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In this thesis, we propose a novel trust management scheme for improving routing reliability in wireless ad hoc networks. It is grounded on two classic autoregression models, namely Autoregressive (AR) model and Autoregressive with exogenous inputs (ARX) model. According to this scheme, a node periodically measures the packet forwarding ratio of its every neighbor as the trust observation about that neighbor. These measurements constitute a time series of data. The node has such a time series for each neighbor. By applying an autoregression model to these time series, it predicts the neighbors future packet forwarding ratios as their trust estimates, which in turn facilitate it to make intelligent routing decisions. With an AR model being applied, the node only uses its own observations for prediction; with an ARX model, it will also take into account recommendations from other neighbors. We evaluate the performance of the scheme when an AR, ARX or Bayesian model is used. Simulation results indicate that the ARX model is the best choice in terms of accuracy.

In this thesis, we propose a novel trust management scheme for improving routing reliability in wireless ad hoc networks. It is grounded on two classic autoregression models, namely Autoregressive (AR) model and Autoregressive with exogenous inputs (ARX) model. According to this scheme, a node periodically measures the packet forwarding ratio of its every neighbor as the trust observation about that neighbor. These measurements constitute a time series of data. The node has such a time series for each neighbor. By applying an autoregression model to these time series, it predicts the neighbors future packet forwarding ratios as their trust estimates, which in turn facilitate it to make intelligent routing decisions. With an AR model being applied, the node only uses its own observations for prediction; with an ARX model, it will also take into account recommendations from other neighbors. We evaluate the performance of the scheme when an AR, ARX or Bayesian model is used. Simulation results indicate that the ARX model is the best choice in terms of accuracy.

In this thesis, we propose a novel trust management scheme for improving routing reliability in wireless ad hoc networks. It is grounded on two classic autoregression models, namely Autoregressive (AR) model and Autoregressive with exogenous inputs (ARX) model. According to this scheme, a node periodically measures the packet forwarding ratio of its every neighbor as the trust observation about that neighbor. These measurements constitute a time series of data. The node has such a time series for each neighbor. By applying an autoregression model to these time series, it predicts the neighbors future packet forwarding ratios as their trust estimates, which in turn facilitate it to make intelligent routing decisions. With an AR model being applied, the node only uses its own observations for prediction; with an ARX model, it will also take into account recommendations from other neighbors. We evaluate the performance of the scheme when an AR, ARX or Bayesian model is used. Simulation results indicate that the ARX model is the best choice in terms of accuracy.

In this thesis, we propose a novel trust management scheme for improving routing reliability in wireless ad hoc networks. It is grounded on two classic autoregression models, namely Autoregressive (AR) model and Autoregressive with exogenous inputs (ARX) model. According to this scheme, a node periodically measures the packet forwarding ratio of its every neighbor as the trust observation about that neighbor. These measurements constitute a time series of data. The node has such a time series for each neighbor. By applying an autoregression model to these time series, it predicts the neighbors future packet forwarding ratios as their trust estimates, which in turn facilitate it to make intelligent routing decisions. With an AR model being applied, the node only uses its own observations for prediction; with an ARX model, it will also take into account recommendations from other neighbors. We evaluate the performance of the scheme when an AR, ARX or Bayesian model is used. Simulation results indicate that the ARX model is the best choice in terms of accuracy.

La globalisation est probablement la caractéristique principale de l'économie mondiale du 21e siècle. Elle se traduit notamment par l'intégration par les canaux commerciaux, financiers et les marchés de matières premières. Si un tel contexte affecte de manière très significative tous les types d'économies, il convient de souligner que les petites économies ouvertes dépendantes des exportations de matières premières, et ouvertes aux marchés financiers globaux, sont en général les plus exposées. L'économie chilienne possède toutes ces caractéristiques. C’est dans ce contexte que cette thèse explore l'efficacité de la politique budgétaire chilienne et les effets des prix des matières premières et des chocs financiers internationaux sur le PIB chilien et d'autres variables macro-économiques importantes. A cette fin, on utilise une approche empirique basée sur des modèles vectoriels autorégressifs. / The economic globalization is probably the main feature of the 21st century world economy, with economic integration and interdependence of national economies across the world particularly common in commodity and financial markets. Such a context greatly affect all types of economies though those small, dependent on commodity exports, and open to global financial markets are usually the most exposed. Having in mind this scenario, in this Ph.D. dissertation we explore the effectiveness of the Chilean fiscal policy and the effects of commodity prices and foreign financial shocks, on the Chilean GDP and other macroeconomic fundamentals using an empirical approach based on alternative vector autoregressive models.To understand the effectiveness of the country’s fiscal policy aiming at guarantying macroeconomic stability, in the Chapter 1 of this Ph.D. dissertation we study the dynamic effects of fiscal policy on the Chilean macroeconomic fundamentals and the size of fiscal multipliers. Chapter 2 examines how shocks to commodity prices affect the Chilean economic output, fiscal accounts and private consumption, based on correlations analysis and vector autoregression models. In the Chapter 3 of this Ph.D. dissertation we study the effect of foreign financial shocks on the Chilean real economy.

