RAND Corporation

About: RAND Corporation is a nonprofit organization based out in Santa Monica, California, United States. It is known for research contribution in the topics: Health care & Population. The organization has 9602 authors who have published 18570 publications receiving 744658 citations.

Asymmetric influence in mock jury deliberation: jurors' bias for leniency.

Abstract: Investigators have frequently noted a leniency bias in mock jury research, in which deliberation appears to induce greater leniency in criminal mock jurors. One manifestation of this bias, the asymmetry effect, suggests that proacquittal factions are more influential than proconviction factions of comparable size. A meta-analysis indicated that these asymmetry effects are reliable across a variety of experimental contexts. Experiment 1 examined the possibility that the leniency bias is restricted to the typical college-student subject population. The decisions of college-student and community mock jurors in groups beginning deliberation with equal faction sizes (viz., 2:2) were compared. The magnitude of the asymmetry effect did not differ between the two populations. We hypothesized that the asymmetry effect was caused by an asymmetric prodefendant standard of proof--the reasonable-doubt standard. In Experiment 2, subjects received either reasonable-doubt or preponderance-of-evidence instructions. After providing initial verdict preferences, some subjects deliberated in groups composed with an initial 2:2 split, whereas other subjects privately generated arguments for each verdict option. A significant asymmetry was found for groups in the reasonable-doubt condition, but group verdicts were symmetrical under the preponderance-of-evidence instructions. Shifts toward leniency in individual verdict preferences occurred for group members, but not for subjects who performed the argument-generation task. The theoretical and applied significance of these findings is discussed.

Contextual influences on eating behaviours: heuristic processing and dietary choices

Abstract: This paper reviews some of the evidence that dietary behaviours are, in large part, the consequence of automatic responses to contextual food cues, many of which lead to increased caloric consumption and poor dietary choices. We describe studies that illustrate how these automatic mechanisms underlie eating behaviours, as well as evidence that individuals are subject to inherent cognitive limitations, and mostly lack the capacity to consistently recognize, ignore or resist contextual cues that encourage eating. Restaurants and grocery stores are the primary settings from which people obtain food. These settings are often designed to maximize sales of food by strategically placing and promoting items to encourage impulse purchases. Although a great deal of marketing research is proprietary, this paper describes some of the published studies that indicate that changes in superficial characteristics of food products, including packaging and portion sizes, design, salience, health claims and labelling, strongly influence food choices and consumption in ways for which people generally lack insight. We discuss whether contextual influences might be considered environmental risk factors from which individuals may need the kinds of protections that fall under the mission of public health.

Assuring Finite Moments for Willingness to Pay in Random Coefficient Models

Abstract: Random coefficient models such as mixed logit are increasingly being used to allow for random heterogeneity in willingness to pay (WTP) measures. In the most commonly used specifications, the distribution of WTP for an attribute is derived from the distribution of the ratio of individual coefficients. Since the cost coefficient enters the denominator, values of the cost coefficient that are close to zero induce large values of WTP, with unboundedly large values of WTP resulting from cost coefficients arbitrarily close to zero. In this paper, the authors identify a criterion to determine whether the distribution of WTP has finite moments. Using this criterion, the authors show that some popular distributions used for the cost coefficient in random coefficient models, including normal, truncated normal, uniform and triangular, imply infinite moments for the distribution of WTP, even if truncated or bounded at zero. The authors also point out that relying on simulation approaches to obtain moments of WTP from the estimated distribution of the cost and attribute coefficients can mask the problem by giving finite moments when the true ones are infinite. The authors identify several approaches that analysts can utilise to assure that the distribution of WTP has finite moments.