Battles in the costing war: UK debates, 1950-75

In the UK, 1950-75 was a lively period in the long-running debates between proponents of absorption and marginal costing. In the nexus of competing interests, management accountants advocated and defended rival costing systems with much vigour and passion. Expressed in the language of the times, these debates were 'battles' in the costing 'war'. We focus on these battles, analysing the various forces that operated upon the combatants, and locate them in the wider costing war. We conclude that no final resolution of the conflict was achieved in the twentieth century, nor is one likely in the foreseeable future.     

True and Fair — An Imaginary View

The recent collapses of major Australian corporations and the human and economic consequences have emphasised the need for a new approach to auditing in Australia to fix the culture of complacency. The challenge is to continue to persuade directors, auditors and ASIC to better understand what the law requires, and to pressure government to create the conditions to ensure that ASIC undertakes appropriate enforcement.     

Intertemporal Substitution and Terms-of-Trade Shocks

The paper examines the relationship between transitory terms‐of‐trade shocks and private saving. Using a model allowing for nonseparability between the consumption of tradables and nontradables, the paper estimates the intertemporal elasticity of substitution while accounting for the intratemporal elasticity of substitution between the consumption of tradables and nontradables. Empirical analysis of data for five industrial countries indicates that in response to transitory terms‐of‐trade shocks, intertemporal substitution of consumption and intratemporal substitution of consumption between tradables and nontradables both have large effects on private saving.     

Effect Sizes in Qualitative Research: A Prolegomenon

The American Psychological Association Task Force recommended that researchers always report and interpret effect sizes for quantitative data. However, no such recommendation was made for qualitative data. Thus, the first objective of the present paper is to provide a rationale for reporting and interpreting effect sizes in qualitative research. Arguments are presented that effect sizes enhance the process of verstehen/hermeneutics advocated by interpretive researchers. The second objective of this paper is to provide a typology of effect sizes in qualitative research. Examples are given illustrating various applications of effect sizes. For instance, when conducting typological analyses, qualitative analysts only identify emergent themes; yet, these themes can be quantitized to ascertain the hierarchical structure of emergent themes. The final objective is to illustrate how inferential statistics can be utilized in qualitative data analyses. This can be accomplished by treating words arising from individuals, or observations emerging from a particular setting, as sample units of data that represent the total number of words/observations existing from that sample member/context. Heuristic examples are provided to demonstrate how inferential statistics can be used to provide more complex levels of verstehen than is presently undertaken in qualitative research.     

Density estimation in the uniform deconvolution model

We consider the problem of estimating a probability density function based on data that are corrupted by noise from a uniform distribution. The (nonparametric) maximum likelihood estimator for the corresponding distribution function is well defined. For the density function this is not the case. We study two nonparametric estimators for this density. The first is a type of kernel density estimate based on the empirical distribution function of the observable data. The second is a kernel density estimate based on the MLE of the distribution function of the unobservable (uncorrupted) data.     

数据管理:电子商务数据的存储问题

许多情况说明，用于组织中数据存储的消费已经成爆炸状态。产生这种情况的主要因素是电子邮件和电子商务对数据的质量和数量的要求提高了，并且这种数据大部分是分散的、非结构性的，这就增加了对组织中数据管理的要求。本文是在澳大利亚进行的一次调查的基础上做出的，该调查是关于组织中如何处理数据增长和由于数据增长所带来的问题。调查的结果显示人们对该问题表现出高度的关注，同时显示出一种乐观的趋势，即技术将对未来出现的各种各样的问题提供解决方案。