Inheritance and wealth composition

This paper studies the effects of variables pertaining to alternative bequest motives on the composition of households' portofolio. It relies on a 1986 survey on the assets structure of 5600 French households. The main conclusion is that bequest motives indeed influence the composition of households' wealth. However, available data does not allow one to sort out the influence of specific models of inheritance.We thank John Ermisch, Jim Lindsey and two referees for their comments and suggestions. This research benefitted from the financial support of the SPES program.     

Analysis of social pathologies in a policy context: A paradigm for action

Prevention continues to gain importance among the strategies open for governmental development of social policy. This paper offers two exploratory conceptual discussions related to prevention in social policy. The first is a representation of the policy making environment with special reference to the informational requirements for the development of policy. The second is a discussion of social pathologies, broadly defined as patterns of behavior with important negative repercussions on individuals whom we refer to as victims, and of possible strategies toward the development of (at least partial) preventive measures. The two discussions are interrelated as the shape of the second is dictated by the desiderata outlined in the first. The paper is divided into five parts:

1. Introduction: the conundrum of prevention.
2. The Development of a paradigm of the policy context.
3. Dependent variables: social pathologies.
4. Independent variables: a focus on structural determinants.
5. Conclusion: information requirements for preventive action.

     

Activity patterns and temporal niche partitioning of dogs and medium-sized wild mammals in urban parks of Xalapa,Mexico

Urban Ecosystems - Free-ranging domestic dogs are the world most common exotic carnivore species that could negatively interact with the native wildlife as predators, competitors, and disease...     

Exploring the link between integrated leadership and public sector performance

This study develops the concept of integrated leadership in the public sector. Integrated leadership is conceived as the combination of five leadership roles that are performed collectively by employees and managers at different levels of the hierarchy. The leadership roles are task-, relations-, change-, diversity-, and integrity-oriented leadership. Using data from the Federal Human Capital Survey and Program Assessment Rating Tool, we analyze the relationship between integrated leadership and federal program performance. The findings from the empirical analysis indicate that integrated leadership has a positive and sizeable effect on the performance of federal sub-agencies. The study concludes with a discussion of the implications of the findings and limitations of the study.     

Modeling stereotypes and negative self‐stereotypes as a function of interactions among groups with power asymmetries

Stereotypes is one of the most researched topics in social psychology. Within this context, negative self‐stereotypes pose a particular challenge for theories. In the current work, we propose a model that suggests that negative self‐stereotypes can theoretically be accounted for by the need to communicate in a social system made up by groups with unequal power. Because our theory is dynamic, probabilistic, and interactionist, we use a computational simulation technique to show that the proposed model is able to reproduce the phenomenon of interest, to provide novel accounts of related phenomena, and to suggest novel empirical predictions. We describe our computational model, our variables' dynamic behavior and interactions, and link our analyses to the literature on stereotypes and self‐stereotypes, the stability of stereotypes (in particular, gender and racial stereotypes), the effects of power asymmetries, and the effects of intergroup contact.     

A TIME-SERIES APPROACH FOR CONSTRUCTING EXPECTATIONS MODELS*

This article presents an efficient way of dealing with adaptive expectations models—a way that makes use of all the information available in the data. The procedure is based on multiple-input transfer functions (MITFs): by calculating lead and lag cross correlations between innovations associated with the variables in the model, it is possible to determine which periods have the greatest effects on the dependent variable. If information about k periods ahead is required, fitted values for the expectation variables are used to generate k-period-ahead forecasts. These in turn can be used in the estimation of the transfer function equation, which not only contains the usual lagged variables but also allows for incorporation of lead-fitted values for the expectation variables. The MITF identification and estimation procedures used are based on the corner method. The method is contrasted with the Almon distributed-lag approach using a model relating stock market prices to interest rates and expected corporate profits.     

Landscape urbanization threatens plant phylogenetic diversity in the Brazilian Atlantic Forest

Urbanization causes species loss around the world, but its effects on phylogenetic diversity are poorly known in tropical forests. Using a patch-landscape approach in an urbanizing region of the Brazilian Atlantic Forest, we tested whether the increase in landscape urbanization reduces plant species density, phylogenetic richness and divergence, and increases the relatedness among co-occurring individuals and species. We assessed plant responses to urbanization in adult (diameter at breast height?>?10 cm) and sapling communities (2.5–10 cm diameter) separately, as saplings are proxies of the future flora. We sampled 2860 woody plants belonging to 155 species in nine circular landscapes with urbanization level varying from 0% to 45%, and estimated the relatedness among the species that have increased and decreased in relative abundance in more urbanized landscapes (winner and losers, respectively). As expected, species density and phylogenetic richness decreased with the increase in urbanization. These responses were consistent for adult and sapling communities, suggesting a persistent loss of species and lineages in more urbanized landscapes. Contrary to our expectations, phylogenetic divergence and structure did not respond to urbanization, indicating that the more urbanized landscapes still retain much evolutionary history. However, because the relatedness among winners was greater than among losers, it is likely that the phylogenetic divergence gradually reduces and the relatedness increases, resulting in impoverished forests with uncertain ability to provide ecosystem services such as carbon storage and pest control. This environmental cost should be taken into account to align urban sprawl with biodiversity conservation.     

Marginal models for the association structure of hierarchical binary responses

Clustered binary responses are often found in ecological studies. Data analysis may include modeling the marginal probability response. However, when the association is the main scientific focus, modeling the correlation structure between pairs of responses is the key part of the analysis. Second-order generalized estimating equations (GEE) are established in the literature. Some of them are more efficient in computational terms, especially facing large clusters. Alternating logistic regression (ALR) and orthogonalized residual (ORTH) GEE methods are presented and compared in this paper. Simulation results show a slightly superiority of ALR over ORTH. Marginal probabilities and odds ratios are also estimated and compared in a real ecological study involving a three-level hierarchical clustering. ALR and ORTH models are useful for modeling complex association structure with large cluster sizes.