State activism and the hidden incentives behind bank acquisitions

A number of studies have shown that, as a result of the ambiguity of US legal mandates, organizations have considerable latitude in how they comply with regulations. In this paper, we address how the different agendas of the federal and state governments increase ambiguities in state-firm relations and how states are interested actors in creating opportunities for firms to navigate the federal legislation. We analyze the institutional forces behind bank acquisitions within and across state lines in order to illuminate the ways that US states take advantage of federal ambiguity and are able to shape corporate practices to their benefit. We specifically examine how patterns of bank acquisitions are shaped by the crucial relationship between the federal Community Reinvestment Act (CRA) and a little-understood provision in the federal tax code that is implemented at the state level, the Low-Income Housing Tax Credit (LIHTC). The relationship is complex because, while the federal government uses the CRA to control bank acquisition activity, states promote use of the LIHTC, through which banks can address federal CRA concerns, and thereby promote bank acquisitions in their jurisdictions. Thus, our findings suggest that the implementation of social legislation at one level in a federal regulatory system undermines the mechanisms of social legislation at another level. We use archival research and in-depth interviews to examine the interaction between these institutional processes and formulate hypotheses that predict the ways in which bank acquisitions are constrained by banks’ CRA ratings and the way states in turn help banks overcome their CRA constraints. Quantitative analyses of all bank acquisitions in the United States from 1990-2000 largely support these hypotheses.     

Caring Adults: A Brief Report Assessing Adults’ Needs in Feeling More Comfortable Having Sexual Health Conversations with Youth in South Texas

Abstract

Objectives: As part of a larger Substance Abuse and Mental Health Services Administration-funded project in South Texas, this study sought to understand adults’ needs with regard to engaging in sexual health conversations with youth and young adults.

Methods: A total of 223 participants were surveyed to assess comfort engaging in sexual health conversations. Data were analyzed using thematic coding. Stigma surrounding sexual health conversations underlined all themes.

Results: Differences by gender and sexual orientation in the data were noted. Stigma around sexual health topics reduced participants’ comfort.

Conclusions: To this end, interventions must go beyond psychosocial and educational programs and address societal factors that contribute to the stigma.     

Sexual Orientation and Fear at Night: Gender Differences Among Sexual Minorities and Heterosexuals

Using data from the 2000–2010 General Social Survey, a nationally representative sample of 5,086 adults in the United States, the authors examine sexual orientation and gender differences in reports of being afraid to walk alone at night. Results indicate that sexual minorities are significantly more likely to report fear at night than heterosexuals, and women are significantly more likely to report such fear than men. Further, our findings suggest that these sexual orientation and gender differences are due to sexual minority men being more likely than heterosexual men to report fear at night. Thus, the results of this study reveal that three groups—heterosexual women, sexual minority women, and sexual minority men—do not differ from one another in reporting fear, yet these groups are all more likely than heterosexual men to report fear at night. These findings give weight to the importance of investigating the intersection of sexual orientation and gender in individuals’ reports of fear.     

Period analysis of variable stars by robust smoothing

Summary.  The objective is to estimate the period and the light curve (or periodic function) of a variable star. Previously, several methods have been proposed to estimate the period of a variable star, but they are inaccurate especially when a data set contains outliers. We use a smoothing spline regression to estimate the light curve given a period and then find the period which minimizes the generalized cross-validation (GCV). The GCV method works well, matching an intensive visual examination of a few hundred stars, but the GCV score is still sensitive to outliers. Handling outliers in an automatic way is important when this method is applied in a 'data mining' context to a vary large star survey. Therefore, we suggest a robust method which minimizes a robust cross-validation criterion induced by a robust smoothing spline regression. Once the period has been determined, a nonparametric method is used to estimate the light curve. A real example and a simulation study suggest that the robust cross-validation and GCV methods are superior to existing methods.     

Do the left-handed die young?

Martin Bland and Doug Altman have been writing together for nearly 30 years, much of it about the consequences of misleading statistical analyses. In what they estimate to be their 79th publication, they comment on a long-running controversy: do left-handed people have shorter lives than the right-handed?