472 resultados para Inequity Aversion


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Swift often noted his aversion to coffee-house conversation and to tavern talk, to gossip and company, and to being buried in Dublin in the years of his Deanship. Yet the popular myth of a morose, unsociable Swift belies both his engagement with various literary and political clubs in his early career and his participation in collaborative and experimental poetic games in his Dublin circles. This essay considers Swift’s involvement with three clubs in London (the Saturday Club, the Brothers’ Club, and the Scriblerians) and his writings on a number of fictional clubs (the Athenian Society, the Calves-Head Club, and a putative Society for the correction of the English language). While Swift wrote very little of his experience of actual clubs, the latter three, in addition to the Scriblerian Club as an imagined, rather than actual clubs, resulted in a number of defining poems and works in his career. When Swift settled in Dublin, poetry written and exchanged in a number of sociable circles characterised much of his published verse and gave glimpses of the circles and informal clubs which he formed among friends there. Although these poems are often dismissed as ‘trifles’, the essay argues that the poems are crucial for our understandings of ‘conversational culture’ or sociability in Swift’s Dublin.

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Land wars in India: Contestations, social forces and evolving neoliberal urban transformation
The recent incidents of ‘land wars’ in India have highlighted the contradictions and challenges of the neoliberal urban transformation through a range of issues across governance, equity and empowerment in the development agenda. Simply put, a strong top down approach and corporate-political nexus have determined the modality of land acquisition, compensation and ultimately the nature of its consumption leaving out majority urban poor from its benefits. The paper focuses on the concept of neoliberalism as a modality of urban governance and emergence of the grassroots activism as a countermagnate to neoliberalist hegemony by examining the inequity and marginalization that embody these ‘land wars’ in India and the forms of resistance from the grassroots - their capacity, relationship and modus operandi. Emerging lessons suggest the potential for advancing governance from the bottoms up leading to more equitable distribution of resources. It is however argued that there is a need for a stronger conception of the ‘grassroots’ in both epistemological and empirical context. In particular, the preconditions for the ‘grassroots organisations’ to foster and play a more effective role requires a more inclusive notion of ‘institutionality and plurality’ within the current political economic context. The empirical focus of the paper is ‘land wars’ observed in Kolkata, West Bengal, however references to other examples across the country have also been made.

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Attempts to record, understand and respond to variations in child welfare and protection reporting, service patterns and outcomes are international, numerous and longstanding. Reframing such variations as an issue of inequity between children and between families opens the way to a new approach to explaining the profound difference in intervention rates between and within countries and administrative districts. Recent accounts of variation have frequently been based on the idea that there is a binary division between bias and risk (or need). Here we propose seeing supply (bias) and demand (risk) factors as two aspects of a single system, both framed, in part, by social structures. A recent finding from a study of intervention rates in England, the 'inverse intervention law', is used to illustrate the complex ways in which a range of factors interact to produce intervention rates. In turn, this analysis raises profound moral, policy, practice and research questions about current child welfare and child protection services.

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The ability of an autonomous agent to select rational actions is vital in enabling it to achieve its goals. To do so effectively in a high-stakes setting, the agent must be capable of considering the risk and potential reward of both immediate and future actions. In this paper we provide a novel method for calculating risk alongside utility in online planning algorithms. We integrate such a risk-aware planner with a BDI agent, allowing us to build agents that can set their risk aversion levels dynamically based on their changing beliefs about the environment. To guide the design of a risk-aware agent we propose a number of principles which such an agent should adhere to and show how our proposed framework satisfies these principles. Finally, we evaluate our approach and demonstrate that a dynamically risk-averse agent is capable of achieving a higher success rate than an agent that ignores risk, while obtaining a higher utility than an agent with a static risk attitude.

