Poor and Sick: Estimating the relationship between Household Income and Health

This study evaluates the effect of the individual‘s household income on their health at the later stages of working life. A structural equation model is utilised in order to derive a composite and continuous index of the latent health status from qualitative health status indicators. The endogenous relationship between health status and household income status is taken into account by using IV estimators. The findings reveal a significant effect of individual household income on health before and after endogeneity is taken into account and after a host of other factors which is known to influence health, including hereditary factors and the individual‘s locus of control. Importantly, it is also shown that the childhood socioeconomic position of the individual has long lasting effects on health as it appears to play a significant role in determining health during the later stages of working life.

Differential association of drinking motives with alcohol use on weekdays and weekends.

Drinking motives (DM) reflect the reasons why individuals drink alcohol. Weekdays are mainly dedicated to work, whereas weekends are generally associated with spending time with friends during special events or leisure activities; using alcohol on weekdays and weekends may also be related to different DM. This study examined whether DM were differentially associated with drinking volume (DV) on weekdays and weekends. A representative sample of 5,391 young Swiss men completed a questionnaire assessing weekday and weekend DV, as well as their DM, namely, enhancement, social, coping, and conformity motives. Associations of DM with weekday and weekend DV were examined using structural equation models. Each DM was tested individually in a separate model; all associations were positive and generally stronger (except conformity) for weekend rather than for weekday DV. Further specific patterns of association were found when DM were entered into a single model simultaneously. Associations with weekday and with weekend DV were positive for enhancement and coping motives. However, associations were stronger with weekend rather than with weekday DV for enhancement, and stronger with weekday than with weekend DV for coping motives. Associations of social motives were not significant with weekend DV and negative with weekday DV. Conformity motives were negatively associated with weekend DV and positively related to weekday DV. These results suggest that interventions targeting enhancement motives should be particularly effective at decreasing weekend drinking, whereas interventions targeted at coping motives would be particularly effective at reducing alcohol use on weekdays. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

Development and Consequences of Referendum Campaigns in Switzerland, 1981-1999

Since the early 1990s, new forms of referendum campaigns have emerged in the Swiss political arena. In this paper, we examine how referendum campaigns have transformed in Switzerland, focusing on a number of features: their intensity, duration and inclusiveness (i.e., the variety of actors involved). These features are assumed to change in the long run in response to societal changes and in the short run as a function of variations in elite support. We further argue that public knowledge of ballot issues depends on the characteristics of campaigns. To formally test our hypotheses, we draw on advertisement campaigns in six major Swiss newspapers in the four weeks preceding each ballot from 1981 to 1999 and develop a structural equation model. We indeed find that the duration of referendum campaigns has increased over time, while their inclusiveness has decreased. Most importantly, we find that pub­lic knowledge is strongly related to the characteristics of campaigns

Same wording, distinct concepts? Testing differences between expectancies and motives in a mediation model of alcohol outcomes.

Per definition, alcohol expectancies (after alcohol I expect X), and drinking motives (I drink to achieve X) are conceptually distinct constructs. Theorists have argued that motives mediate the association between expectancies and drinking outcomes. Yet, given the use of different instruments, do these constructs remain distinct when assessment items are matched? The present study tested to what extent motives mediated the link between expectancies and alcohol outcomes when identical items were used, first as expectancies and then as motives. A linear structural equation model was estimated based on a national representative sample of 5,779 alcohol-using students in Switzerland (mean age = 15.2 years). The results showed that expectancies explained up to 38% of the variance in motives. Together with motives, they explained up to 48% of the variance in alcohol outcomes (volume, 5+ drinking, and problems). In 10 of 12 outcomes, there was a significant mediated effect that was often higher than the direct expectancy effect. For coping, the expectancy effect was close to zero, indicating the strongest form of mediation. In only one case (conformity and 5+ drinking), there was a direct expectancy effect but no mediation. To conclude, the study demonstrates that motives are distinct from expectancies even when identical items are used. Motives are more proximally related to different alcohol outcomes, often mediating the effects of expectancies. Consequently, the effectiveness of interventions, particularly those aimed at coping drinkers, should be improved through a shift in focus from expectancies to drinking motives.

