Bending the bars of the iron cage: Bureaucratization and informalization in capitalism and socialism

Despite some important similarities, capitalism's informal economy and socialism's second economy are not functional equivalents or structural counterparts. An informal economy is the product of efforts to circumvent accountability to the explicit rationalizations of regulatory bureaucratization. It operates according to principles disparate from those of the rules of internal labor markets but congruent with the market principles that coordinate the formal economy. In the centrally planned economies of state socialism where informalization responds to the contradictions of redistributive bureaucratization, the embryonic market relations of the second economy are incongruent with the bureaucratic principles that coordinate the formal economy, and in fact, stimulate the institutionalization of transactive market relations and the expansion of property rights inside the socialist enterprise. As a sphere of activity relatively autonomous from the state, the second economy is a source of fundamental change remaking the economic institutions of socialism.     

Robustness estimators of location:a classification of linear and adaptive estimators

Real-world data sets may be described in terms similar to trauma cases- 'messy' with 'high morbidity'. Alternative estimators to the traditional mean are examined via a simulation study over a wide range of both symmetric and asymmetric distributions. These alternative estimators are data depenmdent and, in most cases, represent data far better than the usual mean. Princeton and post-Princeton linear and adaptive estimators of location are summarized, and a classification scheme based on an ancillary or selector statistic is proposed. The computational formulae for the collection of estimators have been standardized, as have the ancillary statistics. We classify these estimators by their computational form, give the computational formulae for each in a standardized notation, evaluate the subclass of estimators, and identify our 'winner' in that class.     

Robust Two-Sample Statistics for Testing Equality of Means: a Simulation Study

When testing the equality of the means from two independent normally distributed populations given that the variances of the two populations are unknown but assumed equal, the classical two-sample t-test is recommended. If the underlying population distributions are normal with unequal and unknown variances, either Welch's t-statistic or Satterthwaite's Approximate F-test is suggested. However, Welch's procedure is non-robust under most non-normal distributions. There is a variable tolerance level around the strict assumptions of data independence, homogeneity of variances and normality of the distributions. Few textbooks offer alternatives when one or more of the underlying assumptions are not defensible.     

Risk and Recovery: Understanding Flood Risk Perceptions in a Postdisaster City—The Case of New Orleans

Flood hazards are a serious and growing threat to the health and welfare of residents in cities and rural areas around the world. This cross-sectional study uses a sample of 383 residents living in seven New Orleans, Louisiana, neighborhoods to examine the effect of experiential, sociodemographic, and socioeconomic factors on flood risk perceptions. Findings suggest that respondents judge the level of flood risk to be lower than other types of risk. Results from ordinal logistic regression analyses show that flood risk perception is influenced by flood experience, income, race, gender, homeownership status, and years residing in New Orleans. Our findings support extant scholarship showing that African Americans tend to have higher perceptions of risk than whites and that low-income people and women have higher risk perceptions than higher income residents and men. Finally, we discuss the implications of our findings for risk management planning in coastal cities like New Orleans that face omnipresent flood threats associated with climate-change-driven sea level rise and increased frequency and destructiveness of storms.     

Crime, policing and social order: on the expressive nature of public confidence in policing

Public confidence in policing is receiving increasing attention from UK social scientists and policy-makers. The criminal justice system relies on legitimacy and consent to an extent unlike other public services: public support is vital if the police and other criminal justice agencies are to function both effectively and in accordance with democratic norms. Yet we know little about the forms of social perception that stand prior to public confidence and police legitimacy. Drawing on data from the 2003/2004 British Crime Survey and the 2006/2007 London Metropolitan Police Safer Neighbourhoods Survey, this paper suggests that people think about their local police in ways less to do with the risk of victimization (instrumental concerns about personal safety) and more to do with judgments of social cohesion and moral consensus (expressive concerns about neighbourhood stability, cohesion and loss of collective authority). Across England and Wales the police may not primarily be seen as providers of a narrow sense of personal security, held responsible for crime and safety. Instead the police may stand as symbolic 'moral guardians' of social stability and order, held responsible for community values and informal social controls. We also present evidence that public confidence in the London Metropolitan Police Service expresses broader social anxieties about long-term social change. We finish our paper with some thoughts on a sociological analysis of the cultural place of policing: confidence (and perhaps ultimately the legitimacy of the police) might just be wrapped up in broader public concerns about social order and moral consensus.     

A probability model for census adjustment

The census can be adjusted using capture‐recapture techniques: capture in the census, recapture in a special Post Enumeration Survey (PES) done after the census. The population is estimated using the Dual System Estimator (DSE). Estimates are made separately for demographic groups called post strata; adjustment factors are then applied to these demographic groups within small geographic areas. We offer a probability model for this process, in which several sources of error can be distinguished. In this model, correlation bias arises from behavioral differences between persons counted in the census and persons missed by the census. The first group may on the whole be more likely to respond to the PES: if so, the DSE will be systematically too low, and that is an example of correlation bias. Correlation bias is distinguished from heterogeneity, which occurs if the census has a higher capture rate in some geographic areas than others. Finally, ratio estimator bias and variance are considered. The objective is to clarify the probabilistic foundations of the DSE, and the definitions of certain terms widely used in discussing that estimator.     

Intersex mental health and social support options in pediatric endocrinology training programs

The birth of a child with an intersex condition is often an emotionally stressful event for parents. Preparation and ongoing support systems could be beneficial to both parents and children and would alleviate some of the shame and isolation associated with intersex conditions. To assess the extent to which psychological support is available, a short e-mail survey on this topic was sent to the directors of 50 pediatric endocrinology fellowship training programs (PEFTPs), who are most likely to evaluate and treat intersex children and their parents. Of the 29 PEFTPs that responded, 69% offer psychological support and 58% have a mental health specialist on staff. However, only 19% of patients or families receive emotional support during diagnosis and only 15% receive support after diagnosis. We found two barriers that prevent patients and families from receiving psychological help from their intersex care team. First, there is a lack of training for mental health professionals regarding the needs of intersex patients and families. Second, some families refuse help even though it is offered. This study reveals that further research is needed to overcome these two barriers regarding mental health treatment of intersex patients and families.