Simulation-based inference for simultaneous processes on regular lattices

The article proposes a simulation-based inferential method for simultaneous processes defined on a regular lattice. The focus is on spatio-temporal processes with a simultaneous component, that is such that contemporaneous spatial neighbors are potential explanatory variables in the model. The new method has the advantage of being simpler to implement than maximum likelihood and allows us to propose a robust estimator. We give asymptotic properties, present a Monte Carlo study and an illustrative example.     

Is Local Financial Health Associated with Citizens’ Quality of Life?

Few studies have analysed the results of public management in terms of social welfare. However, the financial health of local governments is in decline, which means that they are no longer able to provide public services that require financial obligations. This generally results in a reduction in the quality/quantity of public services provided by local governments, thus affecting citizens’ quality of life, since the most important welfare needs are usually related to public services. This study is an original approach to understanding the importance of the financial health of local governments in relation to social welfare. We selected a sample composed of 76 Spanish cities for the period 2008–2010. The results show that citizens who live in municipalities with good financial health have a higher quality of life than others. In general, citizens from municipalities governed by right-wing parties with low political competition tend to have higher levels of quality of life.     

Multidimensional indices of deprivation: the introduction of reference groups weights

The use of a multidimensional approach to deprivation has known an increasing interest in the literature. This paper builds on this literature by proposing a deprivation index that weighs different dimensions according to their perceived importance by members of alternative reference groups. We first characterize a deprivation index following this line of thought. We then apply this method to European data and show that preferences over dimensions are differentiated by reference groups. This differentiation affects the value of deprivation for each country, group and the ranking of each.     

Weighting Elementary Prices in Consumer Price Index Construction Using Spatial Autocorrelation

The Consumer Price Indexes (CPI) are used in current economic systems to measure inflation. When constructing CPIs, however, official institutions have systematically overlooked the spatial dimension of elementary prices. Ignoring the fact that prices are collected at geographical locations implicitly implies considering prices as spatially independent, when in fact they are not. To solve this problem, this article proposes to weight basic price data by taking into account the spatial correlation they display. The weighted geometric and arithmetic means suggested generalize and improve the simple geometric and arithmetic means currently in use.     

The Effect of Verification Bias in the Naïve Estimators of Accuracy of a Binary Diagnostic Test

The assessment of a binary diagnostic test requires a knowledge of the disease status of all the patients in the sample through the application of a gold standard. In practice, the gold standard is not always applied to all of the patients, which leads to the problem of partial verification of the disease. When the accuracy of the diagnostic test is assessed using only those patients whose disease status has been verified using the gold standard, the estimators obtained in this way, known as Naïve estimators, may be biased. In this study, we obtain the explicit expressions of the bias of the Naïve estimators of sensitivity and specificity of a binary diagnostic test. We also carry out simulation experiments in order to study the effect of the verification probabilities on the Naïve estimators of sensitivity and specificity.     

Testing uniformity for the case of a planar unknown support

A new test is proposed for the hypothesis of uniformity on bi‐dimensional supports. The procedure is an adaptation of the “distance to boundary test” (DB test) proposed in Berrendero, Cuevas, & Vázquez‐Grande (2006). This new version of the DB test, called DBU test, allows us (as a novel, interesting feature) to deal with the case where the support S of the underlying distribution is unknown. This means that S is not specified in the null hypothesis so that, in fact, we test the null hypothesis that the underlying distribution is uniform on some support S belonging to a given class ${\cal C}$ . We pay special attention to the case that ${\cal C}$ is either the class of compact convex supports or the (broader) class of compact λ‐convex supports (also called r‐convex or α‐convex in the literature). The basic idea is to apply the DB test in a sort of plug‐in version, where the support S is approximated by using methods of set estimation. The DBU method is analysed from both the theoretical and practical point of view, via some asymptotic results and a simulation study, respectively. The Canadian Journal of Statistics 40: 378–395; 2012 © 2012 Statistical Society of Canada     

Physical and psychosocial indicators among office workers from public sector with and without musculoskeletal symptoms

Work-related musculoskeletal disorders (WRMD) are the result of the combination of different risk factors. They are very common among computer workers, mainly when neck and upper limbs are considered. Forty-two office workers from a public university participated in this study. They were divided into two groups: Symptomatic Subjects (SS, n=20) and Asymptomatic Subjects (AS, n=22), according to the Nordic Musculoskeletal Questionnaire (NMQ). Psychosocial indicators were assessed using the Job Content Questionnaire (JCQ) and Utrecht Work Engagement Scale (UWES). Workplaces were evaluated according to the Ergonomic Workplace Analysis (EWA), proposed by the Finnish Institute of Occupational Health. The NMQ showed higher weekly prevalence of complaints on neck, shoulders and wrist/hands (p=0.00) among SS. The annual prevalence of symptoms on wrist/hands was also higher among SS (p=0.02). The JCQ did not show any difference between groups (p>0.05). Higher proportion of servers with 'high level' of engagement, dedication and absorption, according to UWES, was identified among SS (p<0.01). EWA showed worse scores for 'Work Site', 'Job Content' and 'Repetitiveness of the Work' among SS (p<0.05). Servers are exposed to physical and psychosocial risk factors that can contribute to the development of WRMD. Work conditions need to be change in order to improve musculoskeletal health.     

New critical region tables for Fisher's exact test

The best-known non-asymptotic method for comparing two independent proportions is Fisher's exact text. The usual critical region (CR) tables for this test contain one or more of the following defects:they distinguish between rows and columns; they distinguish between the alternatives H = p1 < p2 and H = p1 > p2; they assume that the error for the two-tailed test is twice that of the one-tailed test; they do not use the optimal version of the test; they do not give both CRs for one and two tails at the same time. All this results in the unnecessary duplication of the space required for the tables, the construction of tables of low-powered methods, or the need to manipulate two different tables (one for the one-tailed test, the other for the two-tailed test). This paper presents CR tables which have been obtained from the most powerful version of Fisher's exact test and which occupy the minimum space possible. The tables, which are valid for one- or two-tailed tests, have levels of significance of 10%, 5% and 1% and values for N (the total size of both samples) of less than or equal to 40. This article shows how to calculate the P value in a specific problem, using the tables as a means of partial checking and as a preliminary step to determining the exact P value.     

Latin America and the Caribbean Revisited: Pathways for Research

This introductory article on Third sector research on Latin America and the Caribbean (LAC) was designed with two objectives in mind. The first, to present readers with a general up to date of the political, economic, and social overview as well as an actualized context of the region, intending to show the needs and trends that individuals and civil society organizations have experienced in the past 20 years by underlining some main advances and shortcomings for LAC. This was done with the intent and idea to provide the understanding of the issues that require attention to be approached in a scholarly and interdisciplinary fashion with a Third sector studies lens. The second was to present a series of pertinent original articles placed into three distinct axis or categories that correspond distinctively to major trends identified by the guest editors of this special issue as social inclusion and development, human rights and public policies and governance of Third sector organizations. The article clearly introduces original material by fourteen specialists in Third sector research who provide results on an ample and wide range of studies and theoretical analysis of this particular region of the world.