30 resultados para Sociology, Theory and Methods|Geography|Latin American Studies|Urban and Regional Planning

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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In the last 50 years, we have had approximately 40 events with characteristics related to financial crisis. The most severe crisis was in 1929, when the financial markets plummet and the US gross domestic product decline in more than 30 percent. Recently some years ago, a new crisis developed in the United States, but instantly caused consequences and effects in the rest of the world.This new economic and financial crisis has increased the interest and motivation for the academic community, professors and researchers, to understand the causes and effects of the crisis, to learn from it. This is the one of the main reasons for the compilation of this book, which begins with a meeting of a group of IAFI researchers from the University of Barcelona, where researchers form Mexico and Spain, explain causes and consequences of the crisis of 2007.For that reason, we believed this set of chapters related to methodologies, applications and theories, would conveniently explained the characteristics and events of the past and future financial crisisThis book consists in 3 main sections, the first one called "State of the Art and current situation", the second named "Econometric applications to estimate crisis time periods" , and the third one "Solutions to diminish the effects of the crisis". The first section explains the current point of view of many research papers related to financial crisis, it has 2 chapters. In the first one, it describe and analyzes the models that historically have been used to explain financial crisis, furthermore, it proposes to used alternative methodologies such as Fuzzy Cognitive Maps. On the other hand , Chapter 2 , explains the characteristics and details of the 2007 crisis from the US perspective and its comparison to 1929 crisis, presenting some effects in Mexico and Latin America.The second section presents two econometric applications to estimate possible crisis periods. For this matter, Chapter 3, studies 3 Latin-American countries: Argentina, Brazil and Peru in the 1994 crisis and estimates the multifractal characteristics to identify financial and economic distress.Chapter 4 explains the crisis situations in Argentina (2001), Mexico (1994) and the recent one in the United States (2007) and its effects in other countries through a financial series methodology related to the stock market.The last section shows an alternative to prevent the effects of the crisis. The first chapter explains the financial stability effects through the financial system regulation and some globalization standards. Chapter 6, study the benefits of the Investor activism and a way to protect personal and national wealth to face the financial crisis risks.

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In this paper we propose a simple and general model for computing the Ramsey optimal inflation tax, which includes several models from the previous literature as special cases. We show that it cannot be claimed that the Friedman rule is always optimal (or always non--optimal) on theoretical grounds. The Friedman rule is optimal or not, depending on conditions related to the shape of various relevant functions. One contribution of this paper is to relate these conditions to {\it measurable} variables such as the interest rate or the consumption elasticity of money demand. We find that it tends to be optimal to tax money when there are economies of scale in the demand for money (the scale elasticity is smaller than one) and/or when money is required for the payment of consumption or wage taxes. We find that it tends to be optimal to tax money more heavily when the interest elasticity of money demand is small. We present empirical evidence on the parameters that determine the optimal inflation tax. Calibrating the model to a variety of empirical studies yields a optimal nominal interest rate of less than 1\%/year, although that finding is sensitive to the calibration.

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While it is true that Latin American republics had no rival on maximising revenues from custom collection during the belle époque, this paper shows that Latin American countries were also generous importers, only behind the larger commercial countries of Western Europe in terms of imports per capita. Latin American citizens were much more linked to international trade than citizens of most regions of the world. Their relation to the world economy was tighter both via their imports and their exports relative to their population and income levels. This paper comes to show that there is no contradiction between the high custom collection by the Latin American republics and their high level of interaction with the global economy in the pre-1914 belle époque, although large country differences can be observed when descending from the regional to the national level.

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We have analyzed the spatial accuracy of European foreign trade statistics compared to Latin American. We have also included USA s data because of the importance of this country in Latin American trade. We have developed a method for mapping discrepancies between exporters and importers, trying to isolate systematic spatial deviations. Although our results don t allow a unique explanation, they present some interesting clues to the distribution channels in the Latin American Continent as well as some spatial deviations for statistics in individual countries. Connecting our results with the literature specialized in the accuracy of foreign trade statistics; we can revisit Morgernstern (1963) as well as Federico and Tena (1991). Morgernstern had had a really pessimistic view on the reliability of this statistic source, but his main alert was focused on the trade balances, not in gross export or import values. Federico and Tena (1991) have demonstrated howaccuracy increases by aggregation, geographical and of product at the same time. But they still have a pessimistic view with relation to distribution questions, remarking that perhaps it will be more accurate to use import sources in this latest case. We have stated that the data set coming from foreign trade statistics for a sample in 1925, being it exporters or importers, it s a valuable tool for geography of trade patterns, although in some specific cases it needs some spatial adjustments.

