Latin American convergence and divergence towards the mortality profiles of developed countries

It is uncertain whether Latin America and Caribbean (LAC) countries are approaching a single mortality regime. Over the last three decades, LAC has experienced major public health interventions and the highest number of homicides in the world. However, these interventions and homicide rates are not evenly shared across countries. This study documents trends in life expectancy and lifespan variability for 20 LAC countries, 2000–14. By extending a previous method, we decompose differences in lifespan variability between LAC and a developed world benchmark into cause-specific effects. For both sexes, dispersion of amenable diseases through the age span makes the largest contribution to the gap between LAC and the benchmark. Additionally, for males, the concentration of homicides, accidents, and suicides in mid-life further impedes mortality convergence. Great disparity exists in the region: while some countries are rapidly approaching the developed regime, others remain far behind and suffer a clear disadvantage in population health.     

Social work and applied theatre: creative experiences with a group of homeless people in the city of Seville

This article presents a series of creative social intervention experiences developed with a group of homeless people in the Spanish city of Seville. These experiences are part of an applied research project that uses theatre as a tool to aid social work, and they are led by a group of homeless people who have become actors through this initiative. The group is known as ‘Theatre of Inclusion’ and has been running for a decade now. Using group social work and applied theatre techniques, this initiative creatively exposes the needs of this collective and also generates spaces in which they can reclaim their dignity. The systematisation of these experiences highlights the potential of combining disciplines such as social work and theatre to work with vulnerable collectives, in the same way Jane Addams did. The aim is also to move beyond the dominant welfare proposals in place in Spain currently, which are intended to meet the needs of homeless people.     

Book reviews

New scholarship on rape in American history

Sex Without Consent: Rape and Sexual Coercion in America. Edited by Merril D. Smith. New York: New York University Press, 2001, 308 pages. Cloth, $60.00; paper, $19.50.

The enigma of sexual desire

Sexual Appetite, Desire and Motivation: Energetics of the Sexual System. Edited by Walter Everaerd, Ellen Laan, and Stephanie Both. Amsterdam, Netherlands: Knaw Edita, 2001, 156 pages. Paper, NLG 80.00, Euro 36.30.

American sex in the private and public sectors

Sex, Love, and Health in America: Private Choices and Public Policies. Edited by Edward O. Laumann and Robert T. Michael. Chicago, IL: The University of Chicago Press, 2000, 535 pages. Hardcover, $48.

Enlarging the landscape of sexual pleasure

Good Sex: Feminist Perspectives from the World's Religions. Edited by Patricia Beattie Jung, Mary E. Hunt, and Radhika Balakrishnan. New Brunswick, NJ: Rutgers University Press, 2001, 220 pages. Cloth, $50.00; paper, $20.00.

Another stab at sexual theory

The Role of Theory in Sex Research. Edited by John Bancroft. Bloomington, IN: Indiana University Press, 2000, 366 pages. Cloth, $49.95.     

Testing the Martingale Difference Hypothesis

In this paper we consider testing that an economic time series follows a martingale difference process. The martingale difference hypothesis has typically been tested using information contained in the second moments of a process, that is, using test statistics based on the sample autocovariances or periodograms. Tests based on these statistics are inconsistent since they cannot detect nonlinear alternatives. In this paper we consider tests that detect linear and nonlinear alternatives. Given that the asymptotic distributions of the considered tests statistics depend on the data generating process, we propose to implement the tests using a modified wild bootstrap procedure. The paper theoretically justifies the proposed tests and examines their finite sample behavior by means of Monte Carlo experiments.     

Union use of employee pension funds: Introduction and overview

Summary and Conclusions A case can be made that labor unions are seeking to gain control of the financial leverage of employee pension funds as a means of offsetting a secular decline in membership which has occurred over the past twenty years and which has been accelerating. Pension fund assets are now substantial and are growing very rapidly so that even partial or indirect influence over investment policies could have major impacts on the economy. Unions have already achieved success on a limited scale with the pension fund weapon. Their intention to achieve widespread influence through this vehicle is signalled by the establishment in January, 1981, of a monthly newsletter,Labor & Investments which is devoted exclusively to the union use of employee pension funds. In sum, it is clear that the union use of employee pension funds is a very timely and significant topic. The papers that follow may not provide definitive answers to the many questions produced by this new initiative, but they do enhance our understanding of the issues involved.     