La nouvelle stratégie d'intégration adoptée en 2000 par les pays Sud-Américains, après trois décennies d'instabilité économique et de crises récurrentes, est un jalon de l'histoire économique de la région. En effet, la volatilité du cycle économique de ces pays s'est réduite significativement à partir de cette date, atteignant son niveau le plus bas depuis 1950. L'analyse d'un tel phénomène est particulièrement intéressante en particulier lorsque l'on se place dans le contexte de turbulences et de crises des années 2000, à savoir, la crise financière mondiale (2008-2009) et, dans son sillage, la crise des dettes souveraines en zone euro. Dans cette thèse, l'objectif est d'étudier le projet d'intégration régionale d'Amérique du Sud, institutionnalisé en 2008 avec la création de l'Union des Nations Sud-Américaines Unasur, en tant que vecteur de stabilisation de ces économies. De ce fait, il s'agit de concentrer l'analyse sur les interactions entre les douze pays du continent Sud-Américain – Argentine, Bolivie, Brésil, Chili, Colombie, Équateur, Guyana, Paraguay, Pérou, Uruguay, Suriname et Venezuela – qui forment un groupe hétérogène autour d'un objectif commun l' "… intégration culturelle, sociale, économique et politique …" et la "… réduction des asymétries de la qualité de vie de ses citoyens … ". La thèse s'intéresse exclusivement aux aspects économiques d'un tel projet d'intégration régionale. À partir d'outils empiriques et théoriques, nous cherchons à évaluer le niveau de convergence et de vulnérabilité des économies concernées. Plus particulièrement une analyse des impacts des politiques d'intégration dans court terme et une étude de leurs performances macroéconomiques de long terme. La thèse se divise en quatre chapitres et s'appuie sur des modèles qui intègrent diverses sources de diffusion des chocs asymétriques. Le premier chapitre présente l'état de l'art de la théorie d'intégration économique régionale en soulignant le cas Sud-Américain. Le deuxième chapitre analyse, à l'aide de modèles vectoriels autorégressifs structurels et de mesures de corrélation, l'impact de chocs externes sur les secteurs réel, monétaire et budgétaire des pays membres de l'Unasur. L'analyse montre que : (i) même les pays les plus fermés (Argentine et Venezuela) et les plus industrialisées (Brésil) présentent une forte vulnérabilité aux perturbations internationales, (ii) cette vulnérabilité individuelle se traduit en une convergence de court terme des trajectoires des principales variables macroéconomiques des pays concernés. Dans le troisième chapitre, on cherche à mesurer le degré de convergence de long terme des niveaux de vie des citoyens Sud-Américains à l’aide de modèles empiriques vectoriels à correction d'erreur et de techniques de cointégration. Les résultats montrent l'existence de tendances stochastiques communes à long terme. Cela signifie que les pays sont engagés dans un processus d'évolution vers un objectif commun, autrement dit, que les conditions de vie des citoyens Sud-Américains ne divergent pas à long terme. En fin, le troisième chapitre vise à analyser l'impact de l'investissement dans la construction de réseaux régionaux de transport, de communication et d'énergie, sur la réduction de l'hétérogénéité structurelle des pays de l'Unasur (projet IIRSA). En effectuant un certain nombre d'expériences de politique dans un cadre théorique, cette analyse constate que : (i) une accroissement d'investissement public en infrastructure suscite une augmentation du commerce intra-intra-régional mais pas forcément une réduction de l'écart de production entre les pays, (ii) l'écart de production à long terme entre l'Argentine et le Brésil diminue, dans un scénario gagnant-gagnant, en termes de croissance économique, seulement si les gouvernements de ces deux pays coordonnent leur augmentation d'investissement en infrastructure, comme proposé par l'IIRSA. / Economic integration seems to be a new global trend. The past two decades have witnessed the formation of several economic unions in Asia (ASEAN+3 in 1997), Europe (Eurozone in 1999), Africa, and America (Union of South American Nations, Unasur in 2008). The South American case deserves special attention because, unlike the other blocs, the Unasur emerged as a political alliance and not as an economic one. Furthermore, Unasur is conceived as a strategy for improving the socioeconomic conditions of nations that have a common history of economic instability and external dependence. However, while common concerns and political willingness exist among group members, the question of whether that consensus is sufficient to ensure economic integration remains unanswered. For instance, economic integration as a strategy for macroeconomic stability has seemed to work well in Europe after the euro was launched in 1999 (Sapir, 2011), until the breakdown of the European sovereign debt crisis in recent years has revealed the inherent weaknesses of an economic union that lacks a political union (Fligstein et al., 2012, Issing, 2011). This development suggests that the Unasur project is likely to fail if the concerned economies do not converge economically. This is the reason why, this thesis assesses the Unasur project from an economic integration perspective, thus, complementing the huge body of political literature that has been developed on the issue (Briceño-Ruiz, 2014, Sanahuja, 2012). The first chapter describes the theory of economic integration' state of art focusing on South America. The second chapter examines the reactions of the Unasur economies to external shocks. By using a structural vector autoregression approach, it measures the impact of three external shocks (monetary, commercial, and financial) in the real, monetary, and fiscal economic sectors of Unasur economies and investigates co-movement paths. The results show (i) a non-negligible degree of synchronization across the studied economies, confirming their high external vulnerability, (ii) irrespective of size or integration degree, all Unasur members share mutual weaknesses, which they must fight to overcome. The third chapter evaluates the convergence in real GDP per-capita, as a suitable proxy measure, of the concerned economies for the period 1951-2011. By relying on cointegration techniques and applying Bernard and Durlauf's (1995) stochastic definitions of convergence and common trends, the presented evidence supports the existence of common long-run trends driving output in South America, meaning that the region is involved in a dynamic process of convergence in living standards. Finally, the fourth chapter studies the economic spillovers of the most advanced structural project of the group: the Initiative for the Integration of Regional Infrastructure in South America (IIRSA). A micro-founded two-country general equilibrium model is constructed to evaluate potential gains or losses (in terms of output convergence and trade integration) of raising publicly provided transportation infrastructure in a coordinated and uncoordinated manner. The model is solved using data from Argentina and Brazil. Results show that: (i) rising public investment in infrastructure boost commercial integration but not necessarily generates output converge, (ii) the only way for the Argentina and Brazil to achieve output convergence is to coordinate their increments on public infrastructure as proposed by the IIRSA.