Cause-Related Marketing in the Digital Era: How Enterprises Can Deal with International Campaigns in Individualist Versus Collectivist Countries

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - The purpose of the paper is to (i) analyze how different users of social media (Twitter) interact and spread cause-related...     

Minimal stories in Southeast Buenos Aires grasslands: carabid beetle biodiversity throughout an urban-rural gradient

Urban Ecosystems - Urbanization modifies the original habitat and the biodiversity. Research throughout urban-rural gradients allows the monitoring of human activities on the biodiversity of native...     

DISENFRANCHISEMENT IN LINGUISTICALLY DIVERSE SOCIETIES: THE CASE OF THE EUROPEAN UNION

We consider a linguistically diversified society and examine the notion of language disenfranchisement when some individuals are denied the full access to documents and political process in their native tongues. To calculate the disenfranchisement indices we use the Dyen percentage cognate matrix of linguistic distances between Indo‐European languages and apply survey and population data on language proficiency in the European Union. We then determine optimal sets of official languages that depend on society's sensitivity against disenfranchisement and comprehensiveness of the chosen language regime. We also discuss the language situation in the European Union after its last enlargement. (JEL: D70, O52, Z13)     

The generalized inverse Weibull distribution

The inverse Weibull distribution has the ability to model failure rates which are quite common in reliability and biological studies. A three-parameter generalized inverse Weibull distribution with decreasing and unimodal failure rate is introduced and studied. We provide a comprehensive treatment of the mathematical properties of the new distribution including expressions for the moment generating function and the rth generalized moment. The mixture model of two generalized inverse Weibull distributions is investigated. The identifiability property of the mixture model is demonstrated. For the first time, we propose a location-scale regression model based on the log-generalized inverse Weibull distribution for modeling lifetime data. In addition, we develop some diagnostic tools for sensitivity analysis. Two applications of real data are given to illustrate the potentiality of the proposed regression model.     

Back to the South: Social and Political Aspects of Latin American Migration to Southern Europe

When migration from the Latin American and Caribbean countries to Europe is studied, a preferential stream can be noted towards southern Europe. There would also appear to have been a remarkable growth in the volume of flows in this direction in recent years. The flows themselves vary: in the case of Spain, nationals from Ecuador, Colombia, Peru and Argentina predominate; Portugal is the recipient of Brazilians; and Italy mainly plays host to nationals from Peru and Ecuador. These flows reveal the importance of various factors: economic push and pull mechanisms; the former presence in the region of Spain and Portugal as erstwhile colonial powers; the earlier waves of emigrants in that direction from Spain, Portugal and Italy; a relatively more favourable social reception; and political initiatives that favour the new sending countries. In other words, economic gaps, former historical links, cultural and linguistic affinities, family ties and diplomatic channels suggest that a special route exists for migrants from Latin America. The topics that will be expanded upon in this paper include the factors explaining recent immigration to southern Europe; the economic incorporation of immigrants; the social framework of flows, including reactions from local populations; and the tentative and multiple policy responses to immigration. Conclusions indicate that the potential for movements from Latin America, resulting from both previous and current links, has proved to be a favourable response to the need for immigrant workers in the case of southern European societies. Despite the familiar path (albeit in the reverse direction), the economic incorporation of immigrants has mainly occurred in the low‐ranking jobs, as was the case with other inflows. This stemmed from market needs, state failures and the importance of the family. However, given the numerous links between Latin America and southern Europe, the social and policy responses adopted towards these immigrants seem to have been more beneficial than towards other groups.     

Semiparametric Modeling of the Spatial Distribution of Occupational Accident Risk in the Casual Labor Market, Piracicaba, Southeast Brazil

The objective of this study was to estimate the spatial distribution of work accident risk in the informal work market in the urban zone of an industrialized city in southeast Brazil and to examine concomitant effects of age, gender, and type of occupation after controlling for spatial risk variation. The basic methodology adopted was that of a population-based case-control study with particular interest focused on the spatial location of work. Cases were all casual workers in the city suffering work accidents during a one-year period; controls were selected from the source population of casual laborers by systematic random sampling of urban homes. The spatial distribution of work accidents was estimated via a semiparametric generalized additive model with a nonparametric bidimensional spline of the geographical coordinates of cases and controls as the nonlinear spatial component, and including age, gender, and occupation as linear predictive variables in the parametric component. We analyzed 1,918 cases and 2,245 controls between 1/11/2003 and 31/10/2004 in Piracicaba, Brazil. Areas of significantly high and low accident risk were identified in relation to mean risk in the study region (p < 0.01). Work accident risk for informal workers varied significantly in the study area. Significant age, gender, and occupational group effects on accident risk were identified after correcting for this spatial variation. A good understanding of high-risk groups and high-risk regions underpins the formulation of hypotheses concerning accident causality and the development of effective public accident prevention policies.     

A new biased estimator based on ridge estimation

In this paper we introduce a new biased estimator for the vector of parameters in a linear regression model and discuss its properties. We show that our new biased estimator is superior, in the mean square error(mse) sense, to the ordinary least squares (OLS) estimator, the ordinary ridge regression (ORR) estimator and the Liu estimator. We also compare the performance of our new biased estimator with two other special Liu-type estimators proposed in Liu (2003). We illustrate our findings with a numerical example based on the widely analysed dataset on Portland cement.