Adolescents Prefer More Immediate Rewards When in the Presence of their Peers

Adolescents take more risks in the presence of their peers, but the mechanism through which peer presence affects risky decision‐making is unknown. We propose that the presence of peers increases the salience of the immediate rewards of a risky choice. The current study examined the effect of peer presence on reward sensitivity in a sample of 100 late adolescents ages 18 through 20 (M=18.5) using a delay discounting task, which assesses an individual's preference for immediate versus delayed rewards. Participants were randomly assigned to complete the task alone or with 2 same‐age, same‐sex peers observing. Consistent with our prediction, adolescents demonstrated a greater preference for immediate rewards when with their peers than when alone. Heightened risk taking by adolescents in the company of their friends may be due in part to the effect that being with one's peers has on reward sensitivity.     

PROXYING FOR UNOBSERVABLE VARIABLES WITH INTERNET DOCUMENT‐FREQUENCY

The internet contains billions of documents. We show that document frequencies in large decentralized textual databases can capture the cross‐sectional variation in the occurrence frequencies of social phenomena. We characterize the econometric conditions under which such proxying is likely. We also propose using recently‐introduced internet search volume indexes as proxies for fundamental locational traits, and discuss their advantages and limitations. We then successfully proxy for a number of economic and demographic variables in US cities and states. We further obtain document‐frequency measures of corruption by country and US state and replicate the econometric results of previous research studying its covariates. Finally, we provide the first measure of corruption in American cities. Poverty, population size, service‐sector orientation, and ethnic fragmentation are shown to predict higher levels of corruption in urban America.     

The measurement of diversity: Ethnic and socioeconomic mixing in residential areas

Units of observation such as census tracts continue to be analyzed according to various modal characteristics while the variation or diversity existent in such units is often ignored. The qualitative or nominal-level indicators of diversity are examined which (1) are operative in the polytomous situation, and (2) measure within-unit diversity rather than divergences among units. Six qualitative indicators are explained and compared both theoretically and by example, with the Index of Qualitative Variation suggested as the most appropriate measure of diversity when variables representing a nominal scale are used. Quantitative or interval-level diversity also was examined with six measures analyzed, representing three operational situations. Because of the susceptibilities of five of the quantitative measures to skewness and variable sample sizes, the coefficient of variation was recommended for interval-level variables to evaluate within-unit diversity.     

A STRATEGY FOR INTEGRATING QUANTITATIVE TECHNIQUES INTO THE BUSINESS CURRICULUM*

Quantitative methods courses play an increasingly significant role in the programs of Schools of Business. However, maximum utilization of the concepts can occur only when these quantitative techniques have been integrated into the various functional areas via a faculty knowledgeable with such techniques and their applications. Lacking sufficient stimuli, this integrative process is observed to be one of an evolutionary nature. This article presents a strategy for stimulation of this process.     

Indigenous and gendered persons and peoples in business ethics education: Intersections of Indigenous wisdoms and de Beauvoirian existentialism

The purpose of this paper is to explore how business ethics textbooks include Indigenous and gendered persons and peoples and whether they acknowledge Indigenous philosophies and theories. We explore 363 cases from eighteen (18) business ethics textbooks. A form and theme based content analysis was employed to help us better understand the inclusion, obfuscation and omission of Indigenous and gendered persons. A purpose of business ethics education is to disrupt injustice and oppressive practices in business. We find that business ethics education can provide more inclusive and respectful cases as it relates to Indigenous and gendered characters. There are cases that marginalize, obfuscate and omit Indigenous peoples, females, and gender diverse persons. This study contributes to diversity scholarship by identifying ways in which Indigenous and gendered persons and peoples can be included in management and business ethics education.     

The battle over the allocation of interstate waters : Two contending doctrines

The doctrinal basis for resolving interstate water disputes is in a confused state because of a recent Supreme Court decision which holds that market forces should determine the allocation of interstate ground waters even though the same court has consistently held that doctrine of equitable apportionment governs interstate surface waters. Although there are arguments for both approaches, the doctrine of equitable apportionment is preferable in that by allocating shares to individual states it provides stability for state and regional water planning while limiting the excesses of territorial chauvinism by requiring sharing. The market approach is a single edged sword which protects a state wanting to take water from another. Equitable apportionment, on the other hand, is a double edged sword which protects both states and allocates to each an equitable share of interstate water resources.     

Stochastically Modeling Listeria Monocytogenes Growth in Farm Tank Milk

This article presents a Listeria monocytogenes growth model in milk at the farm bulk tank stage. The main objective was to judge the feasibility and value to risk assessors of introducing a complex model, including a complete thermal model, within a microbial quantitative risk assessment scheme. Predictive microbiology models are used under varying temperature conditions to predict bacterial growth. Input distributions are estimated based on data in the literature, when it is available. If not, reasonable assumptions are made for the considered context. Previously published results based on a Bayesian analysis of growth parameters are used. A Monte Carlo simulation that forecasts bacterial growth is the focus of this study. Three scenarios that take account of the variability and uncertainty of growth parameters are compared. The effect of a sophisticated thermal model taking account of continuous variations in milk temperature was tested by comparison with a simplified model where milk temperature was considered as constant. Limited multiplication of bacteria within the farm bulk tank was modeled. The two principal factors influencing bacterial growth were found to be tank thermostat regulation and bacterial population growth parameters. The dilution phenomenon due to the introduction of new milk was the main factor affecting the final bacterial concentration. The results show that a model that assumes constant environmental conditions at an average temperature should be acceptable for this process. This work may constitute a first step toward exposure assessment for L. monocytogenes in milk. In addition, this partly conceptual work provides guidelines for other risk assessments where continuous variation of a parameter needs to be taken into account.