The Structure of Social Cohesion: An Analysis of Its Levels and Dimensions in Mexico City1

This article aims to conceptualize and assess social cohesion in Mexico, taking into account their multilevel and multidimensional nature. To measure social cohesion levels and dimensions, we used the Social Welfare Survey (N = 2871) for the 16 municipalities in Mexico City. Then, we employed the distance method to construct a social cohesion index. In addition, we define social cohesion degrees (very high, high, medium, and low) to explore the relevance of each indicator. The findings suggest that the objective and subjective indicators at the meso‐level has the highest contribution, regardless of the territory or degrees of cohesion. This finding suggests that neighborhoods are well organized for solving everyday problems. Meanwhile, the willingness to help both friends and members of one’s network was not a priority, which can be explained by the suspicion toward other people and the prevalent economic conditions.     

The Death Penalty and Historical Change in Spain

This article studies the long duration of the death penalty in Spain until its abolition in the Constitution of 1978. After analysing the plurality of theoretical approaches and possibilities offered by archival sources and specialised historiography (particularly those produced by specialists in the history of law and social history), I synthesise the Spanish answers to the major questions posed in the international historiographical debate on this issue. I then review the formality and the religious and juridical content of these “ceremonies of torment” in order to understand the scope of the practice of the death penalty in processes of social change: what did political power transmit from the scaffolds and what type of social impact was generated by public executions? How did the institutions that exercised the death penalty evolve? Why, during the transition from the Old Regime to the liberal state, was the death penalty used more regularly than before? How many prisoners were in fact executed, for what crimes, and using what procedures and techniques? Finally, after confirming that in the decades straddling the nineteenth and twentieth centuries the death penalty was on the decline, being counteracted by abolitionist discourse in the field of penal sentencing, I examine the functions played by political executions in the repressive dynamics of the Civil War and Francoism.     

The Multiscale Importance of Road Segments in a Network Disruption Scenario: A Risk‐Based Approach

This article addresses the problem of the multiscale importance of road networks, with the aim of helping to establish a more resilient network in the event of a road disruption scenario. A new model for identifying the most important roads is described and applied on a local and regional scale. The work presented here represents a step forward, since it focuses on the interaction between identifying the most important roads in a network that connect people and health services, the specificity of the natural hazards that threaten the normal functioning of the network, and an assessment of the consequences of three real‐world interruptions from a multiscale perspective. The case studies concern three different past events: road interruptions due to a flood, a forest fire, and a mass movement. On the basis of the results obtained, it is possible to establish the roads for which risk management should be a priority. The multiscale perspective shows that in a road interruption the regional system may have the capacity to reorganize itself, although the interruption may have consequences for local dynamics. Coordination between local and regional scales is therefore important. The model proposed here allows for the scaling of emergency response facilities and human and physical resources. It represents an innovative approach to defining priorities, not only in the prevention phase but also in terms of the response to natural disasters, such as awareness of the consequences of road disruption for the rescue services sent out to local communities.     

Swapping the Nested Fixed Point Algorithm: A Class of Estimators for Discrete Markov Decision Models

This paper proposes a new nested algorithm (NPL) for the estimation of a class of discrete Markov decision models and studies its statistical and computational properties. Our method is based on a representation of the solution of the dynamic programming problem in the space of conditional choice probabilities. When the NPL algorithm is initialized with consistent nonparametric estimates of conditional choice probabilities, successive iterations return a sequence of estimators of the structural parameters which we call K–stage policy iteration estimators. We show that the sequence includes as extreme cases a Hotz–Miller estimator (for K=1) and Rust's nested fixed point estimator (in the limit when K→∞). Furthermore, the asymptotic distribution of all the estimators in the sequence is the same and equal to that of the maximum likelihood estimator. We illustrate the performance of our method with several examples based on Rust's bus replacement model. Monte Carlo experiments reveal a trade–off between finite sample precision and computational cost in the sequence of policy iteration estimators.     

Small area estimation of mean price of habitation transaction using time-series and cross-sectional area-level models

In this paper, a new small domain estimator for area-level data is proposed. The proposed estimator is driven by a real problem of estimating the mean price of habitation transaction at a regional level in a European country, using data collected from a longitudinal survey conducted by a national statistical office. At the desired level of inference, it is not possible to provide accurate direct estimates because the sample sizes in these domains are very small. An area-level model with a heterogeneous covariance structure of random effects assists the proposed combined estimator. This model is an extension of a model due to Fay and Herriot [5], but it integrates information across domains and over several periods of time. In addition, a modified method of estimation of variance components for time-series and cross-sectional area-level models is proposed by including the design weights. A Monte Carlo simulation, based on real data, is conducted to investigate the performance of the proposed estimators in comparison with other estimators frequently used in small area estimation problems. In particular, we compare the performance of these estimators with the estimator based on the Rao–Yu model [23]. The simulation study also accesses the performance of the modified variance component estimators in comparison with the traditional ANOVA method. Simulation results show that the estimators proposed perform better than the other estimators in terms of both precision and bias.     

Profiles identification on hierarchical tree structure data sets

In this work we study a way to explore and extract more information from data sets with a hierarchical tree structure. We propose that any statistical study on this type of data should be made by group, after clustering. In this sense, the most adequate approach is to use the Mahalanobis–Wasserstein distance as a measure of similarity between the cases, to carry out clustering or unsupervised classification. This methodology allows for the clustering of cases, as well as the identification of their profiles, based on the distribution of all the variables that characterises each subject associated with each case. An application to a set of teenagers' interviews regarding their habits of communication is described. The interviewees answered several questions about the kind of contacts they had on their phone, Facebook, email or messenger as well as the frequency of communication between them. The results indicate that the methodology is adequate to cluster this kind of data sets, since it allows us to identify and characterise different profiles from the data. We compare the results obtained with this methodology with the ones obtained using the entire database, and we conclude that they may lead to different findings.     

Support,social networks and the family in Portugal: two decades of research

This article presents two major surveys, carried out in Portugal, on the inclusion of families and individuals in social networks of support and affinity. The first, dating from 1999, sought comprehensively to reconstruct families' social networks by mapping effective support relations. The second survey, fielded in 2009–10, followed a family configuration perspective which sought to reconstruct individuals' networks of close relationships, and the issue of informal support only arose as providing further insight into the characteristics of personal networks. Both surveys will be analysed from a comparative perspective which, while stressing their different but connected conceptual orientations, compares each one's methodological strategies and operationalization procedures. Finally, the main results of each survey are outlined, leading to a brief discussion of the ways in which the two surveys complement each other.