Cultural Circuits of Climate Change in U.K. Broadsheet Newspapers, 1985–2003

This article argues for a cultural perspective to be brought to bear on studies of climate change risk perception. Developing the "circuit of culture" model, the article maintains that the producers and consumers of media texts are jointly engaged in dynamic, meaning-making activities that are context-specific and that change over time. A critical discourse analysis of climate change based on a database of newspaper reports from three U.K. broadsheet papers over the period 1985-2003 is presented. This empirical study identifies three distinct circuits of climate change-1985-1990, 1991-1996, 1997-2003-which are characterized by different framings of risks associated with climate change. The article concludes that there is evidence of social learning as actors build on their experiences in relation to climate change science and policy making. Two important factors in shaping the U.K.'s broadsheet newspapers' discourse on "dangerous" climate change emerge as the agency of top political figures and the dominant ideological standpoints in different newspapers.     

On the estimation of serial correlation in Markov-dependent production processes

In this paper, we present a study about the estimation of the serial correlation for Markov chain models which is used often in the quality control of autocorrelated processes. Two estimators, non-parametric and multinomial, for the correlation coefficient are discussed. They are compared with the maximum likelihood estimator [U.N. Bhat and R. Lal, Attribute control charts for Markov dependent production process, IIE Trans. 22 (2) (1990), pp. 181–188.] by using some theoretical facts and the Monte Carlo simulation under several scenarios that consider large and small correlations as well a range of fractions (p) of non-conforming items. The theoretical results show that for any value of p≠0.5 and processes with autocorrelation higher than 0.5, the multinomial is more precise than maximum likelihood. However, the maximum likelihood is better when the autocorrelation is smaller than 0.5. The estimators are similar for p=0.5. Considering the average of all simulated scenarios, the multinomial estimator presented lower mean error values and higher precision, being, therefore, an alternative to estimate the serial correlation. The performance of the non-parametric estimator was reasonable only for correlation higher than 0.5, with some improvement for p=0.5.     

On diagnostics in multivariate measurement error models under asymmetric heavy-tailed distributions

In this paper, we discuss the extension of some diagnostic procedures to multivariate measurement error models with scale mixtures of skew-normal distributions (Lachos et?al., Statistics 44:541?C556, 2010c). This class provides a useful generalization of normal (and skew-normal) measurement error models since the random term distributions cover symmetric, asymmetric and heavy-tailed distributions, such as skew-t, skew-slash and skew-contaminated normal, among others. Inspired by the EM algorithm proposed by Lachos et?al. (Statistics 44:541?C556, 2010c), we develop a local influence analysis for measurement error models, following Zhu and Lee??s (J R Stat Soc B 63:111?C126, 2001) approach. This is because the observed data log-likelihood function associated with the proposed model is somewhat complex and Cook??s well-known approach can be very difficult to apply to achieve local influence measures. Some useful perturbation schemes are also discussed. In addition, a score test for assessing the homogeneity of the skewness parameter vector is presented. Finally, the methodology is exemplified through a real data set, illustrating the usefulness of the proposed methodology.     

Childhood Circumstances and the Intergenerational Transmission of Socioeconomic Status

A large literature has documented the intergenerational transmission of socioeconomic status (SES). However, the mechanisms by which SES transmits across generations are still little understood. This article investigates whether characteristics determined in childhood play an important role in the intergenerational transmission. Using data from the Cebu Longitudinal Health and Nutrition Survey, I document the extent to which childhood human capital accounts for the intergenerational SES correlation. My results imply that childhood health and nutrition, cognitive and noncognitive abilities, and early schooling account for between one-third and one-half of the relationship between parents' SES and their offspring's SES.     

Population Growth and the Distribution of Household Income: The Case of Brazil*

Special tabulations of the 1970 census of Brazil are used to estimate fertility and mortality rates by level of household income. Projections to the year 2000 indicate that the poor population will grow substantially faster than the rich population. Projections that simulate upward social mobility and declines in fertility and mortality levels do not alter this conclusion. Differential rates of natural increase by income strata are shown to contribute to an increase in the proportion of the population in the lower income strata, by the end of the century. Although these differentials could be reduced by a more equitable distribution of income, the style of development in Brazil has yielded only a small increase in the real income of the poor. Analysis of the income elasticity of fertility and mortality at different levels of household earnings suggest that this pattern of economic growth will further widen differences in the rate of natural increase by socioeconomic strata. The analysis of the demographic behavior of population subgroups questions the assumption that a lower rate of aggregate population growth in developing countries necessarily contributes to a more equitable distribution of income.     

Global Economic Integration and Local Community Resilience: Road Paving and Rural Demographic Change in the Southwestern Amazon

Recent years have witnessed an expansion in international investment in large‐scale infrastructure projects with the goal of achieving global economic integration. We focus on one such project, the Inter‐Oceanic Highway in the “MAP” region, a trinational frontier where Bolivia, Brazil, and Peru meet in the southwestern Amazon. We adopt a resilience approach as an integrative framework to understand various types of road‐paving impacts. We focus on migration activity as an indicator of retention of collective memory, a concept associated with resilience. We pursue a comparative analysis of the three sides of the MAP frontier as well as subregions within each side. Since road paving may be mediated by other factors, we distinguish among the effects of multiple explanatory factors. Data come from a multinational survey of rural communities. The findings show considerable net migration and turnover, both indicative of eroding collective memory and a lack of demographic resilience to externally induced change in the MAP frontier. The findings indicate variation across the frontier, which road paving helps explain, along with some of the mediating factors. These findings contribute to the literature on the impacts of new infrastructure and integration as well as the study of social‐ecological resilience.     

The evolutionary diversity of urban forests depends on their land-use history

Urban Ecosystems - Urbanization leads to strong modifications of landscape structure and ecosystem functioning, and urban areas are spreading rapidly. The aim of this study was to investigate how...     

Workplace Well-being, Gender and Age: Examining the ‘Double Jeopardy’ Effect

This study examines the effects of age and gender on work-related subjective well-being, looking at job-related affective well-being and job satisfaction. Specifically, it investigates whether older women, who may be doubly disadvantaged in being old and being women, are victims of a “double jeopardy” effect. Self-reported survey-data were obtained from 446 adults employed full-time. The results of this study suggest that age seems to matter more than gender in the workplace, and that aging is associated with lower job-related well-being and higher job satisfaction. Although older women reported slightly lower job-related affective well-being than men, the decrease of subjective well-being with age impacts on both genders.     

Modeling nonlinear time series with local mixtures of generalized linear models

The authors consider a novel class of nonlinear time series models based on local mixtures of regressions of exponential family models, where the covariates include functions of lags of the dependent variable. They give conditions to guarantee consistency of the maximum likelihood estimator for correctly specified models, with stationary and nonstationary predictors. They show that consistency of the maximum likelihood estimator still holds under model misspecification. They also provide probabilistic results for the proposed model when the vector of predictors contains only lags of transformations of the modeled time series. They illustrate the consistency of the maximum likelihood estimator and the probabilistic properties via Monte Carlo simulations. Finally, they present an application using real data.