Bank Loan Officers' Perceptions of Business Owners: The Role of Gender

There is a widely held belief that banks may be discriminating against female business owners. This study was designed to explore the perceptions held by bank loan officers of male and female business owners, using Bourdieu's theory of practice and Kelly's personal construct methodology. The research literature might lead to an expectation that the characteristics of the business owners would be relatively homogenous but that men and women business owners would be construed differently (for example women might be seen to lack drive). However, the results demonstrate heterogeneity in the constructs held by bank loan officers, and a particular concern with the character of the business owner. Significant gender differences were observed in only 20 of the 325 constructs elicited from 35 bank loan officers. Female bank loan officers were as likely as male bank loan officers to draw gender distinctions between business owners. Detailed multivariate analyses confirmed no evidence of systematic gender differences in the constructs held by bank loan officers of business owners.     

Multi-attribute utility methods in group decision making: Past applications and potential for inclusion in GDSS

This paper reviews a variety of studies in which multi-attribute utility theory (MAU) has been used successfully to aid group decision processes and discusses the incorporation of MAU in Group Decision Support Systems (GDSS). GDSS of various levels of automation have been proposed to aid group decision making. A number of commercial GDSSs are available which are capable of aiding generation of alternatives, their evaluation, and selection. Many authors have promoted the incorporation of quantitative decision making models in GDSS. The most appropriate quantitative tool for GDSS is MAU, but MAU has rarely been utilized. The cases reviewed illustrate that the use of MAU techniques is not prohibitively difficult or complex.     

PERMUTATION MODELS FOR RELATIONAL DATA

A common problem in sociology, psychology, biology, geography, and management science is the comparison of dyadic relational structures (i.e., graphs). Where these structures are formed on a common set of elements, a natural question that arises is whether there is a tendency for elements that are strongly connected in one set of structures to be more—or less—strongly connected within another set. We may ask, for instance, whether there is a correspondence between golf games and business deals, trade and warfare, or spatial proximity and genetic similarity. In each case, the data for such comparisons may be continuous or discrete, and multiple relations may be involved simultaneously (e.g., when comparing multiple measures of international trade volume with multiple types of political interactions). We propose here an exponential family of permutation models that is suitable for inferring the direction and strength of association among dyadic relational structures. A linear-time algorithm is shown for MCMC simulation of model draws, as is the use of simulated draws for maximum likelihood estimation (MCMC-MLE) and/or estimation of Monte Carlo standard errors. We also provide an easily performed maximum pseudo-likelihood estimation procedure for the permutation model family, which provides a reasonable means of generating seed models for the MCMC-MLE procedure. Use of the modeling framework is demonstrated via an application involving relationships among managers in a high-tech firm.     

Advancing an ethical framework for long-term care

This article represents an effort to formulate an ethical framework for long-term care with the explicit purpose of providing a catalyst to promote further discourse and expand consideration of what an ethic of long-term care might entail. Grounding the discussion, an introduction to traditional ethical philosophy is presented, focusing mainly on the fundamentals of deontological and teleological ethical theories. Attention then shifts to a review of the more frequently cited principles found in the long-term care ethics literature, followed by a critique of the current reliance upon principlism to resolve ethical dilemmas in long-term care. In response to this criticism, an agent-driven ethical framework stressing dignity and respect for personhood, drawn from the philosophy of Immanuel Kant, is advanced.     

Mothers' and Fathers' Use of Internal State Talk with their Young Children

The present study extends previous results demonstrating a relation between maternal discourse and child social understanding to include paternal discourse. Emotion understanding (EU) and theory of mind (ToM) were considered as two distinctive aspects of social understanding. Participants were 106 children (54 boys and 52 girls) studied at 3.5 and 5 years. Discourse measures came from separate parent–child conversations during a picture‐book task; measures of EU and ToM came from children's performance on social cognition tasks. Differences in parental talk translated into important differences in the influence of each parent on children's social‐cognitive understanding. Mothers' references to emotion and emotion causal explanatory language predicted children's concurrent EU. Fathers' use of causal explanatory language referring to desires and emotions predicted children's concurrent and later ToM. These results highlight important differences between mothers and fathers in their use of internal state language and its impact on children's social‐cognitive understanding.     

Social capital and the reproduction of economic inequality in polarized societies

This paper explores the idea that the distribution of wealth across social groups fundamentally affects the evolution of economic inequality. By providing microfoundations suitable for this exploration, this paper hopes to enhance our understanding of when social forces contribute to the reproduction of economic inequality. In tackling this issue, this paper offers contributions in two domains. First, it models social capital as a real capital asset with direct use and collateral values. Second, it extends the concepts of identity, alienation and polarization originally advanced by Esteban and Ray (Esteban, J.M. and Ray, D.: On the measurement of polarization, Econometrica 62(4) (1994), 819–851). This generalization permits us to consider the multiple characteristics that shape social identity, inclusion and exclusion. It also underwrites a higher-order measure of socio-economic polarization that permits us to explore the hypothesis that economic inequality is most pernicious and persistent when it is socially embedded. Holding constant the initial levels of economic polarization and wealth inequality, we show that higher socio-economic polarization increases subsequent income and wealth inequality. Far from being a distributionally neutral panacea for missing markets, social capital in this model may itself generate exclusion and deepen existing economic cleavages.     

Adaptation to Retirement: Role Changes and Psychological Resources

In this review, the influence of social and work roles are incorporated into a model of retirement adjustment, along with two psychological moderators that may aid the retirement transition. These psychological resources, locus of control and retirement self-efficacy, are those behavioral predispositions that would lead one to engage in proactive strategies for mastering the role changes inherent in the retirement transition. The implications of social and work-related role changes and psychological resources for retirement planning and adjustment are discussed.     

FORECASTING U.S. MORTALITY:

This article compares two methodologies for modeling and forecasting statistical time series models of demographic processes: Box-Jenkins ARIMA and structural time series analysis. The Lee-Carter method is used to construct nonlinear demographic models of U.S. mortality rates for the total population, gender, and race and gender combined. Single time varying parameters of k, the index of mortality, are derived from these model and fitted and forecasted using the two methodologies. Forecasts of life expectancy at birth, e₀, are generated from these indexes of k. Results show marginal differences in fit and forecasts between the two statistical approaches with a slight advantage to structural models. Stability across models for both methodologies offers support for the robustness of this approach to demographic forecasting.