Salvaging Decency: Mobile Home Residents’ Strategies of Managing the Stigma of “Trailer” Living

This paper is based on 45 ethnographic interviews conducted with residents of mobile home communities in West Central Florida between 2005 and 2008. It investigates their strategies of managing the stigma that is commonly associated with living in a mobile home. Informants routinely encounter negative stereotypes regarding their “trailer” home, community, and lifestyle in public discourse and personal interactions, and consequently have developed ways of salvaging their decency. My analysis of these strategies particularly emphasizes two versions of distancing, here called “bordering” and “fencing,” as examples of symbolic boundary work. Other techniques discussed include ignoring, passing, humoring, resisting, normalizing, upstaging, and blaming. Throughout the paper, I argue that mobile home residents’ ways of salvaging decency are both similar and different compared to how other disparaged groups deal with stigmatization. The conclusion discusses broader sociological implications of the research in enhancing our understanding of the experience of stigmatization, folk conceptions of decency, symbolic and social differentiation, as well as race and class dynamics.     

Voting on redistribution with tax evasion

This paper analyzes voting on a linear income tax whose proceeds are redistributed lump sum to the taxpayers. Individuals can evade taxes, which leads to penalties if evasion is detected. Since preferences satisfy neither single peakedness nor single crossing, a voting equilibrium may not exist. When an equilibrium does exist, there are several possible outcomes. There may be ‘conventional’ equilibria where the rich are expropriated by the poor and middle class. There may be equilibria without full expropriation where redistribution is limited by the threat of evasion. Finally, there may be equilibria where redistribution goes from the middle class to the rich and poor.     

Efficiency Wages,Productivity and Simultaneity: A Meta-Regression Analysis

This study reports a meta-analysis of 75 estimates of the efficiency-wage effect. It reveals a strong efficiency-wage effect that depends upon whether researchers control for potential simultaneity between wages and productivity. Studies that control for simultaneity tend to report stronger effects. Clear evidence of publication selection is also found. E24, J30.

What Fills the Gaps Left by Employer-Provided Insurance?

Employer-provided insurance is the leading source of medical insurance for non-elderly Americans. However, it leaves many without coverage. Evidence suggests that the non-group insurance market does a poor job of filling in these gaps, for those with both short- and long-term uninsurance. It does so for all income and age groups, as well as for both genders. It does fill some of the gaps in employer-provided coverage for those with middle and high incomes, though very incompletely.     

Temporal Patterns of Accuracy Confidence in Social Judgments: A New Method and Initial Results

An integrated, computer-based system was developed to record participants’ continuous judgment changes on a revised form of the Interpersonal Perception Task (IPT-15). Consistent with the considerable research on “thin slice” judgments, the mean latency for greater than chance accuracy confidence was just 16 s (median = 10 s) for the ten one-part scenes on the IPT. There was also a clear and strong linear trend for increasing accuracy confidence across the first 25 s of the ten one-part scenes. For the five-two-part scenes, where comparative judgments were required (e.g., which statement is truthful, which is a lie?), no clear pattern of increasing accuracy confidence was found, with mean scores hovering near chance. The utility of the new system for analyzing the time course of social judgments is discussed and the potential reasons for the contrasting results for the one-part and two-part scenes were examined.     

Psychosocial Correlates of Interpersonal Sensitivity: A Meta-Analysis

This meta-analysis examines how interpersonal sensitivity (IS), defined as accurate judgment or recall of others’ behavior or appearance, is related to psychosocial characteristics of the perceiver, defined as personality traits, social and emotional functioning, life experiences, values, attitudes, and self-concept. For 215 independent studies reported in 96 published sources, higher IS was generally associated with favorable or adaptive psychosocial functioning. Significant mean correlations were found for 27 of the 40 categories of psychosocial variables; these categories covered many different personality traits, indicators of mental health, and social and work-related competencies. Moreover, many additional studies that fell outside these conceptual categories also showed significant positive relations between IS and numerous other psychosocial variables. Taken together, the results support the construct validity of IS tests and demonstrate that IS is associated with many important aspects of personal and social functioning.

