Sport for Development Organizations: An Analysis of Stakeholder Dynamics

Sport for Development (SFD) uses the power of sport to support international development initiatives that affect social change and empower under-resourced communities (Levermore, 2008a). Currently, there are more than 1,000 SFD organizations globally (Doyle, Payne, & Wolff, 2011) working to enact change and development initiatives in the least developed regions of the world. Stakeholders are key components of the long-term sustainability, development, and success of these SFD organizations. The purpose of this research is to examine the relationships between SFD organizations and their stakeholders through the lens of social responsibility (SR). Through the analysis of interviews conducted with SFD leaders and their stakeholders, this research offers a modified version of Carroll’s (1979) four categories of SR. This modified version addresses the differences that exist with SFD stakeholder relationships from the perspectives of the organizations and their stakeholders. Further, broader implications will be discussed in terms of compatibility and long-term sustainability.

Bargaining Power Dynamics and the Negotiation of Commercial Rights and Obligations: A Case of Athlete Agreements

This qualitative case study explored how the structural power imbalance in high performance sport influenced the bargaining process and resulting commercial rights and obligations of a single Canadian national sport organization’s (NSO1) Athlete Agreement. Principles comprising the doctrine of unconscionability, specifically the identification of a power imbalance between contracting parties, and the exploration of how that power imbalance influenced the terms of the contract, provided a framework to analyze factors influencing the commercial contents of NSO1’s Athlete Agreement. The results of this analysis revealed that despite the overarching influence of the inherent structural power imbalance on all aspects of NSO1 and its membership, an athletes’ level of commercial appeal can reach such heights as to balance the bargaining positions of both parties and subsequently influence the commercial contents of the Athlete Agreement.

Ribbed moraines and subglacial geomorphological signatures of interior-sector palaeo-ice sheet dynamics

Transverse, subglacial bedforms (ribbed moraines) occur frequently in southern Keewatin, Nunavut, Canada, where they record a complex glacial history, including shifting centers of ice dispersal and fluctuating basal thermal regimes. Comprehensive mapping and quantitative morphometric analysis of the subglacial bedform archive in this sector reveals that ribbed moraines are spatially clustered by size and assume a broad range of visually distinct forms. Results suggest that end-member morphologies are consistent with a dichotomous polygenetic origin, and that a continuum of forms emerged through subsequent reshaping processes of variable intensity and duration. Translocation of mobile, immobile and quasi-mobile beds throughout the last glacial cycle conditioned the development of a subglacial deforming bed mosaic, and is likely responsible for the patchy zonation of palimpsest and inherited landscape signatures within this former core region of the Laurentide Ice Sheet. Comparison against field evidence collected from central Norway suggests that bedforming processes can be locally mediated by pre-existing topography.

Assessing the Reproducibility of Clustering of Molecular Dynamics Conformations on Self-Organizing Maps

The goal of most clustering algorithms is to find the optimal number of clusters (i.e. fewest number of clusters). However, analysis of molecular conformations of biological macromolecules obtained from computer simulations may benefit from a larger array of clusters. The Self-Organizing Map (SOM) clustering method has the advantage of generating large numbers of clusters, but often gives ambiguous results. In this work, SOMs have been shown to be reproducible when the same conformational dataset is independently clustered multiple times (~100), with the help of the Cramérs V-index (C_v). The ability of C_v to determine which SOMs are reproduced is generalizable across different SOM source codes. The conformational ensembles produced from MD (molecular dynamics) and REMD (replica exchange molecular dynamics) simulations of the penta peptide Met-enkephalin (MET) and the 34 amino acid protein human Parathyroid Hormone (hPTH) were used to evaluate SOM reproducibility. The training length for the SOM has a huge impact on the reproducibility. Analysis of MET conformational data definitively determined that toroidal SOMs cluster data better than bordered maps due to the fact that toroidal maps do not have an edge effect. For the source code from MATLAB, it was determined that the learning rate function should be LINEAR with an initial learning rate factor of 0.05 and the SOM should be trained by a sequential algorithm. The trained SOMs can be used as a supervised classification for another dataset. The toroidal 10×10 hexagonal SOMs produced from the MATLAB program for hPTH conformational data produced three sets of reproducible clusters (27%, 15%, and 13% of 100 independent runs) which find similar partitionings to those of smaller 6×6 SOMs. The χ^2 values produced as part of the C_v calculation were used to locate clusters with identical conformational memberships on independently trained SOMs, even those with different dimensions. The χ^2 values could relate the different SOM partitionings to each other.

Dynamics in large scale networks

In this thesis we study the properties of two large dynamic networks, the competition network of advertisers on the Google and Bing search engines and the dynamic network of friend relationships among avatars in the massively multiplayer online game (MMOG) Planetside 2. We are particularly interested in removal patterns in these networks. Our main finding is that in both of these networks the nodes which are most commonly removed are minor near isolated nodes. We also investigate the process of merging of two large networks using data captured during the merger of servers of Planetside 2. We found that the original network structures do not really merge but rather they get gradually replaced by newcomers not associated with the original structures. In the final part of the thesis we investigate the concept of motifs in the Barabási-Albert random graph. We establish some bounds on the number of motifs in this graph.