Personality factors and alcohol use: a mediator analysis of drinking motives.

Current evidence on the association between personality factors, drinking motives, and alcohol use comes exclusively from North America. The present study, however, is based on a sample of 2090 Swiss college students (mean age 23.5, SD = 2,9) and investigates by means of structural equation modeling whether drinking motives mediate the association between personality factors and alcohol use. The results revealed that extraversion was positively related to drinking for enhancement motives; conscientiousness was negatively related to both enhancement and coping motives; and neuroticism was positively related to drinking for coping motives. The association between extraversion and alcohol use was mediated by enhancement motives, while the negative association between conscientiousness and alcohol use was partially mediated by both enhancement and coping motives. This concurs with the findings of North American studies. However, in contrast to these findings, our study finds that coping motives attenuate the "protective" effect of neuroticism with regard to alcohol use. Taken together, the study indicates that alcohol use serves specific purposes depending on particular personality traits. The finding that personality-related effects are partially mediated by motives increases the likelihood that motive-based preventive efforts will help reduce alcohol use among young adults who display particular personality traits.

Wolves in sheep's clothing: SDO asymmetrically predicts perceived ethnic victimization among White and Latino students across three years

Dominant groups have claimed to be the targets of discrimination on several historical occasions during violent intergroup conflict and genocide.The authors argue that perceptions of ethnic victimization among members of dominant groups express social dominance motives and thus may be recruited for the enforcement of group hierarchy. They examine the antecedents of perceived ethnic victimization among dominants, following 561 college students over 3 years from freshman year to graduation year. Using longitudinal, cross-lagged structural equation modeling, the authors show that social dominance orientation (SDO) positively predicts perceived ethnic victimization among Whites but not among Latinos, whereas victimization does not predict SDO over time. In contrast, ethnic identity and victimization reciprocally predicted each other longitudinally with equal strength among White and Latino students. SDO is not merely a reflection of contextualized social identity concerns but a psychological, relational motivation that undergirds intergroup attitudes across extended periods of time and interacts with the context of group dominance.

Um estudo sobre os aspectos que contribuem para a adoção do canal on-line para compra de livros, CDs e DVDs

O objetivo neste estudo foi identificar os fatores relevantes na adoção do canal on-line para a realização de compras, tendo como principais referências os modelos Unified Theory of Acceptance and Use of Technology (UTAUT), de Venkatesh et al. (2003), de Heijden, Verhagen e Creemers (2003) e de Bramall, Schoefer e McKechnie (2004). Além da revisão da literatura dos assuntos pertinentes, foi realizada uma pesquisa de campo descritiva, de natureza quantitativa com uma amostra de 172 pessoas residentes na cidade de São Paulo, pertencentes às classes socioeconômicas A, B e C (critério Brasil), compradores de livros, CDs ou DVDs no canal off-line. Os dados coletados foram analisados com o uso de técnicas estatísticas nos contextos uni, bi e multivariado. Aplicou-se a técnica de modelagem de equações estruturais (MEE ou Structural Equation Modeling - SEM) para serem identificadas relações de dependência entre construtos e a contribuição de cada um deles na estimação das intenções de adoção da compra pela Internet. Entre os principais resultados encontrados, a atitude em relação ao uso da tecnologia, a confiança e a expectativa de desempenho figuraram como os aspectos mais relevantes para uma possível adoção do canal on-line.

Being Drunk to Have Fun or to Forget Problems? Identifying Enhancement and Coping Drinkers Among Risky Drinking Adolescents

Prevention programs in adolescence are particularly effective if they target homogeneous risk groups of adolescents who share a combination of particular needs and problems. The present work aims to identify and classify risky single-occasion drinking (RSOD) adolescents according to their motivation to engage in drinking. An easy-to-use coding procedure was developed. It was validated by means of cluster analyses and structural equation modeling based on two randomly selected subsamples of a nationally representative sample of 2,449 12- to 18-year-old RSOD students in Switzerland. Results revealed that the coding procedure classified RSOD adolescents as either enhancement drinkers or coping drinkers. The high concordance (Sample A: kappa - .88, Sample B: kappa - .90) with the results of the cluster analyses demonstrated the convergent validity of the coding classification. The fact that enhancement drinkers in both subsamples were found to go out more frequently in the evenings and to have more satisfactory social relationships, as well as a higher proportion of drinking peers and a lower likelihood to drink at home than coping drinkers demonstrates the concurrent validity of the classification. To conclude, the coding procedure appears to be a valid, reliable, and easy-to-use tool that can help better adapt prevention activities to adolescent risky drinking motives.

