Extended Pareto rules and relative utilitarianism

This paper introduces the “Extended Pareto” axiom on Social Welfare Functions and gives a characterization of the axiom when it is assumed that the Social Welfare Functions that satisfy it in a framework of preferences over lotteries also satisfy the restrictions (on the domain and range of preferences) implied by the von-Neumann Morgenstern axioms. With the addition of 2 other axioms: “Anonymity” and a weak version of Arrow's Independence of Irrelevant Alternatives axiom: “Weak IIA” it is shown that there is a unique Social Welfare Function called “Relative Utilitarianism” that consists of normalising individual utilities between 0 and 1 and adding them. Received: 7 June 1994 / Accepted: 28 April 1997     

Not without them: realising the sustainable development goals for women migrant workers

ABSTRACT

Drawing on multiple data sources, including key informant interviews, participant observation and archival study, this paper provides an analysis of the civil society’s role in foregrounding the agenda of women migrants in migration and development (M&D) fora, and reflects on its role in realising the UN Sustainable Development Goals (SDGs). Yet, the dominant narrative within the state-led Global Forum on Migration and Development (GFMD) tends to be a gender-blind migration for development approach, which emphasises national-level economic growth at the centre of migration processes, while negating the subjectivities of women migrants and neglecting their contributions to the global economy; this approach diverts attention to a narrow focus on macro-economic development through forms of financial remittances. Based on an examination of the GFMD as a site for gender mainstreaming M&D, we reflect on lessons learned as we look forward to achieving the SDGs. We argue that while the SDGs include some significant provisions for women in migration, only critical civil society advocacy and activism networked within grassroots organisations can address the structural changes necessary (such as a re-articulation of the care economy to value economic contributions of women’s reproductive work) to transform and improve the lived realities of women in migration and realise the SDGs in a manner that fosters their empowerment.     

Strong State Society Synergy: A Novel Approach to Governance for Ameliorating Poverty in India

This paper examines the sustainability of a novel institutional architecture, the Strong State Society Synergistic approach, to help ameliorate poverty in India. The motivation for this study stems from the need to unravel the elusive governance puzzle that has long riddled policy-makers in India. Of the profuse vulnerabilities that characterize the Indian society today, the persistence of poverty amid plenty looms as the greatest challenge. It is therefore imperative that institutions that can work for inclusion have to be identified and made effective.     

Exact moments of the symmetric cubic assignment statistic

Hubert (1987Assignment Methods in Combinatorial Data Analysis) presented a class of permutation, or random assignment, techniques for assessing correspondence between general k-dimensional proximity measures on a set of “objects.” A major problem in higher-order assignment models is the prohibitive level of computation that is required. We present the first three exact moments of a test statistic for the symmetric cubic assignment model. Efficient computational formulas for the first three moments have been derived, thereby permitting approximation of the permutation distribution using well-known methods.     

Chinese grand(parenting) encourages a re-imagining of Canada's immigration regime

Canada's migration regime prioritizes the admission of young skilled immigrants while restricting elderly immigrants constructed as non-contributing dependents. We review and compare the current pathways to family reunification for elderly immigrants. Based on interviews with 16 Chinese skilled immigrant mothers and eight sponsored (grand)parents in Edmonton and Ottawa, we highlight the contributions made by elderly Chinese immigrants to social reproduction, intergenerational cultural preservation, and various forms of transnational support. We also reveal the financial and emotional costs incurred by young skilled immigrants who sought to sponsor their elderly parents for permanent residency. Based on these rich conversations, we propose two policy recommendations to reduce the pressure on sponsoring family members and create opportunities for elderly immigrants to access gainful employment.     

Affective politics and reading/writing poetry from the Northeast of India

ABSTRACT

Theorization of cultural and political issues of Northeast of India often creates a disengagement from the actual cultural performances produced in the region. This unique geo-cultural place is sometimes homogenized. In actuality, it is the home of diverse socio-cultural practices and performances. In the context of globalization, deforestation, Christianization, other internal clashes and external influences, material bodies, here, are continuously being rewritten in socio-cultural sphere. Non-representational theory considers poetry as an effective mode of exhibiting the virtual multiplicity of the nonrepresentational world. This paper will focus on exploring the corpus of Northeast Indian English poetry that focuses on social practices and bodily experiences to interpret the entire cultural flow of everyday life. As Non-representational Theory positions ‘affect’ as a central issue to individual and collective disposition in constituting the affective political discourse, this paper will also indicate some political imperatives by advancing a politics of hope in the realm of socio-political sphere.     

Uncertainty Analysis Based on Probability Bounds (P-Box) Approach in Probabilistic Safety Assessment

A wide range of uncertainties will be introduced inevitably during the process of performing a safety assessment of engineering systems. The impact of all these uncertainties must be addressed if the analysis is to serve as a tool in the decision-making process. Uncertainties present in the components (input parameters of model or basic events) of model output are propagated to quantify its impact in the final results. There are several methods available in the literature, namely, method of moments, discrete probability analysis, Monte Carlo simulation, fuzzy arithmetic, and Dempster-Shafer theory. All the methods are different in terms of characterizing at the component level and also in propagating to the system level. All these methods have different desirable and undesirable features, making them more or less useful in different situations. In the probabilistic framework, which is most widely used, probability distribution is used to characterize uncertainty. However, in situations in which one cannot specify (1) parameter values for input distributions, (2) precise probability distributions (shape), and (3) dependencies between input parameters, these methods have limitations and are found to be not effective. In order to address some of these limitations, the article presents uncertainty analysis in the context of level-1 probabilistic safety assessment (PSA) based on a probability bounds (PB) approach. PB analysis combines probability theory and interval arithmetic to produce probability boxes (p-boxes), structures that allow the comprehensive propagation through calculation in a rigorous way. A practical case study is also carried out with the developed code based on the PB approach and compared with the two-phase Monte Carlo simulation results.     

Scoring rule voting games and dominance solvability

This article studies the dominance solvability (by iterated deletion of weakly dominated strategies) of general scoring rule voting games when there are three alternatives. The scoring rules we study include Plurality rule, Approval voting, Borda rule, and Relative Utilitarianism. We provide sufficient conditions for dominance solvability of general scoring rule voting games. The sufficient conditions that we provide for dominance solvability are in terms of one statistic of the game: sufficient agreement on the best alternative or on the worst alternative. We also show that the solutions coincide with the set of Condorcet Winners whenever the sufficient conditions for dominance solvability are satisfied. Approval Voting performs the best in terms of our criteria.     

Search for optimal designs in a three stagenested random model

In this paper we define a class of unbalanced designs, denoted by C_k,s,t, for estimating the components of variance in a k-stage nested random effects linear model. This class contains many of the designs proposed in the literature for nested components of variance models. We focus on the three-state model and discuss the determination of locally optimal designs within this class using a systematic computer search. For large sample sizes we show that approximate optimal designs may be obtained using a limit argument combined with numerical optimization. A comparison of our designs with previously published designs suggests that, in many cases, our designs result in substantial gains in efficiency.