Mesures de risque d'inflation: estimations et étude de Monte Carlo.

Rapport de recherche

Inflation Targeting Under Asymmetric Preferences

This paper develops and estimates a game-theoretical model of inflation targeting where the central banker's preferences are asymmetric around the targeted rate. In particular, positive deviations from the target can be weighted more, or less, severely than negative ones in the central banker's loss function. It is shown that some of the previous results derived under the assumption of symmetry are not robust to the generalization of preferences. Estimates of the central banker's preference parameters for Canada, Sweden, and the United Kingdom are statistically different from the ones implied by the commonly used quadratic loss function. Econometric results are robust to different forecasting models for the rate of unemployment but not to the use of measures of inflation broader than the one targeted.

Does the Barro-Gordon Model Explain the Behavior of US Inflation? a Reexamination of the Empirical Evidence

This paper tests the predictions of the Barro-Gordon model using US data on inflation and unemployment. To that end, it constructs a general game-theoretical model with asymmetric preferences that nests the Barro-Gordon model and a version of Cukierman’s model as special cases. Likelihood Ratio tests indicate that the restriction imposed by the Barro-Gordon model is rejected by the data but the one imposed by the version of Cukierman’s model is not. Reduced-form estimates are consistent with the view that the Federal Reserve weights more heavily positive than negative unemployment deviations from the expected natural rate.

Lien Entre Capital Fictif, Markup Flexible et Inflation

Dans Cet Article J'ai Cherche a Demontrer les Liens Qui Existent Entre la Theorie Quantitative de la Monnaie, la Theorie du \"Markup\" et L'inflation. Bien Qu'il Ne Soit Pas Necessaire D'admettre L'equilibre et les Courbes Is-Lm, Ma Theorie du Capital Fictif Est Compatible Avec le Q de Tobin. le Principal Avantage de la Theorie du \"Markup\" Flexible Est de Montrer Comment L'inflation Est Fonction Non Seulement du Prix et de la Productivite du Travail, Mais Aussi du Prix de la Productivite du Capital, de Son Taux D'amortissement et de Son Taux de Financement. les Nouveaux Resultats Econometriques Obtenus a Partir des Donnees Annuelles Canadiennes Illustrent Hors de Tout Doute le Bien Fonde de la Relation Entre Capital Fictif et Inflation.

Termes de l'échange endogènes et cycles économiques réels : une application à la Côte-d'Ivoire

À l’aide d’un modèle de cycles réels, la présente étude vise à expliquer, de façon endogène, les fluctuations des termes de l’échange en Côte-d’Ivoire. Pour ce faire, nous cherchons principalement à répondre aux deux questions suivantes : les chocs d’offre et de demande sur le marché d’exportation suffisent-ils à expliquer les variations des termes de l’échange? Et quelle est leur importance relative dans la dynamique des termes de l’échange? Les résultats montrent que les deux chocs considérés expliquent bien la volatilité des termes de l’échange. Nous avons noté que ces deux sources d’impulsions ont un impact significatif sur les fluctuations économiques en Côte-d’Ivoire.

Heterodox Inflation Stabilization in Argentina, Brazil, and Israel. A Historical Review and Some Stylized Facts

This article presents a review of the stabilization attempts in Argentina, Brazil, and Israel during the 1980’s. Earlier research is summarized and complemented with additional sources of contemporaneous information and a detailed analysis of institutional features. The examination of these episodes underscores the strong economic and empirical relationship between the governments’ fiscal policy and the rate of inflation.

Uncovering Financial Markets Beliefs About Inflation Targets

This paper exploits the term structure of interest rates to develop testable economic restrictions on the joint process of long-term interest rates and inflation when the latter is subject to a targeting policy by the Central Bank. Two competing models that econometrically describe agents’ inferences about inflation targets are developed and shown to generate distinct predictions on the behavior of interest rates. In an empirical application to the Canadian inflation target zone, results indicate that agents perceive the band to be substantially narrower than officially announced and asymmetric around the stated mid-point. The latter result (i) suggests that the monetary authority attaches different weights to positive and negative deviations from the central target, and (ii) challenges on empirical grounds the assumption, frequently made in the literature, that the policy maker’s loss function is symmetric (usually a quadratic function) around a desired inflation value.

The Inflation Bias When the Central Bank Targets, the Natural Rate of Unemployment

This paper studies the proposition that an inflation bias can arise in a setup where a central banker with asymmetric preferences targets the natural unemployment rate. Preferences are asymmetric in the sense that positive unemployment deviations from the natural rate are weighted more (or less) severely than negative deviations in the central banker's loss function. The bias is proportional to the conditional variance of unemployment. The time-series predictions of the model are evaluated using data from G7 countries. Econometric estimates support the prediction that the conditional variance of unemployment and the rate of inflation are positively related.

Explaining the Transition Between Exchange Rate Regimes

This paper studies the transition between exchange rate regimes using a Markov chain model with time-varying transition probabilities. The probabilities are parameterized as nonlinear functions of variables suggested by the currency crisis and optimal currency area literature. Results using annual data indicate that inflation, and to a lesser extent, output growth and trade openness help explain the exchange rate regime transition dynamics.