Dietary health does affect histological age assessment: an evaluation of the Stout and Paine (1992) age estimation equation using secondary osteons from the rib

An age at death estimation equation that uses rib histological variables presented by Stout and Paine was used to evaluate a skeletal population of individuals with a known age at death and cause of death from either malnutrition or the niacin deficiency disease pellagra. The sample was comprised of 26 autopsied black South Africans. Histological analysis of mounted thin sections involved the microscopic measurement of cortical area and a count of the number of intact and fragmentary secondary osteons for the entire cross-section of the rib. Rib osteon population density values were then calculated for each case. It was found that this equation under-aged individuals on average by 29.2 years. Overall, secondary osteon size and Haversian canals tended to be larger than expected, while cortical bone area was less when compared with a control population. The implications of these findings are critical given that many of the skeletal remains examined by forensic anthropologists come from marginalized backgrounds, including malnutrition. This research suggests that measurements based on healthy cases may not be useful in an analysis of individuals with poor diet and health. It is argued that new standards for histological age assessment methods need to be created that account for variation in the health status of individuals examined by forensic anthropologists.     

Codecision procedure biais: the European legislation game

The European Union’s codecision procedure is analyzed as a bargaining game between the Council and the European Parliament. The model shows that the policy outcome is biased towards the ideal point of the institution that is closest to the status quo, when the negotiation leads to an agreement. If the Council’s ideal policy is closer to the status quo, as is the case for example concerning the duration of maternity leave, the resulting policy will remain closer to the Council’s than to the European Parliament’s position. Furthermore, the result of the codecision procedure is Kaldor–Hicks inefficient. The developments of common policies concerning asylum, fishery and maternity leave illustrate both the possibility of the failure of negotiations and the influence of the Council on the outcome.     

Can Social Media Predict Election Results? Evidence From New Zealand

The importance of social media for election campaigning has received a lot of attention recently. Using data from the 2011 New Zealand general election and the size of candidates’ social media networks on Facebook and Twitter, we investigate whether social media is associated with election votes and probability of election success. Overall, our results suggest that there is a statistically significant relationship between the size of online social networks and election voting and election results. However, the size of the effect is small and it appears that social media presence is therefore only predictive in closely contested elections.     

Norm Diffusion and Reputation: The Rise of the Extractive Industries Transparency Initiative

Transparency in the extractives sector is widely seen as an important tool for improving accountability and deterring corruption. Yet for those very reasons, it is a puzzle that so many governments in corruption‐prone countries have voluntarily signed up to greater scrutiny in this area by joining the Extractive Industries Transparency Initiative (EITI). We argue that EITI serves as a reputational intermediary, whereby reformers can signal good intentions and international actors can reward achievement. International and domestic actors thus utilize EITI to diffuse the norm of resource transparency and to advance reformist aims in a highly problematic policy area.     

What drives the diffusion of inclusionary zoning?

Social scientists offer competing theories on what explains the policymaking process. These typically include economic rationalism, political competition or power struggles, and policy imitation of the kind that diffuses across spatially proximate neighbors. In this paper, we examine the factors that have influenced a recent local policy trend in California: inclusionary zoning (IZ). IZ programs require developers to make a certain percentage of the units within their market‐rate residential developments affordable to low‐ or moderate‐income households. By 2007, 68 percent of jurisdictions in the San Francisco Bay Area had adopted some type of IZ policy. We test the relative importance of economic, political, and spatial factors in explaining the rapid diffusion of IZ, across 100 cities and towns in the Bay Area. Consistent with an economic efficiency argument, results of hazard models provide some evidence that IZ is adopted in places with less affordable housing. However, political factors, such as partisan affiliation and the strength of affordable housing nonprofits, are even more robust predictors of whether or not a local government adopts IZ. There is no evidence of spatial diffusion in the case of IZ adoption; jurisdictions are not, on average, responding to the behavior of their neighbors. © 2010 by the Association for Public Policy Analysis and Management.