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This paper aims to identify the more accurate method of estimating a firm’s degree of operating leverage (DOL) between two popular DOL estimation techniques: that proposed by Mandelker and Rhee (M&R), and that proposed by O’Brien and Vanderheiden (O&V).

O’Brien and Vanderheiden argue that M&R measure growth in operating earnings relative to the growth in sales rather than DOL. The authors estimate the relative growth estimate, RGE, from the O&V technique (operating earnings growth rate/sales growth rate) and compare this with the DOL estimates from the M&R technique to see if they are similar.

The authors find that the DOL estimates from the M&R method are indistinguishable from the relative growth estimates from the O&V method, providing the first direct evidence that O&V’s critique is correct. The M&R DOL estimates primarily measure the growth in operating earnings relative to the growth in sales, not DOL.

A firm’s DOL is a determinant of its common stock’s systematic risk, which determines a firm’s equity cost of capital. The equity cost of capital is a fundamental part of capital budgeting, capital structure and stock price analysis. Accurately estimating a firm’s DOL is important to researchers and corporate financial managers. Existing diversity in DOL estimation techniques raises questions about the validity of various techniques and limits comparability of existing studies. This paper demonstrates why the O&V technique should be used in place of the M&R method.

Recently, we (Judiesch, Schmidt, & Mount, 1992) concluded that the Schmidt et al. (1979) SDy estimation procedure results in downwardly biased estimates of utility. This conclusion led us to propose a modification of the Schmidt et al. method that involves estimating SDy as the product of estimates of the coefficient of variation (SDy/ Y) and an objective estimate of the average value of employee output (Y). The present article reviews the rationale underlying our conclusion that this modification of the Schmidt et al. method of estimating SDy results in more accurate estimates of SDy, and hence, utility.

This paper is a summary of a successfully defended doctoral dissertation. The purpose of this paper is to place this research in context to emerging areas of project management and service science, management and engineering and to encourage others to embark on further research related to this important topic.

Results reported in this paper were based upon action learning from research in which a project management tool for estimating deployment cost was developed by capturing the knowledge of subject matter experts (SMEs) and subsequently tested against projects from various geographic areas.

There were two primary findings. A development and analysis of the conceptual estimating framework supports the assertion that the use of the framework provides an awareness of the project that may not otherwise be observed or, at best, would be observed later in the life of the project and potentially addressed at a higher cost. A strong association has been found between the conceptual estimate produced by the comprehensive framework and the conceptual estimate produced manually through the use of SMEs.

From academic perspective, the synthesis of technology management, business processes, and the conceptual estimating framework enhances the body of knowledge of project management. For practical applications, the method and framework employed can be utilized to build functioning conceptual estimating tools for deployment, which can lead to cost savings during the estimating process and, as this study surmises, will lead to more effective project management, control, and implementation.

Perceptions of trust have been identified as an important element in the risk communication process. This research is concerned with establishing the degree of trust the general public has in various possible sources of information about the health effects associated with consuming genetically modified food. Participants were asked directly about the degree to which they would trust information about the health effects associated with consuming genetically modified food from a variety of sources, including a fictitious source included as a control. They were also asked about the degree to which they believed each source had a vested interest in misinforming the public about the possible health effects associated with such consumption, and the degree of knowledge they believed each source had about any possible health effects. The results indicate that perceptions of “vested interest” and “degree of knowledge” are important elements in determining levels of trust, although probably not exhaustive. Furthermore, that younger consumers are likely to be the most responsive audience for risk information, but general audience response to risk information is likely to be influenced by preconceptions about the source of the information, preconceptions that can be derived entirely from the name of the information source.

This study compared per selectee utility estimates for the job of medical claims examiner based on applications of the Brogden‐Cronbach‐Gleser (BCG) and Raju‐Burke‐Normand (RBN) utility analysis models. The RBN model's per selectee utility estimate, based on a transformed observed performance rating standard deviation (σR), was closest to the per selectee utility estimate computed with an empirically‐derived σY value. The implications of these results for estimating human resource program utility are discussed.