Swain: Stata module to correct the SEM chi-square overidentification test in small sample sizes or complex models. Statistical Software Components S457617, Boston College Department of Economics.

Swain corrects the chi-square overidentification test (i.e., likelihood ratio test of fit) for structural equation models whethr with or without latent variables. The chi-square statistic is asymptotically correct; however, it does not behave as expected in small samples and/or when the model is complex (cf. Herzog, Boomsma, & Reinecke, 2007). Thus, particularly in situations where the ratio of sample size (n) to the number of parameters estimated (p) is relatively small (i.e., the p to n ratio is large), the chi-square test will tend to overreject correctly specified models. To obtain a closer approximation to the distribution of the chi-square statistic, Swain (1975) developed a correction; this scaling factor, which converges to 1 asymptotically, is multiplied with the chi-square statistic. The correction better approximates the chi-square distribution resulting in more appropriate Type 1 reject error rates (see Herzog & Boomsma, 2009; Herzog, et al., 2007).

Bridging DSGE models and the raw data

A method to estimate DSGE models using the raw data is proposed. The approachlinks the observables to the model counterparts via a flexible specification which doesnot require the model-based component to be solely located at business cycle frequencies,allows the non model-based component to take various time series patterns, andpermits model misspecification. Applying standard data transformations induce biasesin structural estimates and distortions in the policy conclusions. The proposed approachrecovers important model-based features in selected experimental designs. Twowidely discussed issues are used to illustrate its practical use.

Asymptotic robust inferences in the analysis of mean and covariance structures

Structural equation models are widely used in economic, socialand behavioral studies to analyze linear interrelationships amongvariables, some of which may be unobservable or subject to measurementerror. Alternative estimation methods that exploit different distributionalassumptions are now available. The present paper deals with issues ofasymptotic statistical inferences, such as the evaluation of standarderrors of estimates and chi--square goodness--of--fit statistics,in the general context of mean and covariance structures. The emphasisis on drawing correct statistical inferences regardless of thedistribution of the data and the method of estimation employed. A(distribution--free) consistent estimate of $\Gamma$, the matrix ofasymptotic variances of the vector of sample second--order moments,will be used to compute robust standard errors and a robust chi--squaregoodness--of--fit squares. Simple modifications of the usual estimateof $\Gamma$ will also permit correct inferences in the case of multi--stage complex samples. We will also discuss the conditions under which,regardless of the distribution of the data, one can rely on the usual(non--robust) inferential statistics. Finally, a multivariate regressionmodel with errors--in--variables will be used to illustrate, by meansof simulated data, various theoretical aspects of the paper.

Evaluating predictive densities of U.S. output growth and inflation in a large macroeconomic data set

We evaluate conditional predictive densities for U.S. output growth and inflationusing a number of commonly used forecasting models that rely on a large number ofmacroeconomic predictors. More specifically, we evaluate how well conditional predictive densities based on the commonly used normality assumption fit actual realizationsout-of-sample. Our focus on predictive densities acknowledges the possibility that, although some predictors can improve or deteriorate point forecasts, they might have theopposite effect on higher moments. We find that normality is rejected for most modelsin some dimension according to at least one of the tests we use. Interestingly, however,combinations of predictive densities appear to be correctly approximated by a normaldensity: the simple, equal average when predicting output growth and Bayesian modelaverage when predicting inflation.

Multiple filtering devices for the estimation of cyclical DSGE models

We propose a method to estimate time invariant cyclical DSGE models using the informationprovided by a variety of filters. We treat data filtered with alternative procedures as contaminated proxies of the relevant model-based quantities and estimate structural and non-structuralparameters jointly using a signal extraction approach. We employ simulated data to illustratethe properties of the procedure and compare our conclusions with those obtained when just onefilter is used. We revisit the role of money in the transmission of monetary business cycles.