Symbolic correlation integral

This paper aims to introduce the concept of symbolic correlation integral SC that is extensively used in many scientific fields. The new correlation integral SC avoids the noisy parameter 𝜀 of the classical correlation integral, defined by Grassberger and Procaccia (1983 Grassberger, P., Procaccia, I. (1983). Measuring the strangeness of strange attractors. Physica D: Nonlinear Phenomena 9(1–2):189–208.[Crossref], [Web of Science ®] , [Google Scholar]) and extensively used for constructing correlation-integral-based statistics, as in the BDS test. Once the free parameter 𝜀 disappears, it is possible to construct a nonparametric powerful test for independence that can also be used as a diagnostic tool for model selection. The symbolic correlation integral is also extended to deal with multivariate models, and a test for causality is proposed as an example of the theoretical power of the new concept. With extensive Monte Carlo simulations, the paper shows the good size and power performance of symbolic correlation-integral-based tests.     

Influence diagnostics for the structural sharpe model under normal/independent distributions

A method is proposed in this paper to assess the local influence of minor perturbations for the Sharpe model when the normal distribution is replaced by normal/independent (NI) distributions. The family of NI distributions is an attractive class of symmetric heavy-tailed densities that includes as special cases the normal, t-Student, slash, and the contaminated normal distributions. Since the returns of the market are not observable, the statistical analysis is carried out in the context of an errors-in-variables model. An influence analysis for detecting influential observations (atypical returns) is developed to investigate the sensitivity of the maximum likelihood estimators. Diagnostic measures are obtained based on the conditional expectation of the complete-data log-likelihood function. The results are illustrated by using a set of shares of companies traded in the Chilean stock market.     

Campylobacter QMRA: A Bayesian Estimation of Prevalence and Concentration in Retail Foods Under Clustering and Heavy Censoring

A Bayesian statistical temporal‐prevalence‐concentration model (TPCM) was built to assess the prevalence and concentration of pathogenic campylobacter species in batches of fresh chicken and turkey meat at retail. The data set was collected from Finnish grocery stores in all the seasons of the year. Observations at low concentration levels are often censored due to the limit of determination of the microbiological methods. This model utilized the potential of Bayesian methods to borrow strength from related samples in order to perform under heavy censoring. In this extreme case the majority of the observed batch‐specific concentrations was below the limit of determination. The hierarchical structure was included in the model in order to take into account the within‐batch and between‐batch variability, which may have a significant impact on the sample outcome depending on the sampling plan. Temporal changes in the prevalence of campylobacter were modeled using a Markovian time series. The proposed model is adaptable for other pathogens if the same type of data set is available. The computation of the model was performed using OpenBUGS software.     

On the Evolution and Asymptotic Analysis of Open Markov Populations: Application to Consumption Credit

In this paper, we study, by means of randomized sampling, the long-run stability of some open Markov population fed with time-dependent Poisson inputs. We show that state probabilities within transient states converge—even when the overall expected population dimension increases without bound—under general conditions on the transition matrix and input intensities.

Following the convergence results, we obtain ML estimators for a particular sequence of input intensities, where the sequence of new arrivals is modeled by a sigmoidal function. These estimators allow for the forecast, by confidence intervals, of the evolution of the relative population structure in the transient states.

Applying these results to the study of a consumption credit portfolio, we estimate the implicit default rate.     

Social support and life satisfaction among gay men in Spain

Since the early 1960s, social support has been a topic of interest and study among social psychologists and other professionals investigating social issues. In spite of this growing interest by the scientific community, there are few studies on social support in the lesbian, gay, bisexual, and transgender (LGBT) community, and even fewer on the impact of social support on life satisfaction. In this regard, in Spain, there are very few psychosocial studies on homosexual groups. In the present study, the authors analyze social support data and life satisfaction in a sample of 220 gay residents of Málaga and Sevilla. The results show that friends are the most important source of overall social support, and that, in the family, sisters provide the most support and contribute to increased life satisfaction. On the other hand, social support had an effect on the level of life satisfaction, although the results indicate that factors associated with homosexual identity are the best predictors of life satisfaction. The implications of these results are discussed as well as potential future research.