Accounting for Social Value in Nonprofits and For‐Profits

The authors argue that social value can serve as a bridge between the nonprofit and for‐profit sectors. They further propose that social value is not simply an abstract concept but can be measured by applying social accounting methods. The authors argue that nonprofits are founded on a social mission but that traditional accounting approaches do not properly assess their social products. They illustrate the centrality of social value, both to nonprofits and for‐profits, in two ways: (1) a discussion of for‐profit firms that behave much like nonprofits and (2) an application of the social accounting model. The authors discuss two types of firms: (1) for‐profits whose shares are held in a trust and therefore operate much like corporations without shareholdersor like nonprofits and (2) for‐profits whose owners do not exercise the rights associated with their property. They then apply a social accounting model to nonprofit employment training programs to illustrate how the inclusion of social variables changes the assessment of an organization's value. They conclude with a discussion of a social accountability framework that embraces both nonprofits and for‐profits.     

Generalized inferences on the common mean vector of several multivariate normal populations

The hypothesis testing and confidence region are considered for the common mean vector of several multivariate normal populations when the covariance matrices are unknown and possibly unequal. A generalized confidence region is derived using the concepts of generalized method based on the generalized p$p$-value. The generalized confidence region is illustrated with two numerical examples. The merits of the proposed method are numerically compared with those of existing methods with respect to their expected area or expected d-dimensional volumes and coverage probabilities under different scenarios.     

Impossibility Results for Nondifferentiable Functionals

We examine challenges to estimation and inference when the objects of interest are nondifferentiable functionals of the underlying data distribution. This situation arises in a number of applications of bounds analysis and moment inequality models, and in recent work on estimating optimal dynamic treatment regimes. Drawing on earlier work relating differentiability to the existence of unbiased and regular estimators, we show that if the target object is not differentiable in the parameters of the data distribution, there exist no estimator sequences that are locally asymptotically unbiased or α‐quantile unbiased. This places strong limits on estimators, bias correction methods, and inference procedures, and provides motivation for considering other criteria for evaluating estimators and inference procedures, such as local asymptotic minimaxity and one‐sided quantile unbiasedness.     

The need for research into the effectiveness of international statistical systems and standards

Conclusion In this brief and highly selective examination of the adequacy of ISSS, it is suggested that statistical and economic research is essential if we are to ensure that these systems are fit for their intended purposes. It is too readily assumed that the statistical infrastructure is either adequate or, if not, of little significance in dealing with the major problems faced by the world today. This is far from being so and, if the necessary research were carried out, the results could make an invaluable contribution to resolving many of those problems.     

Concern About Crime Among Montana Farmers and Ranchers1

Abstract The effects of previous victimization, distance from law enforcement and neighbors, and sufficiency of police patrols on fear of crime are estimated using data from Montana farmers and ranchers. Victimization has the strongest direct effect. Distance from police and neighbors seems to heighten sensitivity to lesser police patrol activity in isolated areas, which in turn increases concern about criminal victimization. Fear of crime in rural farm areas reflects, in part, the spatial arrangements and related consequences of living in these regions.     

The ethics of parimutuel systems

One strand of the moral case for the superiority of parimutuel systems of betting over bookmaking emphasises that, as the name implies, the bettors are betting amongst themselves and that there is no discrimination against any individual bettor or groups of bettors. This claim is undermined by three deviations from the pure parimutuel principle found in many systems. Given that there is a close inverse relationship between the income/wealth of bettors and the average odds of the bets they place, the three deviations—higher deductions from long odds (exotic) pools, higher deductions from pools when longer odds horses win and the paying of minimum dividends—each move a parimutuel system in the unethical direction ofregressive taxation.     

The attributable estimand: A new approach to account for intercurrent events

The term “intercurrent events” has recently been used to describe events in clinical trials that may complicate the definition and calculation of the treatment effect estimand. This paper focuses on the use of an attributable estimand to address intercurrent events. Those events that are considered to be adversely related to randomized treatment (eg, discontinuation due to adverse events or lack of efficacy) are considered attributable and handled with a composite estimand strategy, while a hypothetical estimand strategy is used for intercurrent events not considered to be related to randomized treatment (eg, unrelated adverse events). We explore several options for how to implement this approach and compare them to hypothetical “efficacy” and treatment policy estimand strategies through a series of simulation studies whose design is inspired by recent trials in chronic obstructive pulmonary disease (COPD), and we illustrate through an analysis of a recently completed COPD trial.     

Accounting for the value of volunteer contributions

There is a need for an accounting paradigm that properly illustrates the value that nonprofits generate. Much of that value comes from volunteer contributions, which are significant but for the most part are not included in financial accounting statements, even though our research indicates that they account for almost a third of the value added by these organizations. This article reports the results of two studies related to measuring volunteer value in the accounting of nonprofits and then draws some policy implications from the research. The first study, a survey of 156 nonprofits in Canada, found that although about one‐third of the sample kept records of volunteer hours, only 3 percent included a value for them in their accounting statements. The second study, of nonprofit accountants, found that they did not feel that financial accounting statements properly represented the contribution of their organizations. A series of policy recommendations are presented, including suggestions for revising the regulations of accounting bodies for imputing volunteer value and creating accounting statements that better represent the contribution of nonprofits.     

Relative Risk Aversion: What Do We Know?

The relative risk aversion measure that represents the risk preferences of a decision maker depends on the outcome variable that is used as the argument of the utility function, and on the way that outcome variable is defined or measured. In addition, the relationship between any two such relative risk aversion measures is determined by the relationship between the corresponding outcome variables. These well-known facts are used to adjust several reported estimates of relative risk aversion so that those estimates can be directly compared with one another. After adjustment, the significant variation in the reported relative risk aversion measures for representative decision makers is substantially reduced. JEL Classification: D81