Currently, the state of practice in experimental design centres on orthogonal designs (Alpizar et al., 2003), which are suitable when applied to surveys with a large sample size. In a stated choice experiment involving interdependent freight stakeholders in Sydney (see Hensher & Puckett, 2007; Puckett et al., 2007; Puckett & Hensher, 2008), one significant empirical constraint was difficult in recruiting unique decision-making groups to participate. The expected relatively small sample size led us to seek an alternative experimental design. That is, we decided to construct an optimal design that utilised extant information regarding the preferences and experiences of respondents, to achieve statistically significant parameter estimates under a relatively low sample size (see Bliemer & Rose, 2006).

The D-efficient experimental design developed for the study is unique, in that it centred on the choices of interdependent respondents. Hence, the generation of the design had to account for the preferences of two distinct classes of decision makers: buyers and sellers of road freight transport. This paper discusses the process by which these (non-coincident) preferences were used to seed the generation of the experimental design, and then examines the relative power of the design through an extensive bootstrap analysis of increasingly restricted sample sizes for both decision-making classes in the sample. We demonstrate the strong potential for efficient designs to achieve empirical goals under sampling constraints, whilst identifying limitations to their power as sample size decreases.

Purpose: We estimate national health expenditures on prevention using precise definitions, a transparent methodology, and a subdivision of the estimates into components to aid researchers in applying their own concepts of prevention activities.

Methodology/Approach: We supplemented the National Health Expenditure Accounts (NHEA) with additional data to identify national spending on primary and secondary prevention for each year from 1996 to 2004 across eight spending categories.

Findings: We estimate that NHEA expenditures devoted to prevention grew from $83.2 billion in 1996 to $159.8 billion in 2004, in current dollars. As a share of NHEA, this represents an increase from 7.8 percent in 1996 to 8.6 percent in 2004. This share peaked at 9 percent in 2002 and then declined due to reductions in public health spending as a percent of NHEA between 2002 and 2004. Primary prevention represents about half the expenditures, consisting largely of public health expenditures – the largest prevention element.

Originality/Value of Paper: Our 2004 estimate that 8.6 percent of NHEA goes to prevention is nearly three times as large as the commonly cited figure of 3 percent, but depends on the definitions used: our estimate falls to 8.1 percent when the research component is excluded, 5.1 percent when consideration is limited to primary prevention plus screening, 4.2 percent for primary prevention alone, and 2.8 percent if we count only public health expenditures. These findings should contribute to a more informed discussion of our nation's allocation of health care resources to prevention.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

Job Corps is the United State’s largest and most comprehensive training program for disadvantaged youth aged 16–24 years old. A randomized social experiment concluded that, on average, individuals benefited from the program in the form of higher weekly earnings and employment prospects. At the same time, “young adults” (ages 20–24) realized much higher impacts relative to “adolescents” (ages 16–19). Employing recent nonparametric bounds for causal mediation, we investigate whether these two groups’ disparate effects correspond to them benefiting differentially from distinct aspects of Job Corps, with a particular focus on the attainment of a degree (GED, high school, or vocational). We find that, for young adults, the part of the total effect of Job Corps on earnings (employment) that is due to attaining a degree within the program is at most 41% (32%) of the total effect, whereas for adolescents that part can account for up to 87% (100%) of the total effect. We also find evidence that the magnitude of the part of the effect of Job Corps on the outcomes that works through components of Job Corps other than degree attainment (e.g., social skills, job placement, residential services) is likely higher for young adults than for adolescents. That those other components likely play a more important role for young adults has policy implications for more effectively servicing participants. More generally, our results illustrate how researchers can learn about particular mechanisms of an intervention.

Several studies find that there is little sex gap in wages at labor market entry, and that the sex gap in wages emerges (and grows) with time in the labor market. This evidence is consistent with (i) there is little or no sex discrimination in wages at labor market entry, and (ii) the emergence of the sex gap in wages with time in the labor market reflects differences between women and men in human capital investment (and other decisions), with women investing less early in their careers. Indeed, some economists explicitly interpret the evidence this way. We show that this interpretation ignores two fundamental implications of the human capital model, and that differences in investment can complicate the interpretation of both the starting sex gap in wages (or absence of a gap), and the differences in “returns” to experience. We then estimate stylized structural models of human capital investment and wage growth to identify the effects of discrimination (or other sources of a starting pay gap) and differences in human capital investment.