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A conjuntura atual económica, financeira e social tem pressionado o uso racional dos recursos existentes, seja pelo setor privado ou pelo setor público. Contudo, nem sempre as empresas e organizações conseguem fazê-lo da melhor forma possível, seja por falta de experiência, por falta de conhecimento ou simplesmente pela aversão à mudança. É no contexto de redução de custos/ gastos que a gestão Lean tem vindo a afirmar-se como um método/filosofia eficaz e o suficientemente flexível e robusta para se adaptar a diferentes realidades organizacionais. Nesse seguimento, este relatório testemunha a introdução da gestão Lean numa organização do Terceiro Setor – Centro Social e Paroquial da Vera Cruz, e questiona o seu valor acrescentado mesmo se implementada numa lógica parcelar e numa organização ainda globalmente longe de estar organizada segundo uma lógica Lean. Os resultados obtidos no âmbito do projeto em questão parecem apontar para uma operação bem sucedida e com boas perspetivas futuras, caso a referida organização dê continuidade à sua implementação.

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In einem Artikel der Zeitschrift Die Zeit wird die Generation Y, die Generation deren Angehörige derzeit zum Großteil ihre akademische Ausbildung beenden und sich dem Arbeitsmarkt zuwenden, auch als Generation Pippi, angelehnt an Astrid Lindgrens Kinderbuchheldin Pippi Langstrumpf, bezeichnet (Bund et al., 2013: 1). Individualität, eine ausgeprägte Abneigung gegenüber Autoritätspersonen, der Wunsch nach Spaß und Abwechslung sowie das Bestreben, sich selbst zu verwirklichen, charakterisieren Pippi Langstrumpf (Bund et al., 2013: 1). Diese Charakterbeschreibungen werden z. T. auf die Generation Y übertragen und stellen Unternehmen vor eine Herausforderung: Um Arbeitnehmer der Generation Y affektiv zu binden, so dass sich in diese getätigte und noch zu tätigenden Investitionen rentieren, müssen neue Strategien entwickelt werden. Innerhalb dieser Bachelorarbeit konnten erste Erkenntnisse dahingehend gewonnen werden, dass u. a. Work-Life-Balance Maßnahmen, (gesundheitsorientierte) Führung, ein positives Arbeitsklima und Mitbestimmung als Auslöser affektiven organisationalen Commitments der Generation Y fungieren können. Bei der nachfolgend dargestellten Arbeit handelt es sich um eine überarbeitete Version der gleichnamigen Bachelorarbeit, die von Prof. Dr. Sven Litzcke sowie von Prof. Dr. Dr. Daniel Wichelhaus betreut wurde.

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In this paper, a stochastic programming approach is proposed for trading wind energy in a market environment under uncertainty. Uncertainty in the energy market prices is the main cause of high volatility of profits achieved by power producers. The volatile and intermittent nature of wind energy represents another source of uncertainty. Hence, each uncertain parameter is modeled by scenarios, where each scenario represents a plausible realization of the uncertain parameters with an associated occurrence probability. Also, an appropriate risk measurement is considered. The proposed approach is applied on a realistic case study, based on a wind farm in Portugal. Finally, conclusions are duly drawn. (C) 2011 Elsevier Ltd. All rights reserved.

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Short-term risk management is highly dependent on long-term contractual decisions previously established; risk aversion factor of the agent and short-term price forecast accuracy. Trying to give answers to that problem, this paper provides a different approach for short-term risk management on electricity markets. Based on long-term contractual decisions and making use of a price range forecast method developed by the authors, the short-term risk management tool presented here has as main concern to find the optimal spot market strategies that a producer should have for a specific day in function of his risk aversion factor, with the objective to maximize the profits and simultaneously to practice the hedge against price market volatility. Due to the complexity of the optimization problem, the authors make use of Particle Swarm Optimization (PSO) to find the optimal solution. Results from realistic data, namely from OMEL electricity market, are presented and discussed in detail.

