Incomplete Preferences Under Uncertainty: Indecisiveness in Beliefs versus Tastes

We investigate the classical Anscombe–Aumann model of decision‐making under uncertainty without the completeness axiom. We distinguish between the dual traits of “indecisiveness in beliefs” and “indecisiveness in tastes.” The former is captured by the Knightian uncertainty model, the latter by the single‐prior expected multi‐utility model. We characterize axiomatically the latter model. Then we show that, under independence and continuity, these two models can be jointly characterized by means of a partial completeness property.     

A Bayesian nonparametric estimator based on left censored data

Summary This paper introduces a Bayesian nonparametric estimator for an unknown distribution function based on left censored observations. Hjort (1990)/Lo (1993) introduced Bayesian nonparametric estimators derived from beta/beta-neutral processes which allow for right censoring. These processes are taken as priors from the class ofneutral to the right processes (Doksum, 1974). The Kaplan-Meier nonparametric product limit estimator can be obtained from these Bayesian nonparametric estimators in the limiting case of a vague prior. The present paper introduces what can be seen as the correspondingleft beta/beta-neutral process prior which allow for left censoring. The Bayesian nonparametyric estimator is obtained as in the corresponding product limit estimator based on left censored data.     

A note on zenga concentration index

Summary The Zenga index, , is shown to be a concentration index, in the sense that, ifX andY are non negative random variables with 0<E(X), E(Y)<+∞, then (X)⩾ (Y) whenever the Lorenz curves satisfyL _x(p)≤L _y(p) for all p. Research partially supported by: M.U.R.S.T. 40% ?Inferenza statistica: basi probabilistiche e sviluppi metodologici?.     

Formative Indicators and Effects of a Causal Model for Household Human Capital with Application

Dagum and Slottje (2000) estimated household human capital (HC) as a latent variable (LV) and proposed its monetary estimation by means of an actuarial approach. This paper introduces an improved method for the estimation of household HC as an LV by means of formative and reflective indicators in agreement with the accepted economic definition of HC. The monetary value of HC is used in a recursive causal model to obtain short- and long-term multipliers that measure the direct and total effects of the variables that determine household HC. The new method is applied to estimate US household HC for year 2004.     

Performance measurement frameworks in public and non-profit sectors

In the last decade much attention has been devoted to developing performance measurement systems (PMS), which could encompass both financial and non-financial measures. Many frameworks have been conceived in order to allow companies to better evaluate their own performance by means of collected data, but few attempts have been made to provide public and non-profit organizations with PMS devoted explicitly for their needs. The aims of this paper are to review the frameworks currently developed and implemented in public and non-profit organizations and to identify the requirements of a framework, which can be applied in this context.     

A proposal for handling ordinal categorical variables in co-inertia analysis

This paper is about the problem of the treatment of ordinal qualitative variables in co-inertia analysis. In the literature, there are different proposals based on the application of known statistical techniques to quantify ordinal variables. Here we propose to use a new procedure for the coding considering the empirical distributions of the variables involved in the analysis. We present an application to a real dataset, comparing the results obtained with the different kinds of quantification.     

Nonparametric survival regression using the beta-Stacy process

A novel class of hierarchical nonparametric Bayesian survival regression models for time-to-event data with uninformative right censoring is introduced. The survival curve is modeled as a random function whose prior distribution is defined using the beta-Stacy (BS) process. The prior mean of each survival probability and its prior variance are linked to a standard parametric survival regression model. This nonparametric survival regression can thus be anchored to any reference parametric form, such as a proportional hazards or an accelerated failure time model, allowing substantial departures of the predictive survival probabilities when the reference model is not supported by the data. Also, under this formulation the predictive survival probabilities will be close to the empirical survival distribution near the mode of the reference model and they will be shrunken towards its probability density in the tails of the empirical distribution.     

‘Capturing Anarchists Across Borders’: The Transnational Dimensions of Italian Antimilitarist Campaigns, 1911–14

Abstract

This article engages with questions of the integration of different scales of analysis in the study of labour and radical movements: ‘transnational’, ‘national’ and ‘local’ or ‘trans-local’. The article places the study of transnational anarchism in a ‘national’ and ‘trans-local’ perspective. The analysis of the intersection between the networks of those who migrated from Italy and those who remained provides a fruitful means to uncover dynamics within the transnational anarchist movement and the interplay, in both directions, between home country, exile communities and host countries. The article focuses on the crucial, but still unexplored, contributions of communities of Italian anarchists abroad (in, among other places, London, Paris, Berne, Marseille, Barre and Buenos Aires) to the anti-militarist campaigns against the Italian colonial enterprise in Libya from 1911 to 1914, in terms of propaganda, theoretical debate, financing and countercultural production. The investigation of the initiatives of anarchist exiles and how they coordinated with their comrades in Italy provides a significant case study, not only to understand network-based transnational anarchism but also to reflect on mechanisms of political migration and their influence on the development of social conflicts.     

On Stable Population Theory With Immigration

The paper extends stable population theory to include a constant stream of immigration. Previous attempts at tackling the problem have either restricted themselves to a below-replacement native population or else used an approach that does not produce the values of all of the parameters explicitly. It is shown that under a constant stream of immigration, the population will asymptotically tend toward a constant, linear, or exponential behavior, depending on whether the fertility behavior is below, equal to, or above replacement level. All of the parameters are determined in terms of the characteristics of the population at the origin.