The Effects of Modern Treaties and Opt-In Legislation on Household Incomes in Aboriginal Communities

This paper investigates the influence of country risks, including economic, financial, and political risks, on income inequality for a broad sample of 110 countries. Our empirical results reveal that higher economic and political risks generally lead to higher inequality. Lower income country appears to have higher income inequality. Furthermore, with the consideration of the non-monotonic effect of country risk, the improvement of income distribution is only sustainable dynamically after a certain threshold level of country risk has been brought down. Policymakers should improve the level of country stability by exploring the benefits of country risk reduction in order to improve income distribution.     

The intersection of social protection and mobilities: a move towards a ‘Practical Utopia’ research agenda

Currently, a number of contributions in mobility studies are looking for fruitful intersections with other ‘adjacent’ approaches . In this spirit, our theoretical paper argues to study one particular aspect: the intersection of social protection and mobilities. Currently, the provision of social services in the ‘West’ is strongly entrenched within nation-state logics, which assume that clients’ immobility is a precondition of service delivery and that national citizenship is the desirable conditionality of gaining social rights. To overcome such a wide-spread conflation of social security with state security, we introduce the heuristic concept ‘social protection’. It allows social security to be imagined beyond a state-centric perspective and avoids the pitfalls of either a citizenship or a migration approach by taking on a mobility perspective. Thus, for scholars anchored in mobility studies we propose how to develop a social security perspective in a progressive way. For readers from other areas, e.g. citizenship, migration or social policy, we will show how a mobility perspective enriched by a No Border approach can overcome a narrow Western, statist and static perspective on social security. Our goal is to conceptually open up what we call a ‘practical utopia’ research agenda, one that expands our political horizons for future and present socialities.     

Banking on Identity: Constructing a Canadian Banking Identity One Branch at a Time

This paper seeks to explore the role that the Canadian branch banking structure has played in producing a national Canadian economic space as well as nationally oriented conservative Canadian banking subjects. Explosive growth in the scope of Canadian bank branch networks between 1880 and 1930, both in terms of number of branches and their geographic range, forced banks to re‐evaluate their management practices. To manage an increasingly unwieldy structure, banks worked to centralize control and homogenize operations and the bankers themselves. Through centralization, bank head offices developed more robust branch reporting tools, which allowed them collect and repurpose disparate data into new national level information and knowledge. Working as centres of calculation, bank head offices used this new information to integrate a nationalist outlook throughout the network, deploying disciplinary technologies and techniques, in an effort to detach bankers from a local or regional orientation. This paper shows that, rather than merely a tool for efficient allocation of capital, the branching structure is a productive socio‐technical structure, which helped to construct the very nature of the national space it sought to manage.     

Bayesian variable selection using an adaptive powered correlation prior

The problem of selecting the correct subset of predictors within a linear model has received much attention in recent literature. Within the Bayesian framework, a popular choice of prior has been Zellner's g$g$-prior which is based on the inverse of empirical covariance matrix of the predictors. An extension of the Zellner's prior is proposed in this article which allow for a power parameter on the empirical covariance of the predictors. The power parameter helps control the degree to which correlated predictors are smoothed towards or away from one another. In addition, the empirical covariance of the predictors is used to obtain suitable priors over model space. In this manner, the power parameter also helps to determine whether models containing highly collinear predictors are preferred or avoided. The proposed power parameter can be chosen via an empirical Bayes method which leads to a data adaptive choice of prior. Simulation studies and a real data example are presented to show how the power parameter is well determined from the degree of cross-correlation within predictors. The proposed modification compares favorably to the standard use of Zellner's prior and an intrinsic prior in these examples.     

Some finite sample properties of generalized ridge regression estimators

In this paper we study the mean square error properties of the generalized ridge estimator. We obtain the exact and the approximate bias and the mean square error of the operational generalized ridge estimator in terms of G( ) functions. We show, among other things, that the operational generalized ridge estimator does not dominate the ordinary least squares estimator up to a certain order of approximation. Finally, we note that the iterative procedures to obtain coverging ridge estimators should be used with caution.     

An easy method of constructing latin square designs balanced for the immediate residual and other order effects

Bradley (1958) proposed a very simple procedure for constructing latin square designs to counterbalance the immediate sequential effect for an even number of treatments. When the number of treatments is odd, balance in a single latin square is not possible. In the present note we have developed an analogous method for the construction of such designs which may be used for an even or odd number of treatments. A proof has also been offered to assure the general validity of the procedure.     

The Community Readiness Survey. Development and initial validation

This article reports on the development and evaluation of a mail survey measuring population attitudes toward substance use of potential receptivity of communities to different prevention efforts. The Community Readiness Survey was designed through a series of prevention practitioner and consultant meetings and focus groups. Psychometric evaluation revealed five distinct domains: perception of alcohol, tobacco, or other drug problem; support for prevention; permissive attitudes toward teen substance use; perception of adolescent access; and perception of community commitment. Evidence of construct validity was demonstrated by the small but significant relationships between selected scale scores and community readiness as evaluated by prevention planners.     

Bayesian analysis of head and neck cancer data using generalized inverse Lindley stress–strength reliability model

In this article, we present the analysis of head and neck cancer data using generalized inverse Lindley stress–strength reliability model. We propose Bayes estimators for estimating P(X > Y), when X and Y represent survival times of two groups of cancer patients observed under different therapies. The X and Y are assumed to be independent generalized inverse Lindley random variables with common shape parameter. Bayes estimators are obtained under the considerations of symmetric and asymmetric loss functions assuming independent gamma priors. Since posterior becomes complex and does not possess closed form expressions for Bayes estimators, Lindley’s approximation and Markov Chain Monte Carlo techniques are utilized for Bayesian computation. An extensive simulation experiment is carried out to compare the performances of Bayes estimators with the maximum likelihood estimators on the basis of simulated risks. Asymptotic, bootstrap, and Bayesian credible intervals are also computed for the P(X > Y).