À l'école de la détention : quelques aspects de la socialisation professionnelle des surveillants de prison

Their first period of training in penitentiaries provided an opportunity for studying the occupational socialization of French prison wardens. Although the latter soon learn certain aspects of life behind the bars, their talk manifests a mistrust of both the training situation and prison in general. By combining class work outside the detention center and experiences with handling inmates inside, this training presents new recruits with the contradictory admonitions of trainers and corrections officers. A double bind thus complicates learning this trade: whether to follow suggestions about imposing order or to negotiate; whether to accept the penitentiary method or, like the others, consider it to be inefficient or even dangerous. This occupational socialization spawns dilemmas and contradictions; it does not peacefully transmit a predefined occupational role.     

Fully efficient estimation of coefficients of correlation in the presence of imputed survey data

Marginal imputation, that consists of imputing items separately, generally leads to biased estimators of bivariate parameters such as finite population coefficients of correlation. To overcome this problem, two main approaches have been considered in the literature: the first consists of using customary imputation methods such as random hot‐deck imputation and adjusting for the bias at the estimation stage. This approach was studied in Skinner & Rao 2002 . In this paper, we extend the results of Skinner & Rao 2002 to the case of arbitrary sampling designs and three variants of random hot‐deck imputation. The second approach consists of using an imputation method, which preserves the relationship between variables. Shao & Wang 2002 proposed a joint random regression imputation procedure that succeeds in preserving the relationships between two study variables. One drawback of the Shao–Wang procedure is that it suffers from an additional variability (called the imputation variance) due to the random selection of residuals, resulting in potentially inefficient estimators. Following Chauvet, Deville, & Haziza 2011 , we propose a fully efficient version of the Shao–Wang procedure that preserves the relationship between two study variables, while virtually eliminating the imputation variance. Results of a simulation study support our findings. An application using data from the Workplace and Employees Survey is also presented. The Canadian Journal of Statistics 40: 124–149; 2012 © 2011 Statistical Society of Canada     

The metabolism of change

A flood of new technologies is engulfing health care. Adopting them can be magical, or horrifically problematic. Yet few institutions have any real, routine process for thinking about them. There are four essential actions an organization must take to explore this fascinating, confusing world of high technology.     

Logrolling and a McGarvey theorem for separable tournaments

In this note we prove a McGarvey theorem for the family of Separable Tournaments. This family arises in the analysis of Logrolling and Vote Trading in Committees.     

Liquidity in Asset Markets With Search Frictions

We develop a search‐theoretic model of financial intermediation in an over‐the‐counter market and study how trading frictions affect the distribution of asset holdings and standard measures of liquidity. A distinctive feature of our theory is that it allows for unrestricted asset holdings, so market participants can accommodate trading frictions by adjusting their asset positions. We show that these individual responses of asset demands constitute a fundamental feature of illiquid markets: they are a key determinant of trade volume, bid–ask spreads, and trading delays—the dimensions of market liquidity that search‐based theories seek to explain.