Accurate estimation for extra-Poisson variability assuming random effect models

In this study, the components of extra-Poisson variability are estimated assuming random effect models under a Bayesian approach. A standard existing methodology to estimate extra-Poisson variability assumes a negative binomial distribution. The obtained results show that using the proposed random effect model it is possible to get more accurate estimates for the extra-Poisson variability components when compared to the use of a negative binomial distribution where it is possible to estimate only one component of extra-Poisson variability. Some illustrative examples are introduced considering real data sets.     

A new regression model for bimodal data and applications in agriculture

We define the odd log-logistic exponential Gaussian regression with two systematic components, which extends the heteroscedastic Gaussian regression and it is suitable for bimodal data quite common in the agriculture area. We estimate the parameters by the method of maximum likelihood. Some simulations indicate that the maximum-likelihood estimators are accurate. The model assumptions are checked through case deletion and quantile residuals. The usefulness of the new regression model is illustrated by means of three real data sets in different areas of agriculture, where the data present bimodality.     

Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, stored in public repositories. We review applications of a variety of empirical Bayes methods to several well‐known model‐based prediction methods, including penalized regression, linear discriminant analysis, and Bayesian models with sparse or dense priors. We discuss “formal” empirical Bayes methods that maximize the marginal likelihood but also more informal approaches based on other data summaries. We contrast empirical Bayes to cross‐validation and full Bayes and discuss hybrid approaches. To study the relation between the quality of an empirical Bayes estimator and p, the number of variables, we consider a simple empirical Bayes estimator in a linear model setting. We argue that empirical Bayes is particularly useful when the prior contains multiple parameters, which model a priori information on variables termed “co‐data”. In particular, we present two novel examples that allow for co‐data: first, a Bayesian spike‐and‐slab setting that facilitates inclusion of multiple co‐data sources and types and, second, a hybrid empirical Bayes–full Bayes ridge regression approach for estimation of the posterior predictive interval.     

“Migrant Capital” and Domestic Work: Labour Trajectories of Immigrant Women in Spain

This article analyses the labour trajectory of migrant women in domestic service. The research considers women's working conditions upon arrival, or their “migrant capital” (i.e. their human, social and economic capital) as the defining factors in their labour trajectories. The study, conducted on a sample of migrant women in domestic service, reveals the different value each type of capital has at each stage of a labour trajectory. The social network is the core capital in their first job. Nevertheless, the key factors in labour mobility are human capital and a household's financial needs. The processes of administrative regularization and family reunification prompt far‐reaching changes in these women's labour trajectories. Finally, labour trajectories during the economic crisis have been shaped by financial needs, leading to a decapitalization of the human capital acquired, with even legal status surrendering its value.     

Urban ecosystem Services in Latin America: mismatch between global concepts and regional realities?

Urban Ecosystems - Latin America and the Caribbean (LAC) is one of the most urbanized and biologically diverse regions in the world but is often characterized by weak environmental governance and...     

A critical approach to wage devaluation: The case of Spanish economic recovery

In line with the orientation of EU economic policy, the Spanish government has favoured a strategy of internal devaluation as a way of adjusting price levels within the currency union. The results of empirical studies indicate that the internal devaluation applied in Spain does not seem to have attained the desired goals in terms of reducing the relative prices of exports and consolidating a model of growth based on external demand. Indeed, the estimates drawn up show that tailwinds – the depreciation of the euro and the fall in risk premium as results of the measures taken by the ECB, greater economic activity by trading partners and the fall in the price of oil – exercised a decisive influence in the trends followed by the prices of exports and the balance of trade during the period of crisis management in Spain.     

Design of ISD-1: an instrument for social diagnosis in care homes for older persons*

This article describes the design process and main features of an instrument developed for use in the specialist area of intervention in care homes for older persons. The essential aim of ISD-1 (instrument for social diagnosis) is to permit the correct formulation of social diagnoses and to standardise and define the professional language used by social workers. Its content has been organised into 4 dimensions of social diagnosis, divided into 15 sub-dimensions containing 83 diagnostic categories. This work was performed in Spain, in the 24 care homes of the Madrid Social Care Agency of the Community of Madrid, involving the participation of the 40 social workers practising in these centres. ISD-1 is an easily understood and used tool, of potential use for social workers practising in care homes for older persons and capable of being adapted for use in other institutional environments, as well as being capable of adaptation and translation for its application in other countries.     

Why do newcomers vote for a newcomer? Support for an immigrant party

This article studies the voters of DENK, the first immigrant party to gain seats in a national parliament. It builds further on the existing literature on how immigrants and people from immigrant descent vote in Western European countries. From the literature we derive seven expectations about the kind of voters that are likely to vote for an immigrant party in terms of their political cynicism, attitudes towards economic, globalisation and moral issues. We find that DENK voters are younger Muslims, who have conservative views on moral matters, cynical attitudes towards politics, right-wing views on economic matters and progressive views on issues that pertain to the globalisation dimension, such as immigration, integration and Islam and in particular discrimination. This article uses VAA data to construct a matched sample that in terms of key variables is representative for voters with and without a migration background.     

外观设计的法律保护

在知识产权的保护对象中 ,外观设计较为特殊。作为一种发明 ,它可以受到专利法的保护 ;作为某种美学思想的表述 ,它可以受到版权法的保护 ;当它在市场上获得显著性或第二含义后 ,又可以作为商标得到商标法的保护 ,或作为商品外观得到反不正当竞争法的保护。外观设计问题涉及专利权、版权法、商标法和反不正当竞争法。外观设计与商品包装外观设计可获得专利法的保护 ,但商品包装只能获得反不正当竞争法的保护 ,不能将二者混为一谈