Convergence de I estimateur a noyau de derivees de Radon-Nikodym generales dans le cas melangeant

In many situations, nonparametric inference in point-process theory consists in estimating a Radon-Nikodym derivative of a nonnegative measure p with respect to another nonnegative measure v, where p and v are intensities of point processes. We consider the case of a mixing andstrictly stationary sequence of point processes and establish convergence results for the kernel estimator.     

Le marché comme rencontre d’activités de régulation : initiatives et innovations dans l’approvisionnement bio et local de la restauration collective

How to apply Jean-Daniel Reynaud's theory of social regulation to market relations? When applied to the results drawn from fieldwork on the supplying of organic and local produce to catering businesses serving public institutions in France, this grid of analysis shows that organizing this supply chain involves many activities of regulation. An explanation is provided about how hard existing regulations make it to search for local produce. Two contrasting cases show the degree to which the parties involved can skirt around existing regulations and also, use certain regulations to construct new ones. The innovative regulations that enter into application are qualified as being “joint”, since they stem from the efforts of the parties in catering and in agriculture to agree about how to organize transactions, which had previously been done through the work of market middlemen. In that case, instead of reasoning in terms of a pre-existing supply and demand, we have to understand how supply and demand gradually take shape through the process of working out regulations.     

Nonparametric particle filtering approaches for identification and inference in nonlinear state-space dynamic systems

Most system identification approaches and statistical inference methods rely on the availability of the analytic knowledge of the probability distribution function of the system output variables. In the case of dynamic systems modelled by hidden Markov chains or stochastic nonlinear state-space models, these distributions as well as that of the state variables themselves, can be unknown or untractable. In that situation, the usual particle Monte Carlo filters for system identification or likelihood-based inference and model selection methods have to rely, whenever possible, on some hazardous approximations and are often at risk. This review shows how a recent nonparametric particle filtering approach can be efficiently used in that context, not only for consistent filtering of these systems but also to restore these statistical inference methods, allowing, for example, consistent particle estimation of Bayes factors or the generalisation of model parameter change detection sequential tests. Real-life applications of these particle approaches to a microbiological growth model are proposed as illustrations.     

Lagrance-multiplier tersts for weak exogeneity: a synthesis

This paper unifies two seemingly separate approaches to test weak exogeneity in dynamic regression models with Lagrange-mulptiplier statistics. The first class of tests focuses on the orthogonality between innovations and conditioning variables, and thus is related to the Durbin-Wu-Hausman specification test. The second approach has been developed more recently in the context of context of cointegration and error correction models, ad concentrates on the question whether the conditioning variables display error correction behaviour. It is shown that the vital difference between the two approaches stems from the choice of the parmeters of interest. A new test is derived, which encompasses both its predecessors. The test is applied to an error correction model of the demand for money in Switzerland.     

Families' values and attitudes regarding responsibility for the frail elderly: implications for aging policy

This study examines the norms and values associated with care to disabled and frail aging parents, in particular those with regard to the sharing of responsibilities for care between families and formal services, and this within three age cohorts in Quebec, Canada. It is based on a telephone interview of 1,315 people. Factor analysis yielded four factors: (1) family responsibility; (2) uncompromising family obligations; (3) acceptance of services; (4) distrust of services. Analyses of the data indicate that all three age cohorts consider that families have responsibilities for their aging family members, at the same time that they score very high on the acceptance of service scale. This article discusses these seemingly paradoxical results and their implications for aging policy.     

Active social policies revisited by social workers

Social policies are described as active on the basis of formal legal provisions, or on the grounds of expenditure data. Using the notion, set forth by Lipsky, M. [(1980). Street-level bureaucracy: Dilemnas of the individual in public services (2010 ed.). New York, NY: Russell Sage Foundation] as well as by several subsequent authors, that social workers who implement policies actually play a role in (re)defining them, the present article intends to explore the way in which active social policies are implemented in a Swiss canton. On the basis of an original study, we show that, on the one hand, social workers tend to view activation as a distant perspective – which means they often do no put it into practice right away. And activation, when social workers do deem it to be necessary, takes on different meanings depending on whether they are dealing with young people or with mothers. As a result, the actual meaning of the word activation varies – a fact that scholars who focused solely on formal/legal activation policies were not in a position to observe.