PAID- VERSUS DONATED-MEDIA STRATEGIES FOR PUBLIC SERVICE ANNOUNCEMENT CAMPAIGNS

Public service announcement (PSA) campaigns have traditionallyrelied on donated rather than paid advertising media. Recently,however, both government agencies and charitable or ganizationshave questioned whether donated-media strategies should be abandonedfor paid-media PSA campaigns. The present research examinesthis issue in a three-market field experiment comparing theeffectiveness of "paid versus donated" PSA cam paigns in decreasingyouthful male drinking and driving. Depen dent variables include(1) self-reports of behaviors from sample surveys and (2) officialcounts of incapacitating and fatal highway accidents. Resultsshow that both campaigns were equally effec tive and both werecost efficient. Thus, in light of these results, it is recommendedthat social marketers not abandon donated-media PSA campaignsfor paid-media PSA campaigns.     

Attitude adjustment

How can you motivate physicians so that their decisions and behavior reflect what is best for the group practice, instead of themselves or their department? By clearly stating expectations and goals, physicians can learn that the priority must be the success of the group practice. Presented here is an example of how the Orlando Health Care Group (OHCG), a primary care medical group with 85 physicians in four specialties, addressed this challenge and the physicians' positive response to the change. To survive as a group, the OHCG had to abandon old ways of managing conflict and agree upon a list of core values around which it could evaluate all future physician behavior. The list became known as the "10 Commandments." They were meant to give every individual a sense of place and purpose within the group, knowing that the best way for an individual to prosper was to be part of a successful group.     

MEASURING CRACK COCAINE AND ITS IMPACT

Numerous social indicators turned negative for Blacks in the 1980s and rebounded a decade later. We explore whether crack cocaine explains these patterns. Absent a direct measure, we construct a crack prevalence index using multiple proxies. Our index reproduces spatial and temporal patterns described in ethnographic accounts of the crack epidemic. It explains much of the 1980s rise in Black youth homicide and more moderate increases in adverse birth outcomes. Although our index remains high through the 1990s, crack's deleterious social impact fades. Changes over time in behavior, crack markets, and the user population may have mitigated crack's damaging impacts. (JEL K42, J15, I30)     

The Mirror Effect: Corporate Social Responsibility,Corporate Social Irresponsibility and Firm Performance in Coordinated Market Economies and Liberal Market Economies

We investigate the classic management debate of agency versus institutional pressures through the application of the varieties of capitalism literature. In particular, we examine corporate social responsibility (CSR), corporate social irresponsibility (CSiR) and their relationships with firm performance in two types of capitalist systems: coordinated market economies (CMEs) and liberal market economies (LMEs). We note that while the CSR literature has tended to develop a balanced view on the influence of agency and institutional pressures, the CSiR literature has tended to emphasize the influence of agency. The latter appears to be a result of the fundamental attribution bias, where irresponsible corporate behaviours are attributed to individual managers or organizations, rather than the institutional environment. Our results, which include five years of data across 16 countries, show significantly greater CSR and significantly lower CSiR in CMEs compared with LMEs. Further, we find a positive relationship between CSR and firm performance in CMEs but not LMEs, and a negative relationship between CSiR and firm performance in LMEs but not CMEs. Overall, our results demonstrate the influence of the institutional environment, suggesting that corporate behaviours mirror the external environment.     

Bivariate modelling of longitudinal measurements of two human immunodeficiency type 1 disease progression markers in the presence of informative drop-outs

Summary.  The main statistical problem in many epidemiological studies which involve repeated measurements of surrogate markers is the frequent occurrence of missing data. Standard likelihood-based approaches like the linear random-effects model fail to give unbiased estimates when data are non-ignorably missing. In human immunodeficiency virus (HIV) type 1 infection, two markers which have been widely used to track progression of the disease are CD4 cell counts and HIV–ribonucleic acid (RNA) viral load levels. Repeated measurements of these markers tend to be informatively censored, which is a special case of non-ignorable missingness. In such cases, we need to apply methods that jointly model the observed data and the missingness process. Despite their high correlation, longitudinal data of these markers have been analysed independently by using mainly random-effects models. Touloumi and co-workers have proposed a model termed the joint multivariate random-effects model which combines a linear random-effects model for the underlying pattern of the marker with a log-normal survival model for the drop-out process. We extend the joint multivariate random-effects model to model simultaneously the CD4 cell and viral load data while adjusting for informative drop-outs due to disease progression or death. Estimates of all the model's parameters are obtained by using the restricted iterative generalized least squares method or a modified version of it using the EM algorithm as a nested algorithm in the case of censored survival data taking also into account non-linearity in the HIV–RNA trend. The method proposed is evaluated and compared with simpler approaches in a simulation study. Finally the method is applied to a subset of the data from the 'Concerted action on seroconversion to AIDS and death in Europe' study.     

Gender similarity in growth patterns of support toward friends during young adulthood

The purpose of this article was to analyze change over time in a specific aspect of prosocial behavior, emotional support toward friends, using two different methodologies. We examined how emotional support changes during the transition to adulthood and whether gender‐based group comparisons yield different gender patterns than person‐centered growth mixture models. We hypothesized that emotional helping toward friends would increase over time and that person‐centered analyses would not show gender differences as large as those indicated by group comparison models. Participants were 466 young adults (ages 18–21). Findings indicated that important intragroup variance was masked when analyses focused on comparisons between gender groups. Person‐centered analyses indicated two mixed‐gender groups with different prosocial trajectories. We discuss how the methods and outcomes of person‐centered analyses are more congruent with current theories of “gender similarities” as well as empirical evidence of the small gender difference in social behaviors such as emotional support.