The Gender Gap in Funeral Directors: Burying Women with Ready‐to‐Embalm Laws?

Over the last few decades, the gender composition of funeral directors in the United States has changed dramatically as women have entered this traditionally male‐dominated occupation. To practise as funeral directors, women (and men) must be licensed in all but one state. The most extensive training requirements exist in the 27 states with ‘ready‐to‐embalm’ laws, which require funeral directors to be embalmers. Using a sample of 45,989 licensing records from 40 states, we find that 18.1 per cent of funeral directors were women in 2006. However, the proportion is significantly lower in states with ready‐to‐embalm laws. Our regressions imply that these laws reduce the proportion of female funeral directors by 24 per cent. More generally, we find that the number of funeral directors per capita is 17 per cent lower, on average, in states with ready‐to‐embalm laws.     

Competence‐based management development in small and medium‐sized enterprises: a multi‐stakeholder analysis

Small and medium‐sized enterprises (SMEs) are considered increasingly important for economic growth (Wilson, 1995) and effective management of them is regarded as essential for their survival and success (Jennings and Beaver, 1995). This study adopted a multi‐stakeholder perspective in order to explore the promotion, via Training and Enterprise Councils (TECs); provision and (potential for) purchase of competence‐based management training and development (MTD) in the SME sector in the United Kingdom. Survey data from (551) and interviews with (12) SMEs; plus interviews (6) with TECs and interviews (29) with providers of MTD are reported. ‘Product’ deficiencies in competence‐based MTD are identified and recommendations for promotion made.     

Evaluating the potential of agent-based modelling to capture consumer grocery retail store choice behaviours

Evolving consumer behaviours with regards to store and channel choice, shopping frequency, shopping mission and spending heighten the need for robust spatial modelling tools for use within retail analytics. In this paper, we report on collaboration with a major UK grocery retailer to assess the feasibility of modelling consumer store choice behaviours at the level of the individual consumer. We benefit from very rare access to our collaborating retailers’ customer data which we use to develop a proof-of-concept agent-based model (ABM). Utilising our collaborating retailers’ loyalty card database, we extract key consumer behaviours in relation to shopping frequency, mission, store choice and spending. We build these observed behaviours into our ABM, based on a simplified urban environment, calibrated and validated against observed consumer data. Our ABM is able to capture key spatiotemporal drivers of consumer store choice behaviour at the individual level. Our findings could afford new opportunities for spatial modelling within the retail sector, enabling the complexity of consumer behaviours to be captured and simulated within a novel modelling framework. We reflect on further model development required for use in a commercial context for location-based decision-making.     

Re-Orientating Vertical Geopolitics

Geopolitics has a tradition of adopting a downward looking view-from-above, which is imbued with an imperialistic ‘god's eye’ perspective. Although acknowledged and critiqued, this paper argues that it needs to be actively re-orientated to encompass the discourses and practices of looking up. The paper analyses the practices of looking up and surveilling the sky through which air defence is achieved. It interrogates the ways in which UK air defence is represented in official documents and analyses the activities of the Royal Air Force's Air Surveillance and Control System. The paper argues that this system enacts a vertical geopolitics that goes beyond those understood in other geopolitical literatures and offers suggestions for developing our understandings of a volumetric vertical geopolitics that recognises the aerial view as generated from below as well as from above.     

Exploring the effectiveness of peer mentoring of accounting and finance students in higher education

This article explores the effectiveness of peer mentoring with accounting and finance students at the University of Dundee. The motives of such a mentoring scheme are to improve the participants' academic performance and to develop their transferable skills. In the context of this study, peer mentoring comprises third year students (mentors) mentoring first year students (mentees). Using a semi-formal tutorial setting and meetings during the latter part of the academic year, mentoring groups address issues such as academic writing skills, study techniques and examination preparation. The effects of mentoring are measured by a comparison of the pre- and post-mentoring examination performance of the mentees. In addition, focus group interviews are used to gather the opinions of the mentees and the mentors as to their impressions about the success of the project. The empirical results suggest that mentoring has had a positive effect on the academic performance of the mentees. The focus group interviews found that both the mentors and the mentees claimed to benefit significantly from their involvement in the project.     

The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)

A recent article by Krause (Qual Quant, doi:10.1007/s11135-012-9712-5, Krause (2012)) maintains that: (1) it is untenable to characterize the error term in multiple regression as simply an extraneous random influence on the outcome variable, because any amount of error implies the possibility of one or more omitted, relevant explanatory variables; and (2) the only way to guarantee the prevention of omitted variable bias and thereby justify causal interpretations of estimated coefficients is to construct fully specified models that completely eliminate the error term. The present commentary argues that such an extreme position is impractical and unnecessary, given the availability of specialized techniques for dealing with the primary statistical consequence of omitted variables, namely endogeneity, or the existence of correlations between included explanatory variables and the error term. In particular, the current article discusses the method of instrumental variable estimation, which can resolve the endogeneity problem in causal models where one or more relevant explanatory variables are excluded, thus allowing for accurate estimation of effects. An overview of recent methodological resources and software for conducting instrumental variables estimation is provided, with the aim of helping to place this crucial technique squarely in the statistical toolkit of applied researchers.     

The return from travel: a new beginning?

Within the context of the return from long-term travel, this paper uncovers the transitional and at times traumatic nature of return for 24 OE (overseas experience) travellers. Important considerations are raised in respect of easing repatriation distress among those returning from long-term travel. Contributing an understanding of the experience of return from travel, this paper proffers that return to the place one left to travel from does not necessarily mark the end of the journey. Conversely, it can mark a new beginning. As such, we argue that a broader framework for examining the travel experience is called for; notably, one that extends the examination of the travel experience to the return phase and beyond.     

Social class, family background, and intergenerational mobility

This research examines the various approaches taken by economists and sociologists for analyzing intergenerational mobility. Social mobility models based on social classes arising from an occupational classification scheme are analysed. A test for the statistical validity of classification schemes is proposed and tested using Danish sample survey data that was first collected in 1976 and augmented in 2000. This is referred to as a homogeneity test and is a likelihood ratio test of a set of linear restrictions which define social classes. For Denmark it is shown that this test fails for an Erikson-Goldthorpe classification system, raising doubts about the statistical validity of occupational classification systems in general. We also estimate regression models of occupational earnings, household earnings, and educational attainment using family background variables as covariates controlling for unobservables, measurement error, and simultaneous equation bias. In these models homogeneity tests are also rejected. We conclude from these results that the individual's family background has a small but significant impact on lifetime chances which is not captured by the Erikson-Goldthorpe classification scheme.