Modeling the Impact of Genetics on Insurance

The role of probabilistic models in the debate over genetics and insurance is discussed. A Markov model is used to show that, under quite extreme assumptions, adverse selection in life insurance ought to be controllable. The statistical problems of estimating small differences in mortality are discussed; these might limit the use of many genetic disorders as rating factors. The influence of the insurance industry on policy-making, especially through its support of research, is discussed. It is suggested that participating contracts are suitable and simple vehicles to carry the genetic risks in life insurance.     

Adult Polycystic Kidney Disease and Insurance

Abstract

Adult Polycystic Kidney Disease (APKD) is a single-gene autosomal dominant genetic disorder leading to end-stage renal disease (ESRD, meaning kidney failure). It is associated with mutations in either of two genes, APKD1 and APKD2, and although diagnosis is still mostly by ultrasonography rather than DNA-based tests, this may change in the future. Recent studies have shown that the rates of onset of ESRD associated with APKD1 mutations are much greater than those associated with APKD2 mutations, a form of genetic heterogeneity that differs from, for example, familial breast cancer. In this paper we model the the impact of mutations in APKD1 or APKD2 on critical illness insurance, extending the work of Gutiérrez and Macdonald (2003), which was based on studies predating DNA-based tests. We then extend the model to life insurance and show that the financial impact is strongly dependent on the availability of treatment (dialysis and transplant), but that if it is available, extra premiums for life insurance are modest. We show that genetic heterogeneity introduces a novel problem, because carrying an APKD2 mutation is less risky than having a family history of APKD. Thus, in jurisdictions where family history may be used in underwriting but genetic tests may not, it may be illegal to use knowledge that benefits the applicant.     

A note on the psychometric properties of the Learning Styles Questionnaire (LSQ)

The objective of this study is to examine some psychometric properties of Honey and Mumford's (1992 The Manual of Learning Styles. Maidenhead: Peter Honey) Learning Styles Questionnaire (LSQ) and therefore its potential utility for accounting education research. Prior research in other cognate disciplines (managers; US business undergraduates) suggests that the LSQ may be preferable to Kolb's Learning Style Inventory (LSI) and Revised LSI. However, little measurement information exists regarding the application of the LSQ in higher education. The present study uses samples of undergraduate accounting students (N = 127) at a UK university. Evidence of only modest internal consistency reliability is reported. The construct validity of the scores produced by the instrument is not supported by the results of the present study. Limitations and implications for the use of the LSQ by accounting education researchers are discussed.     

Psychometric methods in accounting education: a review,some comments and implications for accounting education researchers

Psychometric instruments are widely used in accounting education research (Herring et al., Issues in Accounting Education, 4(1), 48–57, 1989; Benke and Street, Accounting Education: an international journal, 1(1), 33–45, 1992). Problems with the reliability of scores produced by such instruments have led to difficulties in interpreting the results of applied research (Schriesheim et al., Journal of Management, 19, 385–417, 1993). This paper has three aims. The first is to present a rationale for including information about the measurement properties of research instruments used in published accounting education research. Information regarding the reliability and validity of item scores is useful to readers, journal editors and reviewers - especially when the research topic addresses changes in educational policy and processes. Second, problems encountered with questionnairebased research are presented and current practice in accounting education is reviewed. Third, construct validation is discussed in respect of measurement validity and factor analytic methods. The paper concludes with suggestions for improving contemporary practice in accounting education research.     

On the optimal mix of patent instruments

A special characteristic of the patent system is that it features multiple patent-policy levers that can be employed by policymakers. In this note, we develop an R&D-based growth model to analyze the optimal mix of patent instruments by considering patent breadth and the division of profit in research joint ventures. Our results are as follows. First, we analytically derive the optimal mix of patent breadth and the profit-division rule. Then, we calibrate the model to quantitatively evaluate the welfare gain from optimizing both patent instruments versus optimizing only patent breadth. We find that the welfare gain can be quantitatively significant.     

Accounting and business students’ approaches to learning: A longitudinal study

This study reports the results of an investigation into the learning approaches of undergraduate accounting and business students from three universities in Ireland who were exposed to a learning environment, namely the case study method, which aimed to encourage a deep approach to learning. In order to assess the effectiveness of the intervention, the ASSIST research instrument was used to investigate changes in students’ approaches to learning over time. Consistent with previous research, this study considers whether gender is related to students’ approaches to learning over time and if there are differences between students majoring in accounting or business in their approaches to learning. The results of the study indicate that the case study intervention was successful in some respects. However, contrary to expectations, an overall statistically significant increase in students’ surface approach to learning was found. Additionally, it is reported that changes in students’ approaches to learning over time are not associated with gender or degree program. The results of this study offer insights to accounting educators developing educational interventions to encourage deep approaches to learning.     

The Valley of Death as Context for Role Theory in Product Innovation

The purpose of this paper is to define and explain the front end of product innovation as a discrete segment of development between research and product development. The Valley of Death is used as a metaphor to describe the relative lack of resources and expertise in this area of development. The metaphor suggests that there are relative more resources on one side of the valley in the form of research expertise and on the other side by commercialization expertise and resources. Within this valley a set of interlocking roles are examined that move projects from one side to the other. The empirical methodology used in this study gathered data from 272 Product Development & Management Association (PDMA) members with extensive experience in the front end of product development using a Web‐based survey instrument. Extensive pretests with experienced practitioners were conducted to develop the instrument. Results indicate that significant development takes place before projects enter into a firm's formal product development process. The data also support the roles of champion, sponsor, and gatekeeper as major actors that work together to develop and promote projects for introduction into the formal process. Champions make the organization aware of opportunities by conceptualizing the idea and preparing business cases. Sponsors support the development of promising ideas by providing resources to demonstrate the project's viability. Gatekeepers set criteria and make acceptance decisions. The data also reveal a dynamic interdependence between role players. It is concluded that the Valley of Death is a productive tool for identifying and understanding a critical area of development that has not been adequately addressed. This research finds a dynamic interplay between roles to accomplish tasks that are not well understood in practice or the literature. The implications of this research are far‐ranging. It suggests that companies must understand the challenges in the valley, must develop the skills, and must make resources available to master the front end of product innovation. Recognizing roles, providing resources, and establishing expectations and accountability in this area of development become manageable in light of these results. Theoretically, this research informs role theory of a dynamic set of relationships previously treated as static. It also empirically investigates an area of product development where there is limited data. This paper opens profitable inquiries by focusing on an area of development not adequately researched yet drives the activities and investment made in subsequent steps of product development.     

Dairy disaggregation and joint production in an economy‐wide model*‡

We examine the impact of dairy disaggregation and joint production on trade liberalisation outcomes in an economy‐wide model. Depending on parameterisation, our model includes either (i) a single dairy commodity, (ii) several dairy commodities without joint production or (iii) several dairy commodities with joint production. In a numerical application, we consider the removal of US tariffs on dairy exports from New Zealand (the world’s largest dairy exporter). We show that failing to account for joint production when dairy commodities are disaggregated leads to misleading results. Our preferred dairy production function differs from those used in other applied trade models. Our analysis can be used to determine when accounting for joint production in other sectors is important.