Using auxiliary data for parameter estimation with non-ignorably missing outcomes

We propose a method for estimating parameters in generalized linear models when the outcome variable is missing for some subjects and the missing data mechanism is non-ignorable. We assume throughout that the covariates are fully observed. One possible method for estimating the parameters is maximum likelihood with a non-ignorable missing data model. However, caution must be used when fitting non-ignorable missing data models because certain parameters may be inestimable for some models. Instead of fitting a non-ignorable model, we propose the use of auxiliary information in a likelihood approach to reduce the bias, without having to specify a non-ignorable model. The method is applied to a mental health study.     

Transformational leadership and leader moral orientation: Contrasting an ethic of justice and an ethic of care

Previous research on the moral foundations of transformational leadership has focused on a Kohlbergian (1969, 1976) ethic of justice. However, proposed associations between level of justice reasoning and transformational leadership have received only partial support. We reasoned that an ethic of care would be more consistent with the nature of transformational leadership than would be an ethic of justice. Multilevel regression analyses on data obtained from a sample of leaders (N = 55) and followers (N = 391) at a Canadian university supported our predictions. Specifically, leader propensity toward using an ethic of care was significantly, positively related to follower perceptions of transformational (but not transactional) leadership. Leader propensity toward an ethic of justice was significantly, positively related to follower perceptions of transactional (but not transformational) leadership. Conceptual, research, and practical implications are discussed.     

Fish, field, habitus and madness: the first wave mental health users movement in Great Britain

This paper traces and explains the emergence of the mental health users movement in Great Britain, focusing specifically upon the formation of the Mental Patients Union in the early 1970s. The analysis presented in the paper draws, to some extent, from conventional movement theory. In addition, however, it draws from the work of Pierre Bourdieu. This represents an innovation in movement analysis and the necessity of this innovation is argued for in an early section of the paper.     

Reinforcement‐based vs. Belief‐based Learning Models in Experimental Asymmetric‐information Games

This paper examines the abilities of learning models to describe subject behavior in experiments. A new experiment involving multistage asymmetric‐information games is conducted, and the experimental data are compared with the predictions of Nash equilibrium and two types of learning model: a reinforcement‐based model similar to that used by Roth and Erev (1995), and belief‐based models similar to the ‘cautious fictitious play’ of Fudenberg and Levine (1995, 1998) These models make predictions that are qualitatively similar cycling around the Nash equilibrium that is much more apparent than movement toward it. While subject behavior is not adequately described by Nash equilibrium, it is consistent with the qualitative predictions of the learning models. We examine several criteria for quantitatively comparing the predictions of alternative models. According to almost all of these criteria, both types of learning model outperform Nash equilibrium. According to some criteria, the reinforcement‐based model performs better than any version of the belief‐based model; according to others, there exist versions of the belief‐based model that outperform the reinforcement‐based model. The abilities of these models are further tested with respect to the results of other published experiments. The relative performance of the two learning models depends on the experiment, and varies according to which criterion of success is used. Again, both models perform better than equilibrium in most cases.     

The Transferability of Welfare Models: A Comparison of the Scandinavian and State Socialist Models in Relation to Finland and Estonia

In this paper, two examples of the close relationship between a national social welfare system, and explicit transnational influences are discussed. Both the state socialist and Scandinavian models have a recognized structure independent of the particular countries in which they have been implemented, although they are both associated with a home base, Russia and Sweden respectively. Our examples, Estonia and Finland, faced both common and specific national problems following 1991, which led to rapid change in each country's economic situation and pressure on their respective welfare systems. There were elements of continuity and discontinuity with the main tenets of their respective welfare models, and both structural factors and cultural diffusion will be explored to understand the origin of these changes. The paper could be seen as a case study of welfare changes in the "borderlands" where "old empires meet". The countries were chosen because they are peripheral to what were rival spheres of influence and because they see themselves as having much in common. We also expect changes to occur more rapidly in peripheral areas.     

Using Linked Longitudinal Administrative Data to Identify Social Disadvantage

Social Indicators Research - Administrative data are widely used to construct indicators of social disadvantage, such as Free School Meals eligibility and Indices of Multiple Deprivation, for...     

Quantifying the costs of drought: new evidence from life satisfaction data

We estimate the cost of droughts by matching rainfall data with individual life satisfaction. Our context is Australia over the period 2001 to 2004, which included a particularly severe drought. Using fixed-effect models, we find that a drought in spring has a detrimental effect on life satisfaction equivalent to an annual reduction in income of A$18,000. This effect, however, is only found for individuals living in rural areas. Using our estimates, we calculate that the predicted doubling of the frequency of spring droughts will lead to the equivalent loss in life satisfaction of just over 1% of GDP annually.