Social Identity Behind the Globalised Sociocultural Anthropologist

My social identity as a diasporic Korean American male sometimes engendered doubts about my competency as a cultural anthropologist of South Korea. Such ethnonational gatekeeping by my ‘native’ Korean colleagues laid bare broader critiques of ‘the West’. Paradoxically, they also prompted re-entrenchments of nativeness (and implicitly, non-nativeness) by my colleagues despite their increasingly ‘non-native’ transnational identities. These embodied cultural boundaries are less visible (and arguably less consequential) to those viewed as recognisably non-native Asian (for example, white, Euro-American) or native Asian. But they are markedly visible and relevant to diasporic subjects who fit less comfortably within both boundary-enforcing classifications. The figure of the diasporic anthropologist reveals presumed racialised and gendered markers of difference—chiefly the unmarked but organising role of whiteness—conveniently subsumed under categories of ‘the West’ and ‘Asia’. Consequently, recent calls for ‘global anthropology’ against ‘Euro-American academic hegemony’ that fail to address this essentialising tendency, although important, remain inadequate.     

Coping strategies used by LGB older adults in facing and anticipating health challenges: A narrative analysis

ABSTRACT

Given that lesbian, gay, and bisexual (LGB) older adults face notable health disparities compared to their heterosexual counterparts, there is a need for understanding how LGB adults cope with health challenges in late life. The current study analyzes narratives from nine LGB adults age 65 and older living in an urban area in the Southeast United States. Participants spoke of coping strategies related to health promotion behaviors, shifting perspectives of health and body, trusting in spirituality for comfort, and accepting the end of life. We discuss implications for social services professionals who work with older LGB adults and for future research.     

From waterfall plots to spaghetti plots in early oncology clinical development

Waterfall plots are used to describe changes in tumor size observed in clinical studies. They are frequently used to illustrate the overall drug response in oncology clinical trials because of its simple representation of results. Unfortunately, this visual display suffers a number of limitations including (1) potential misguidance by masking the time dynamics of tumor size, (2) ambiguous labelling of the y‐axis, and (3) low data‐to‐ink ratio. We offer some alternatives to address these shortcomings and recommend moving away from waterfall plots to the benefit of plots showing the individual time profiles of sum of lesion diameters (according to RECIST). The spider plot presents the individual changes in tumor measurements over time relative to baseline tumor burden. Baseline tumor size is a well‐known confounding factor of drug effect which has to be accounted for when analyzing data in early clinical trials. While spider plots are conveniently correct for baseline tumor size, they cannot be presented in isolation. Indeed, percentage change from baseline has suboptimal statistical properties (including skewed distribution) and can be overly optimistic in favor of drug efficacy. We argued that plots of raw data (referred to as spaghetti plots) should always accompany spider plots to provide an equipoised illustration of the drug effect on lesion diameters.     

DFID governance programming in Nigeria: What difference has thinking and working politically made in practice?

The UK Department for International Development's country office in Nigeria (DFID Nigeria) has gradually adopted a thinking and working politically (TWP) approach in its governance programming. The initial focus on strengthening analysis has progressively been linked to discussion about the country and programme strategy, as well as programme‐management practices. Important lessons can be learned from this experience on how the TWP approach can be applied in practice. The article addresses three research questions: (1) To what extent have DFID Nigeria and its governance programmes adopted a TWP approach? (2) How has the TWP approach influenced the design and delivery of programming? (3) Has the application of the TWP approach enhanced the results of the DFID governance programming? Using project documentation and wider theoretical literature, but mainly relying on extensive participant observation within DFID Nigeria programmes, the article uses a historical perspective to outline how the TWP approach has been applied in Nigeria over 15 years of programme design, delivery, lesson‐learning and refinement . Published evaluation reports are used to provide evidence of programme results. DFID Nigeria and its programmes have progressively adopted TWP principles. This has led to clear changes in country strategy and programme design, as well as programme‐management practices. There is some evidence that the adoption of these principles has enhanced the results of DFID Nigeria programmes. By focusing on experimentation and “small bets,” TWP has proven relatively successful in generating and supporting ‘islands of effectiveness,’ but has had more limited impact in terms of generating more systemic, transformational change. The results obtained in Nigeria using the TWP approach have depended not only on Nigeria's political economy but also on the political economy of the development agency and donor country. DFID Nigeria's ability to engage in critical self‐reflection and to create an authorizing environment for risk‐taking have been vital to create enabling conditions for the TWP approach. However, other aspects of DFID and the UK's political economy are creating constraints that limit the prospects to go further and to go deeper in adopting the principles of TWP.     

Statistical methods for handling missing data to align with treatment policy strategy

The International Council for Harmonization (ICH) E9(R1) addendum recommends choosing an appropriate estimand based on the study objectives in advance of trial design. One defining attribute of an estimand is the intercurrent event, specifically what is considered an intercurrent event and how it should be handled. The primary objective of a clinical study is usually to assess a product's effectiveness and safety based on the planned treatment regimen instead of the actual treatment received. The estimand using the treatment policy strategy, which collects and analyzes data regardless of the occurrence of intercurrent events, is usually utilized. In this article, we explain how missing data can be handled using the treatment policy strategy from the authors' viewpoint in connection with antihyperglycemic product development programs. The article discusses five statistical methods to impute missing data occurring after intercurrent events. All five methods are applied within the framework of the treatment policy strategy. The article compares the five methods via Markov Chain Monte Carlo simulations and showcases how three of these five methods have been applied to estimate the treatment effects published in the labels for three antihyperglycemic agents currently on the market.