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Dissertação para obtenção do grau de Mestre em Engenharia Eletrotécnica

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In broad sense, Project Financing1 as a mean of financing large scale infrastructural projects worldwide has had a steady growth in popularity for the last 20 years. This growth has been relatively unscathed from most economic cycles. However in the wake of the 2007 systemic Financial Crisis, Project Financing was also in trouble. The liquidity freeze and credit crunch that ensued affected all parties involved. Traditional Lenders, of this type of financial instrument, locked-in long-term contractual obligations, were severely hit with scarcity of funding compounded by rapidly increasing cost of funding. All the while, Banks were “rescued” by the concerted actions of Central Banks and other Multi-Lateral Agencies around the world but at the same time “stressed” by upcoming regulatory effort (Basel Committee). This impact resulted in specific changes to this type of long-term financing. Changes such as Commercial Banks’ increased risk aversion; pricing increase and maturities decrease of credit facilities; enforcement of Market Disruption Event clauses; partial responsibility for project risk by Multilateral Agencies; and adoption of utility-like availability payments in other industrial sectors such as transportation and even social infrastructure. To the extent possible, this report is then divided in three parts. First, it begins with a more instructional part, touching academic literature (theory) and giving the Banks perspective (practice), but mostly as an overview of Project Finance for awareness’ sake. The renowned Harvard Business School professor – Benjamin Esty, states2 that Project Finance is a “relatively unexplored territory for both empirical and theoretical research” which means that academic research efforts are lagging the practice of Project Finance. Second, the report presents a practical case regarding the first Road Concession in Portugal in 1998 ending with the lessons learned 10 years after Financial Close. Lastly, the report concludes with the analysis of the current trends and changes to the industry post Financial Crisis of the late 2000’s. To achieve this I’ll reference relevant papers, books on the subject, online articles and my own experience in the Project Finance Department at a major Portuguese Investment Bank. Regarding the latter, with the signing of a confidentiality agreement, I’m duly omitting sensitive and proprietary bank information.

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Préface My thesis consists of three essays where I consider equilibrium asset prices and investment strategies when the market is likely to experience crashes and possibly sharp windfalls. Although each part is written as an independent and self contained article, the papers share a common behavioral approach in representing investors preferences regarding to extremal returns. Investors utility is defined over their relative performance rather than over their final wealth position, a method first proposed by Markowitz (1952b) and by Kahneman and Tversky (1979), that I extend to incorporate preferences over extremal outcomes. With the failure of the traditional expected utility models in reproducing the observed stylized features of financial markets, the Prospect theory of Kahneman and Tversky (1979) offered the first significant alternative to the expected utility paradigm by considering that people focus on gains and losses rather than on final positions. Under this setting, Barberis, Huang, and Santos (2000) and McQueen and Vorkink (2004) were able to build a representative agent optimization model which solution reproduced some of the observed risk premium and excess volatility. The research in behavioral finance is relatively new and its potential still to explore. The three essays composing my thesis propose to use and extend this setting to study investors behavior and investment strategies in a market where crashes and sharp windfalls are likely to occur. In the first paper, the preferences of a representative agent, relative to time varying positive and negative extremal thresholds are modelled and estimated. A new utility function that conciliates between expected utility maximization and tail-related performance measures is proposed. The model estimation shows that the representative agent preferences reveals a significant level of crash aversion and lottery-pursuit. Assuming a single risky asset economy the proposed specification is able to reproduce some of the distributional features exhibited by financial return series. The second part proposes and illustrates a preference-based asset allocation model taking into account investors crash aversion. Using the skewed t distribution, optimal allocations are characterized as a resulting tradeoff between the distribution four moments. The specification highlights the preference for odd moments and the aversion for even moments. Qualitatively, optimal portfolios are analyzed in terms of firm characteristics and in a setting that reflects real-time asset allocation, a systematic over-performance is obtained compared to the aggregate stock market. Finally, in my third article, dynamic option-based investment strategies are derived and illustrated for investors presenting downside loss aversion. The problem is solved in closed form when the stock market exhibits stochastic volatility and jumps. The specification of downside loss averse utility functions allows corresponding terminal wealth profiles to be expressed as options on the stochastic discount factor contingent on the loss aversion level. Therefore dynamic strategies reduce to the replicating portfolio using exchange traded and well selected options, and the risky stock.

