Behavioral economics and the value of a statistical life

Journal of Risk and Uncertainty - There are many possible connections between the value of statistical life (VSL) and behavioral economics. A list of topics includes endowment effects, risk...     

When the Norwegian child-welfare services get involved: parents making sense of referrals

There is limited research exploring parents' views and understanding of referrals to the child-welfare services (CWS). This study explores parents' understanding of the circumstances leading to a child-welfare referral, and their understanding of the reporter's objectives in making the referral. Qualitative content analysis and frequency analysis was performed on open-ended survey responses from a sample of 683 Norwegian parents in contact with the CWS. The results showed that the majority (60.2%) of the parents perceived the referral to be initiated solely because of parental difficulties and multiple family life stressors. Some of the parents (22.8%) believed the referrals were initiated exclusively because of their children's problems, whereas a few (13.3%) perceived it to be a combination of parental/familial difficulties and children's problems. The findings reveal that close to half of the parents (46.4%) felt the objective of the person making the referral was to help the child, their parents and the family. Some (36.5%) saw it as a routine or mandated action by public or official services, while others (18.7%) reported that they did not know why referrals had been made, or gave no answer to the question. A small group of parents (6%) viewed the referral as an act of harassment. The main implications of these findings are discussed.     

Data-driven Kriging models based on FANOVA-decomposition

Kriging models have been widely used in computer experiments for the analysis of time-consuming computer codes. Based on kernels, they are flexible and can be tuned to many situations. In this paper, we construct kernels that reproduce the computer code complexity by mimicking its interaction structure. While the standard tensor-product kernel implicitly assumes that all interactions are active, the new kernels are suited for a general interaction structure, and will take advantage of the absence of interaction between some inputs. The methodology is twofold. First, the interaction structure is estimated from the data, using a first initial standard Kriging model, and represented by a so-called FANOVA graph. New FANOVA-based sensitivity indices are introduced to detect active interactions. Then this graph is used to derive the form of the kernel, and the corresponding Kriging model is estimated by maximum likelihood. The performance of the overall procedure is illustrated by several 3-dimensional and 6-dimensional simulated and real examples. A substantial improvement is observed when the computer code has a relatively high level of complexity.     

Dublin’s Seventeenth Century Parishes and the Quality of Life

Social Indicators Research - The registers of Dublin’s parishes in the seventeenth century provide access to aspects of civic and religious life. In the registers are records of burials,...     

ARE WORKERS WILLING TO PAY TO JOIN A BETTER TEAM?

Using data from the Major League Baseball free‐agent market, this study is the first to show that the productivity expected of the team a worker will join produces a significant, negative compensating wage differential. The younger workers in the sample drive this result, trading 25% of their wages to join teams with an expected productivity one standard deviation higher. This investment can be recouped if a reasonable increase in human capital occurs. These results are robust to contract length‐wage simultaneity and indicate that investment in human capital motivates the observed tradeoff, suggesting a new pathway through which human capital accumulation can affect wages. Reliable measures of workers' own past productivity and the productivity expected of a worker's future team provide key advantages to identifying these effects. (JEL J31, J24, M54)     

More than Subversion: Four Strategies for the Dominated

This article asks what strategies are available to dominated actors in fields of cultural production. Using archival and biographical materials on Ottoman/Turkish women intellectuals, we show that they effectively used, depending on their social and cultural capital and their past practices, at least four strategies. Apart from the well-theorized strategy of subversion, they could also deploy acquiescence, collaboration, and defiance. These four strategies, we argue, constitute a two-dimensional space defined by loyalty vs. resistance on one hand and the overtness vs. covertness of loyalty or resistance on the other. While much of this space is best understood in terms of reciprocal social exchange, the assumptions of exchange break down in the case of overt resistance, showing that strategy goes beyond negotiation and that the understanding of power as always-already implicated with resistance has limits.     

Demographic change and shifting views about marine resources and the coastal environment in Downeast Maine

Connections to the sea often define the character of coastal towns. However, as migrants arrive and economic diversification occurs, views about the use of marine resources and the ocean environment can change. Using survey data from Maine, we examined whether shifting demographics affect public perceptions of marine resource uses and coastal environmental concerns. We tested resource use and environmental items against a common set of demographic, background, and place-related variables. Results indicate that the level of education and the county of residence predict Mainers?? views about different marine resource uses and ocean-related environmental issues. Political party affiliation strongly influences environmental concern but not views about the use of marine resources. Migration history, on the other hand, has little effect. Understanding community contexts as well as individual background and ideological orientations will be critical as managers attempt to balance alternative uses of marine resources and resolve coastal environmental problems.     

Bayesian adaptive dose‐escalation designs for simultaneously estimating the optimal and maximum safe dose based on safety and efficacy

The main purpose of dose‐escalation trials is to identify the dose(s) that is/are safe and efficacious for further investigations in later studies. In this paper, we introduce dose‐escalation designs that incorporate both the dose‐limiting events and dose‐limiting toxicities (DLTs) and indicative responses of efficacy into the procedure. A flexible nonparametric model is used for modelling the continuous efficacy responses while a logistic model is used for the binary DLTs. Escalation decisions are based on the combination of the probabilities of DLTs and expected efficacy through a gain function. On the basis of this setup, we then introduce 2 types of Bayesian adaptive dose‐escalation strategies. The first type of procedures, called “single objective,” aims to identify and recommend a single dose, either the maximum tolerated dose, the highest dose that is considered as safe, or the optimal dose, a safe dose that gives optimum benefit risk. The second type, called “dual objective,” aims to jointly estimate both the maximum tolerated dose and the optimal dose accurately. The recommended doses obtained under these dose‐escalation procedures provide information about the safety and efficacy profile of the novel drug to facilitate later studies. We evaluate different strategies via simulations based on an example constructed from a real trial on patients with type 2 diabetes, and the use of stopping rules is assessed. We find that the nonparametric model estimates the efficacy responses well for different underlying true shapes. The dual‐objective designs give better results in terms of identifying the 2 real target doses compared to the single‐objective designs.