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This paper proposes a nonparametric test in order to establish the level of accuracy of theforeign trade statistics of 17 Latin American countries when contrasted with the trade statistics of the main partners in 1925. The Wilcoxon Matched-Pairs Ranks test is used to determine whether the differences between the data registered by exporters and importers are meaningful, and if so, whether the differences are systematic in any direction. The paper tests for the reliability of the data registered for two homogeneous products, petroleum and coal, both in volume and value. The conclusion of the several exercises performed is that we cannot accept the existence of statistically significant differences between the data provided by the exporters and the registered by the importing countries in most cases. The qualitative historiography of Latin American describes its foreign trade statistics as mostly unusable. Our quantitative results contest this view.

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The self-intermediate dynamic structure factor Fs(k,t) of liquid lithium near the melting temperature is calculated by molecular dynamics. The results are compared with the predictions of several theoretical approaches, paying special attention to the Lovesey model and the Wahnstrm and Sjgren mode-coupling theory. To this end the results for the Fs(k,t) second memory function predicted by both models are compared with the ones calculated from the simulations.

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Background/Aims: The epidemiology of Chagas disease, until recently confined to areas of continental Latin America, has undergone considerable changes in recent decades due to migration to other parts of the world, including Spain. We studied the prevalence of Chagas disease in Latin American patients treated at a health center in Barcelona and evaluated its clinical phase. We make some recommendations for screening for the disease. Methodology/Principal Findings: We performed an observational, cross-sectional prevalence study by means of an immunochromatographic test screening of all continental Latin American patients over the age of 14 years visiting the health centre from October 2007 to October 2009. The diagnosis was confirmed by serological methods: conventional in-house ELISA (cELISA), a commercial kit (rELISA) and ELISA using T cruzi lysate (Ortho-Clinical Diagnostics) (oELISA). Of 766 patients studied, 22 were diagnosed with T. cruzi infection, showing a prevalence of 2.87% (95% CI, 1.6-4.12%). Of the infected patients, 45.45% men and 54.55% women, 21 were from Bolivia, showing a prevalence in the Bolivian subgroup (n = 127) of 16.53% (95% CI, 9.6-23.39%). All the infected patients were in a chronic phase of Chagas disease: 81% with the indeterminate form, 9.5% with the cardiac form and 9.5% with the cardiodigestive form. All patients infected with T. cruzi had heard of Chagas disease in their country of origin, 82% knew someone affected, and 77% had a significant history of living in adobe houses in rural areas. Conclusions: We found a high prevalence of T. cruzi infection in immigrants from Bolivia. Detection of T. cruzi¿infected persons by screening programs in non-endemic countries would control non-vectorial transmission and would benefit the persons affected, public health and national health systems.

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Emigrating and having to leave children behind may be a risk factor for the mental health of immigrants. This study aimed to compare the psychological symptoms reported by immigrants mothers and fathers who took their children with them with those who left their children behind. The sample comprised 213 Latin American immigrants (123 women and 90 men). The results showed that mothers who did not have children with them reported more psychological symptoms than those who did. Few differences were observed in the case of fathers, except that those who had their children with them reported more symptoms related with somatization. After controlling for possible confounding variables ('time since immigration', ·having a job', 'legal status', and social support') it is concluded that for mothers not being accompanied by own's children explains the largest proportion of the psychological synptoms analyzed, although the time since immigration also accounts for some of the variance in the case of depressive sympthomatology and general distress. It is likely that the despair and frustation felt by mothers grows as time goes on and they remain unable to reunite the family. These results may be useful in terms of designing prevention and intervention programs with immigrants mothers.