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Salt taste in mammals can trigger two divergent behavioural responses. In general, concentrated saline solutions elicit robust behavioural aversion, whereas low concentrations of NaCl are typically attractive, particularly after sodium depletion. Notably, the attractive salt pathway is selectively responsive to sodium and inhibited by amiloride, whereas the aversive one functions as a non-selective detector for a wide range of salts. Because amiloride is a potent inhibitor of the epithelial sodium channel (ENaC), ENaC has been proposed to function as a component of the salt-taste-receptor system. Previously, we showed that four of the five basic taste qualities-sweet, sour, bitter and umami-are mediated by separate taste-receptor cells (TRCs) each tuned to a single taste modality, and wired to elicit stereotypical behavioural responses. Here we show that sodium sensing is also mediated by a dedicated population of TRCs. These taste cells express the epithelial sodium channel ENaC, and mediate behavioural attraction to NaCl. We genetically engineered mice lacking ENaCalpha in TRCs, and produced animals exhibiting a complete loss of salt attraction and sodium taste responses. Together, these studies substantiate independent cellular substrates for all five basic taste qualities, and validate the essential role of ENaC for sodium taste in mice.

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This thesis invites geographers to pay more attention to public policy research by addressing the need to rethink fiscal decentralization policies in Ghana. By applying “Simandan’s wise stance in human geography” and “Grix’s building blocks of social research design”, I developed a conceptual framework that unites two incommensurable ontological and epistemological research positions in geography—the positive and normative positions. I used the framework to investigate two key research questions. First, does fiscal decentralization actually work in Ghana? Through quantitative analysis of empirical revenue and expenditure data (1994-2011) of local governments in Ghana, this study reveals significant issues of inefficiency, inequity, and unaccountability. Local governments generate less revenue, and therefore depend largely on central government transfers for developing their jurisdictions. Worse yet, these transfers are highly unpredictable in terms of amount and timing. Even though a multivariate regression analysis revealed that these transfers are apolitical, the actual disbursement formula tends to focus on equality instead of equity. Additionally, the unclear expenditure assignments in each locality make accountability difficult. In view of these problems, I addressed the question: why is fiscal decentralization held out as a good thing in Ghana? By drawing lessons from Foucault’s and Escobar’s critical discourse analysis, I traced a genealogy of Ghana’s fiscal decentralization. I found that the policy is held out as a good thing in Ghana because of the triangular operation of multiplicities of power, knowledge, and truth regimes at the local, national and international scale. I concluded that although nation-states remains a necessary causal link in fiscal decentralization policy process in Ghana, direct and indirect international involvement have profound effect on these policies. Therefore, rethinking fiscal decentralization involves acknowledging the complex intermingling effects that global, national, and local territories produce.

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We study fairness in economies with one private good and one partially excludable nonrival good. A social ordering function determines for each profile of preferences an ordering of all conceivable allocations. We propose the following Free Lunch Aversion condition: if the private good contributions of two agents consuming the same quantity of the nonrival good have opposite signs, reducing that gap improves social welfare. This condition, combined with the more standard requirements of Unanimous Indifference and Responsiveness, delivers a form of welfare egalitarianism in which an agent's welfare at an allocation is measured by the quantity of the nonrival good that, consumed at no cost, would leave her indifferent to the bundle she is assigned.

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This paper proposes a definition of relative uncertainty aversion for decision models under complete uncertainty. It is shown that, for a large class of decision rules characterized by a set of plausible axioms, the new criterion yields a complete ranking of those rules with respect to the relative degree of uncertainty aversion they represent. In addition, we address a combinatorial question that arises in this context, and we examine conditions for the additive representability of our rules.