A Model for Planning Resource Requirements in Health Care Organizations

In this paper we present a general model and solution methodology for planning resource requirements (i.e., capacity) in health care organizations. To illustrate the general model, we consider two specific applications: a blood bank and a health maintenance organization (HMO). The blood bank capacity planning problem involves determining the number of donor beds required and determining the size of the nursing and support staff necessary. Capacity must be sufficient to handle the expected number of blood donors without causing excessive donor waiting times. Similar staff, equipment, and service level decisions arise in the HMO capacity planning problem. To determine resource requirements, we develop an optimization/queueing network model that minimizes capacity costs while controlling customer service by enforcing a set of performance constraints, such as setting an upper limit on the expected time a patient spends in the system. The queueing network model allows us to capture the stochastic behavior of health care systems and to measure customer service levels within the optimization framework.     

Relative Economic Position and Subjective Well-Being in a Poor Society: Does Relative Position Indicator Matter?

Concern for relative income (or status in general) may have important implications for poverty and individual well-being. This paper examines the impact of relative economic position on individual’s level of well-being among poor communities in rural Ethiopia. The analysis uses a self-reported measure of overall life-evaluation as a measure of individual well-being. Despite the fact that well-being is multidimensional, the impact of non-money metric measures of relative economic position on individual well-being has not been given a lot of attention in the literature. In this study, relative economic position is measured using consumption data, asset index, and respondent’s own perception of relative wealth. The asset index captures the non-monetary dimensions of economic welfare, including education, physical assets, and social capital. We use data from the 2004 and 2009 waves of the Ethiopia Rural Household Survey and employ a multilevel modelling technique to account for individual and group level heterogeneity in our empirical analysis. We find no significant relationship between individual well-being and relative economic position measured with in consumption terms. In contrast, we do find a significant negative impact of relative position on individual well-being when we use asset indices and respondent’s own perception of relative wealth to measure relative economic position. Our findings suggest that when individuals compare themselves with others, they evaluate various aspects of their life, including their financial conditions, asset holdings, and social relations, which are hardly captured by consumption or income data in many poor countries.     

Mother–Adolescent Conflict Interaction Sequences: The Role of Maternal Internalizing Problems

Adaptive mother–adolescent conflict interactions are characterized by the ability to move from negative to positive emotions. The current micro‐observational study investigated how mothers and adolescents make transitions between positive, neutral and negative emotions and whether these transitions depend on maternal internalizing problems. We used three annual waves of conflict interaction observations among 102 mother–adolescent dyads. Mothers were more likely than adolescents to initiate positivity after negativity whereas adolescents were more likely than mothers to reciprocate negativity. Mothers high and low in internalizing problems were equally likely to drive transitions toward positivity. Our study indicates that an active role of mothers in regulating negativity toward positivity is desirable because adolescents are likely to maintain dysfunctional interaction patterns of rigid negativity.     

Audience success or art for art's sake? Efficiency evaluation of dance companies in the United States

Our aim is to evaluate the performance of American dance companies, considering that the production process may be subdivided into consecutive stages consisting of fundraising, artistic production, and social impact. A three‐stage network‐Data Envelopment Analysis model is applied which takes account of the links between stages in the form of intermediate inputs/outputs and provides an overall indicator of efficiency together with partial performance indicators in the stages. Given the lack of information for some variables, we previously undertook a process to impute missing values following MICE (multiple imputation by chained equations) procedures. Results show that the highest levels of efficiency are achieved during the cultural creation stage, whereas the lowest correspond to social impact, indicating that dance companies pursue artistic excellence in their cultural programming, irrespective of their activity's commercial outcomes. Moreover, public and private funds are seen to be channeled following this guideline, thereby justifying the non‐profit status of these entities.     

Power in and around nonprofit boards: A neglected dimension of governance

In this article we propose five patterns of board governance based on the distribution of power in and around boards of nonprofit organizations. The typology proposed grew out of our findings in in-depth case studies in which the dispersion of power became the critical variable for making sense of the patterns of governance observed. These governance patterns were then incorporated into a survey of boards in the voluntary sector. We present the results of this latter phase of the research by focusing on the associations between the five patterns and the background characteristics of board members, organizational and environmental variables, and board and organizational effectiveness. The results of the study suggest that power is an important while largely neglected aspect of board governance in the not-for-profit sector.     

Pareto's compensation principle

Pareto is sometimes credited with an early formulation of the ill-fated Hicks or Kaldor principles of hypothetical compensation. The basis for this claim is Pareto's 1894 article “Il massimo di utilità dato dalla libera concorrenza.” However in that paper Pareto argued to the contrary, that in the formulation of economic policy compensation should be a consideration only if it is carried out. Our purpose is to document this claim. Received: 2 October 1997/Accepted: 16 March 1998     

Evaluation of asymptotic approximations for a two-stage Bernoulli bandit

We consider a two-stage procedure for allocating two treatments to yield a total of N dichoto-mous responses, where one of the treatments has a known probability of success. In the first stage, observations may be made on either of the treatments and observed successes are discounted by a factor β. One of the treatments must be chosen for the second stage, where observed successes are no longer discounted. We adopt a Bayesian approach and develop a continuous time approximation for this problem that turns out to be identical to one developed in Petkau (J. Amer. Statist. Assoc. 73 (1978) 328). Examination of both stopping boundaries and Bayes risks demonstrates that suboptimal strategies provided by the solution of the continuous time problem are excellent approximations to the optimal strategies for the discrete time problem. A “continuity correction” developed by Cheroff and Petkau (Ann. Probab. 4 (1976) 875) plays an important role in enhancing the naive approximation provided by the solution of the continuous time problem.     

Robust weighted likelihood estimators with an application to bivariate extreme value problems

The authors achieve robust estimation of parametric models through the use of weighted maximum likelihood techniques. A new estimator is proposed and its good properties illustrated through examples. Ease of implementation is an attractive property of the new estimator. The new estimator downweights with respect to the model and can be used for complicated likelihoods such as those involved in bivariate extreme value problems. New weight functions, tailored for these problems, are constructed. The increased insight provided by our robust fits to these bivariate extreme value models is exhibited through the analysis of sea levels at two East Coast sites in the United Kingdom.