Bullying and Victimization Among Young Elementary School Children: The Role of Child Ethnicity and Ethnic School Composition

School-aged children with an ethnic minority background are relatively often involved in bullying and victimization, but the role of ethnic composition of schools in this context remains unclear. This study examined the relation between ethnic minority background, ethnic school composition, and bullying behaviour around primary school entry in the Netherlands. The study was based on a 2008/2009 school survey in Rotterdam, a Dutch city where about 50 % of children have a non-Dutch background. For 8523 children, teacher reports of bullying behaviour at age 5–6 years were available. Children with a non-Dutch background had higher odds of being a victim (adjusted OR 1.41, 95 % CI 1.11, 1.80), bully (OR 1.38, 95 % CI 1.20, 1.58) or bully-victim (OR 1.38, 95 % CI 1.19, 1.62) than children of Dutch national origin. Ethnic diversity in schools increased children’s risk of bullying behaviour (e.g. OR_victim per 0.1 increase in 0–1 diversity range = 1.06, 95 % CI 1.00, 1.13), with children of both Dutch and non-Dutch national origin relatively more often involved in bullying in ethnically diverse schools. The proportion of same-ethnic peers in school reduced the risk of bullying among children of Dutch national origin (e.g. OR_victim per 10 % more same-ethnic children = 0.90, 95 % CI 0.83, 0.98), but not among non-Dutch children. In conclusion, ethnic minority background and ethnic diversity within schools are risk factors for bullying among 5–6 year olds. Plausibly, reductions in absolute numbers of bullying events may be obtained with tailor-made interventions in ethnically diverse schools. Such interventions should preferably be offered early in the school curriculum.     

Wealth Inequality in Black and White: Cultural and Structural Sources of the Racial Wealth Gap

Using data from the 2013 Survey of Consumer Finances, this research examines competing and complementary cultural and structural explanations of the sources of racial differences in wealth. We use OLS regression and quantile regression to identify the major individual-level sources of wealth differences between African Americans and whites. Whites have more favorable wealth characteristics than do African Americans on all of the variables in the analysis: gender of household head, bankruptcies, spending patterns, stock ownership, business ownership, home ownership, inheritance, educational attainment, income, occupation, age, and number of children. Cultural factors, having a female-headed family, spending patterns, and inheritance account for little of the racial wealth gap. Racial differences in income, stock ownership, and business ownership account for much of the explained racial wealth gap. Moreover, compared with whites, African Americans receive significantly lower wealth returns to education, age, income, stock ownership, and business ownership. We discuss the implications of our findings.     

On the computation of the noncentral <Emphasis Type="Italic">F</Emphasis> and noncentral beta distribution

Unfortunately many of the numerous algorithms for computing the comulative distribution function (cdf) and noncentrality parameter of the noncentral F and beta distributions can produce completely incorrect results as demonstrated in the paper by examples. Existing algorithms are scrutinized and those parts that involve numerical difficulties are identified. As a result, a pseudo code is presented in which all the known numerical problems are resolved. This pseudo code can be easily implemented in programming language C or FORTRAN without understanding the complicated mathematical background. Symbolic evaluation of a finite and closed formula is proposed to compute exact cdf values. This approach makes it possible to check quickly and reliably the values returned by professional statistical packages over an extraordinarily wide parameter range without any programming knowledge. This research was motivated by the fact that a very useful table for calculating the size of detectable effects for ANOVA tables contains suspect values in the region of large noncentrality parameter values compared to the values obtained by Patnaik’s 2-moment central-F approximation. The cause is identified and the corrected form of the table for ANOVA purposes is given. The accuracy of the approximations to the noncentral-F distribution is also discussed. The authors wish to thank Mr. Richárd Király for his preliminary work. The authors are grateful to the Editor and Associate Editor of STCO and the unknown reviewers for their helpful suggestions.