House Price Shocks and Individual Divorce Risk in the United States

Households in the United States hold a significant portion of their total wealth in owner-occupied housing. Thus, changes in housing prices may have an important impact on the marital surplus the household enjoys. What happens to marriages of homeowners when there is a shock to housing prices? This question was addressed using household data from the panel study of income dynamics (PSID) and a quarterly MSA level house price index from the Federal Housing Finance Agency, controlling for local labor market conditions. House price shocks were calculated as the cumulative sum of residuals of a second order autoregressive model from the previous four years. Results showed that positive house price shocks stabilized marriage for all couples. A one standard deviation increase in the house price shock decreased the risk of divorce in the following year by about 13–18%. The results were driven by the younger cohort of households in the PSID, those with lower educational attainment, and those with relatively low family income. The findings are discussed in the context of theories on changes in marital surplus, and changes in the transaction costs surrounding divorce.     

Tests on asymmetry for ordered categorical variables

Skewness is a well-established statistical concept for continuous and, to a lesser extent, for discrete quantitative statistical variables. However, for ordered categorical variables, limited literature concerning skewness exists, although this type of variables is common for behavioral, educational, and social sciences. Suitable measures of skewness for ordered categorical variables have to be invariant with respect to the group of strictly increasing, continuous transformations. Therefore, they have to depend on the corresponding maximal-invariants. Based on these maximal-invariants, we propose a new class of skewness functionals, show that members of this class preserve a suitable ordering of skewness and derive the asymptotic distribution of the corresponding skewness statistic. Finally, we show the good power behavior of the corresponding skewness tests and illustrate these tests by applying real data examples.     

Settler colonialism in Australia and the cashless debit card

Settler colonialism continues in Australia today. One way this occurs is through processes of assimilation such as targeting First Nations subjectivities with behavioural conditions on their social security payments. In this paper, I draw on a 13-month study examining one such programme; the Cashless Debit Card trial in the East Kimberley region in North West Australia. Through restricting cash and purchases to curb alcohol consumption, illegal drug use, and gambling, card aims to instil “responsible behaviour” such as getting a job in the capitalist economy, accumulating private property, and succeeding in English education. Through drawing on critical discourse analysis, I ask, what does the Cashless Debit Card tell us about the settler state's attempts of continued assimilation? The paper explores specific ways the state legitimising assimilation through provoking narratives of First Nations dysfunction, depoliticising poverty and colonisation, constructing evidence around success of policy, and constructing ideas of “community” in order to regulate who speaks and who is overlooked. Although assimilation attempts are made, there is resistance and pushback in the trial site. Attempts of assimilation, not actual assimilation, can only be observed.     

A normalization procedure for correcting biased response data

This paper presents a method for normalizing grouped data that exhibits response or sample bias as reflected by unequal marginal totals. The use of the method is illustrated on triad data of judged similarity of meaning collected in Guatemala. The model should have wide utility in the social sciences.     

Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach

While most regression models focus on explaining distributional aspects of one single response variable alone, interest in modern statistical applications has recently shifted towards simultaneously studying multiple response variables as well as their dependence structure. A particularly useful tool for pursuing such an analysis are copula-based regression models since they enable the separation of the marginal response distributions and the dependence structure summarised in a specific copula model. However, so far copula-based regression models have mostly been relying on two-step approaches where the marginal distributions are determined first whereas the copula structure is studied in a second step after plugging in the estimated marginal distributions. Moreover, the parameters of the copula are mostly treated as a constant not related to covariates and most regression specifications for the marginals are restricted to purely linear predictors. We therefore propose simultaneous Bayesian inference for both the marginal distributions and the copula using computationally efficient Markov chain Monte Carlo simulation techniques. In addition, we replace the commonly used linear predictor by a generic structured additive predictor comprising for example nonlinear effects of continuous covariates, spatial effects or random effects and furthermore allow to make the copula parameters covariate-dependent. To facilitate Bayesian inference, we construct proposal densities for a Metropolis–Hastings algorithm relying on quadratic approximations to the full conditionals of regression coefficients avoiding manual tuning. The performance of the resulting Bayesian estimates is evaluated in simulations comparing our approach with penalised likelihood inference, studying the choice of a specific copula model based on the deviance information criterion, and comparing a simultaneous approach with a two-step procedure. Furthermore, the flexibility of Bayesian conditional copula regression models is illustrated in two applications on childhood undernutrition and macroecology.     

“Privacy please!” The public to private decision in Germany

This paper examines the characteristics and motives of German public to private transactions (PTPs) between 1996 and 2004. We empirically test hypotheses regarding free cash flow, leverage potential, ownership concentration, a stock market quotation’s decreasing benefits, limited capital market efficiency, and dividends. The results illustrate that, in the relevant period, the going private companies originated from mature industries and that, in the three financial years preceding the PTP transaction, their sales figures showed slow growth. Furthermore, the capital structure had potential for further leveraging and the companies were marked by low profitability. Trading in the PTPs’ shares was very sluggish, which limited the efficiency of the capital markets. Ultimately, we do not find evidence supporting the free cash flow hypothesis regarding German firms.     

Primary Care Screening of Depression and Treatment Engagement in a University Health Center: A Retrospective Analysis

Abstract

Objectives: This retrospective study analyzed a primary care depression screening initiative in a large urban university health center. Depression detection, treatment status, and engagement data are presented. Participants: Participants were 3,713 graduate and undergraduate students who presented consecutively for primary care services between January and April 2006. Methods: A standardized 2-tiered screening approach for an inception cohort of students utilizing primary services. Primary care providers were trained to triage students with depressive symptoms. Results: Six percent of participants had clinically significant depressive symptoms (CSD). Severe depressive symptoms were found in less than 1.0% of participants. Male rates of severe depressive symptoms were more than double that of females. Only 35.7% of untreated depressed participants started treatment within 30 days following identification. Conclusions: Systematic primary care depression screening in a college health center is a promising approach to identify untreated students with depression. More study is needed to improve rates of treatment engagement.     

Impediments to Academic Performance of Bisexual College Students

Abstract

Objective: To investigate health-related impediments to academic success for bisexual college students. Participants: Respondents to the Fall 2011 American College Health Association–National College Health Assessment II (ACHA-NCHA II) survey who self-identified as bisexual, heterosexual, gay, or lesbian. Methods: Secondary analyses of the ACHA-NCHA II data were conducted to compare the experiences of bisexual students with both each other (bisexual men and bisexual women) and those of their nonbisexual counterparts (heterosexual and gay/lesbian students). Results: Bisexual college students are a large and distinct sexual minority group. On all measures with the exception of discrimination, bisexual college students reported the strongest threats to academic success of all sexual orientations. Conclusions: Given the unique impediments for bisexual students, college health professionals should consider specifically addressing needs for bisexual students, bisexual women in particular.