Ellsberg paradox: Ambiguity and complexity aversions compared

We present a simple model where preferences with complexity aversion, rather than ambiguity aversion, resolve the Ellsberg paradox. We test our theory using laboratory experiments where subjects choose among lotteries that “range” from a simple risky lottery, through risky but more complex lotteries, to one similar to Ellsberg’s ambiguity urn. Our model ranks lotteries according to their complexity and makes different—at times contrasting—predictions than most models of ambiguity in response to manipulations of prizes. The results support that complexity aversion preferences play an important and separate role from beliefs with ambiguity aversion in explaining behavior under uncertainty.     

Assessing conditional independence for log-linear poisson models with random effects

In the context of regression rnodels with random effects, repeated response are traditionally assumed to be mutually independent conditional on the random effects. In order to asseess the validity of such an assumption and its impact on parameter inference, we propose an estimating equation methodology where both random eifects and within-subject correlation are modeled. This fllows a subsequent analysis on the statistical sianificance of the conditional correlation. We illustrate this method with the epilepsy data of Thall and Vail (1990), and find our method useh in a proper representation for khe random effect modeling.     

Confidence Intervals for a New Characteristic of Central Tendency of Distributions

The t-mean is a new characteristic of the central tendency of continuous distributions. In this article, we introduce a t-difference in the sample space, which is used for a construction of confidence intervals for the t-mean.     

Leverages and Influential Observations in a Regression Model with Autocorrelated Errors

This article deals with the general form of the hat matrix and the DFBETA measure to detect the influential observations and the leverages in the linear regression model with more than one regressor when the errors are from AR(1) and AR(2) processes. Previous studies dealing with the influential observations and the leverages in the constant mean model and regression through the origin model are obtained as special cases. To demonstrate the utility of the hat matrix and the DFBETA measure, two numerical examples based on the ice cream consumption data with AR(1) errors and the Fox-Hartnagel data with AR(2) errors are analyzed. The results show that the parameter of the autoregressive process affects the influential and leverage points.     

A Less Gendered Access to Land? The Impact of Tanzania's New Wave of Land Reform

Contemporary land reforms in sub‐Saharan Africa tend to be evaluated based on the state‐centric reforms of the past, which disadvantaged women. However, this article argues that the new‐wave of land reforms and their decentralised administration institutions and anti‐discriminatory legal frameworks may be different. Based on field research on the implementation of Tanzania's 1999 Land Acts, it identifies an institutional reconfiguration in which the formal institutions are gradually strengthened and the customary institutions slowly changed. This does not in itself pose a threat to women's access to land and some women, who are otherwise often perceived to be weak, are left better‐off. Nevertheless, access to land becomes socially more uneven.     

Associations Online: Barriers for Using Web-Based Communication in Voluntary Associations

Despite the high adoption level of Facebook and other social network sites (SNSs) in Norway, local level voluntary associations have not embraced SNSs to the same degree. Regular websites are the main web representation, and information provision is the main function of the associations’ web representations. Using quantitative data on website content and organizational characteristics we have analyzed which factors hinder SNS adoption. The results point to size and complexity of associations and to age-based digital divides among members as important factors for having a profile on a SNS. It seems that a certain numerical point must be reached in terms of organizational and community size, for SNSs to be useful. Also, older members, smaller economy and a low degree of formalization in associations might hamper the implementation of SNSs in associations. Using Norway as a critical case, this article contributes new knowledge about web communication in voluntary organizations, an increasingly important field of research internationally.     

Radon as a Tracer of Lung Changes Induced by Smoking

After smoking, exposure to radon and its progeny is the second leading cause of lung cancer. The probability of inducing lung carcinomas by inhaled radon progeny depends on the deposited radiation dose, and is significantly affected by physiological and morphometric changes induced by smoking. Due to irritation of the airways, the inhalation of cigarette smoke leads to the hyperproduction of mucus. Two concurrent processes occur: on one hand, increased production of mucus protects the target cells against radiation damage; on the other hand, in the case of long-term smokers, a chronic lung obstruction develops, causing an increase in the radiation dose to the lungs. Depending on the duration and intensity of smoking, these processes contribute to the final radiation dose with different weights. The primary objective of this study was to investigate to what extent these smoke-induced changes can modify the resulting absorbed dose of inhaled radon progeny relative to healthy nonsmokers. Since the bronchial dose depends on the degree of lung tissue damage, we have used this dose as a tool for detecting the effects of smoking on the lung epithelium. In other words, the biological effect of radon served as a tracer of changes induced by smoking.     

Social Background and Placement Course – The Case of Denmark

The scope of this article, founded on a nationwide survey in Denmark, is first to describe the social characteristics of families with a child placed outside home, and, further, to examine whether differences in regard to the parents' social background are correlated with different placement courses. A range of hypotheses on the correlation between social background and the course of placement are examined. It appears, for example, that children from low-resource families come into contact with the social system earlier, and are placed outside the home at an earlier age than children from high-resource families. Low-resource children are more often placed in foster care, and are more often subject to contact restrictions. The article discusses whether these differences reflect a socio-cultural discrimination. Secondly, a discussion is raised whether the supportive measures available are adequate in relation to the serious problems of the families concerned.     

Evaluation of Early Adolescent Subjective Well-Being in Terms of Submissive Behavior and Self-Esteem

This research aimed to investigate the correlation between subjective well-being and submissive behavior and self-esteem in students in the early adolescent period. The research was completed with a relational design. The research group comprised sixth, seventh, and eighth class middle school students in the spring term of the 2015–2016 academic year in Trabzon province. Data collection tools included a Personal Information Form, Submissive Behavior Scale, Two-Dimensional Self-Respect Scale (Self-Liking and Self-Confidence Scale), Satisfaction with Life Scale and Positive and Negative Affect Schedule. The results of the correlation analysis found a significant positive correlation between subjective well-being and self-esteem (r?=?0.54, p?<?0.01; 95% CI [0.44, 0.61], Cohen’s d?=?1.28); however, the correlation between subjective well-being and submissive behavior was not significant (r?=?–0.02, p?>?0.05; 95% CI [–0.11, 0.09], Cohen’s d?=?0.04). There was a significant negative correlation identified between self-esteem and submissive behavior (r?=?–0.10, p < 0.05; 95% CI [–0.20, –0.01], Cohen’s d?=?–0.20). Additionally, according to our findings, self-esteem accounts for 29% of the variation in well-being (F(1, 367)?=?150.79, p?<?0.001). The contribution of self-esteem to the subjective well-being explanatory model was found to be significant (sz?=?0.54, p?<?0.001).