INFERENCE FOR DOMINANCE RELATIONS

The use of partial orders has been popularized as a way to conduct social evaluations using only minimal normative assumptions. Generically, this process involves comparing continuously indexed curves that are uniquely determined by the cumulative distributions of the individual attributes under study. In the literature on income poverty and inequality, for example, pairwise comparisons of entire income distributions and their respective Lorenz curves are routinely performed in order to characterize rankings of poverty, inequality, and welfare. In this article, we focus on the inferential problem that arises whenever such comparisons are made in the absence of census data. Statistical inference in these situations is particularly complex due to the fact that comparing curves invariably gives rise to four possibilities: the true population curves are equal, the first curve lies below the second, the second lies below the first, or the curves cross. To address this four‐decision problem, we introduce a two‐stage test that has good power and fine control over misclassification error rates.     

Judging the probability of a contingent loss: An empirical study*

Abstract. This paper reports the results of research in which experienced auditors interpreted the criteria of Statement of Financial Accounting Standards No. 5 (SFAS 5): Accounting for Contingencies. The research focuses on two issues: (1) the nature and degree of consensus in the auditors' interpretations, and (2) the extent to which these interpretations depend upon the type of contingent loss. Forty-five experienced auditors (managers, principals, and partners) from “Big 8” CPA firms responded to a research instrument that elicited their interpretation of SFAS 5 probability criteria. Our analysis focuses upon the thresholds between the “remote” and “reasonably possible” criteria and between the “reasonably possible” and “probable” criteria. Our results indicate: (1) threshold means of 0.16 and 0.68, respectively; (2) more auditor consensus for the first threshold than for the second; (3) the first threshold was significantly lower than indicated by previous research; and (4) the thresholds were generally not dependent upon the type of contingent loss.     

用好EVA指挥棒——EVA，一个讲实话的指标

经济增加值（EVA）被誉为20世纪末“最炙手可热的财务概念”，财经产生便受到国际上著名大公司的推崇，作为一个被称作是一个“真正能够讲实话”的指标，亦受到了中国企业的广泛关注。