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Objectives: Identify the frequency and intensity of the perception of adverse professional consequences and their association with burnout syndrome and occupational variables. Methods: Cross-sectional sample of 11,530 healthcare professionals resident in Spain and Latin America. The association of negative work-related consequences on burnout, as measured by the MBI and work-related variables was analysed by multiple logistic regression. Results: The emotional exhaustion was the first variable associated with absenteeism, with intention of giving up profession, personal deterioration, and family deterioration. Depersonalization was most associated with the perception of having made mistakes. Conclusions: The findings indicate a considerable prevalence of adverse work-related consequences

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This paper presents empirical evidence on the interrelationship that exists between the evolution of the Emerging Markets Bonds Index (EMBI) and some macroeconomic variables in seven Latin American countries; two of them (Ecuador and Panama), full dollarized. We make use of a Cointegrated Vector framework to analyze the short run effects from 2001 to 2009. The results suggest that EMBI is more stable in dollarized countries and that its evolution influences economic activity in non-dollarized economies; suggesting that investors confidence might be higher in dollarized countries where real and financial economic evolution are less tied than in non-dollarized ones.

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This paper presents empirical evidence on the interrelationship that exists between the evolution of the Emerging Markets Bonds Index (EMBI) and some macroeconomic variables in seven Latin American countries; two of them (Ecuador and Panama), full dollarized. We make use of a Cointegrated Vector framework to analyze the short run effects from 2001 to 2009. The results suggest that EMBI is more stable in dollarized countries and that its evolution influences economic activity in non-dollarized economies; suggesting that investors confidence might be higher in dollarized countries where real and financial economic evolution are less tied than in non-dollarized ones.

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This paper presents practical experiences using Open educational Resources (OER) for basic and elementary education (K12), educational research and research training on two inter-institutional projects with the collaboration of thirteen higher education institutions and with the support of the Corporación de Universidades para el Desarrollo del Internet (CUDI) and by the Consejo Nacional de Ciencia y Tecnología (CONACYT) of Mexico and hosted by the Tecnológico de Monterrey. The first initiative is titled "Knowledge Hub for K-12 Education" with the main goal of enrich a catalog of Open Educational Resources for basic and elementary education (K-12) for Mexico and Spanish speaking countries in Latin-America. The main goal of the second initiative is to build a collection of Open Educational Resources for Mobile Learning to address the issue of educational research and research training.

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HEMOLIA (a project under European community’s 7th framework programme) is a new generation Anti-Money Laundering (AML) intelligent multi-agent alert and investigation system which in addition to the traditional financial data makes extensive use of modern society’s huge telecom data source, thereby opening up a new dimension of capabilities to all Money Laundering fighters (FIUs, LEAs) and Financial Institutes (Banks, Insurance Companies, etc.). This Master-Thesis project is done at AIA, one of the partners for the HEMOLIA project in Barcelona. The objective of this thesis is to find the clusters in a network drawn by using the financial data. An extensive literature survey has been carried out and several standard algorithms related to networks have been studied and implemented. The clustering problem is a NP-hard problem and several algorithms like K-Means and Hierarchical clustering are being implemented for studying several problems relating to sociology, evolution, anthropology etc. However, these algorithms have certain drawbacks which make them very difficult to implement. The thesis suggests (a) a possible improvement to the K-Means algorithm, (b) a novel approach to the clustering problem using the Genetic Algorithms and (c) a new algorithm for finding the cluster of a node using the Genetic Algorithm.

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Bimodal dispersal probability distributions with characteristic distances differing by several orders of magnitude have been derived and favorably compared to observations by Nathan [Nature (London) 418, 409 (2002)]. For such bimodal kernels, we show that two-dimensional molecular dynamics computer simulations are unable to yield accurate front speeds. Analytically, the usual continuous-space random walks (CSRWs) are applied to two dimensions. We also introduce discrete-space random walks and use them to check the CSRW results (because of the inefficiency of the numerical simulations). The physical results reported are shown to predict front speeds high enough to possibly explain Reid's paradox of rapid tree migration. We also show that, for a time-ordered evolution equation, fronts are always slower in two dimensions than in one dimension and that this difference is important both for unimodal and for bimodal kernels