29 resultados para Database search Evidential value Bayesian decision theory Influence diagrams
Resumo:
A growing literature integrates theories of debt management into models of optimal fiscal policy. One promising theory argues that the composition of government debt should be chosen so that fluctuations in the market value of debt offset changes in expected future deficits. This complete market approach to debt management is valid even when the government only issues non-contingent bonds. A number of authors conclude from this approach that governments should issue long term debt and invest in short term assets. We argue that the conclusions of this approach are too fragile to serve as a basis for policy recommendations. This is because bonds at different maturities have highly correlated returns, causing the determination of the optimal portfolio to be ill-conditioned. To make this point concrete we examine the implications of this approach to debt management in various models, both analytically and using numerical methods calibrated to the US economy. We find the complete market approach recommends asset positions which are huge multiples of GDP. Introducing persistent shocks or capital accumulation only worsens this problem. Increasing the volatility of interest rates through habits partly reduces the size of these simulations we find no presumption that governments should issue long term debt ? policy recommendations can be easily reversed through small perturbations in the specification of shocks or small variations in the maturity of bonds issued. We further extend the literature by removing the assumption that governments every period costlessly repurchase all outstanding debt. This exacerbates the size of the required positions, worsens their volatility and in some cases produces instability in debt holdings. We conclude that it is very difficult to insulate fiscal policy from shocks by using the complete markets approach to debt management. Given the limited variability of the yield curve using maturities is a poor way to substitute for state contingent debt. The result is the positions recommended by this approach conflict with a number of features that we believe are important in making bond markets incomplete e.g allowing for transaction costs, liquidity effects, etc.. Until these features are all fully incorporated we remain in search of a theory of debt management capable of providing robust policy insights.
Resumo:
This study extends the standard econometric treatment of appellate court outcomes by 1) considering the role of decision-maker effort and case complexity, and 2) adopting a multi-categorical selection process of appealed cases. We find evidence of appellate courts being affected by both the effort made by first-stage decision makers and case complexity. This illustrates the value of widening the narrowly defined focus on heterogeneity in individual-specific preferences that characterises many applied studies on legal decision-making. Further, the majority of appealed cases represent non-random sub-samples and the multi-categorical selection process appears to offer advantages over the more commonly used dichotomous selection models.
Resumo:
This paper sets out to identify the initial positions of the different decisionmakers who intervene in a group decision making process with a reducednumber of actors, and to establish possible consensus paths between theseactors. As a methodological support, it employs one of the most widely-knownmulticriteria decision techniques, namely, the Analytic Hierarchy Process(AHP). Assuming that the judgements elicited by the decision makers follow theso-called multiplicative model (Crawford and Williams, 1985; Altuzarra et al.,1997; Laininen and Hämäläinen, 2003) with log-normal errors and unknownvariance, a Bayesian approach is used in the estimation of the relative prioritiesof the alternatives being compared. These priorities, estimated by way of themedian of the posterior distribution and normalised in a distributive manner(priorities add up to one), are a clear example of compositional data that will beused in the search for consensus between the actors involved in the resolution ofthe problem through the use of Multidimensional Scaling tools
Resumo:
RESUM Les exigències actuals de la professió de d’infermeria requereixen que la docència vagi orientada a interrelacionar els diferents rols a desenvolupar enla pràctica diària, per adquirir experiència en l’aprenentatge i així augmentar la qualitat de les cures d’infermeria. Per assolir aquest objectiu és important l’aprenentatge basat enproblemes. Aquest pretén en primer lloc que els estudiants aprenguin allò que permet desenvolupar-se enla vida professional de la manera més natural possible a partir d’una idea clara i profunda de l’evidència sobre la que s’ha d’actuar. Amb aquesta finalitat es vandissenyar casos clínics amb uns objectius que requerien la integració de coneixements, actituds i valors, en diferents fases a desenvolupar en un període de temps predeterminat. També ens vam proposar una estratègia docent que permetés a l’estudiant incorporar el coneixement científic que dóna suport a la pràctica assistencial per aproximar teoria i pràctica. Es pretén que els estudiants busquin una resposta basada en la millor evidència científica disponible, per prendre una decisió respecte a les cures del pacient. Els objectius de l’estudi són: Avaluar globalment l’aprenentatge basat en la simulació de casos Avaluar com els estudiants valoren la integració del model d’infermeria i del procés d’atenció en l’aprenentatge basat en la simulació de casos. Valorar les sensacions percebudes per l’estudiant durant la simulació del cas. Valorar l’actitud d el’estudiant en relació a la incorporació de l’evidència científica per una millora en la pràctica clínica. Avaluar el grau de dificultat manifestat per l’estudiant en relació al procés de documentació. Avaluar la idonietat de l’argumentació i la decisió de l’estudiant a la pregunta formulada en el cas clínic. Metodologia: L’assignatura d’Infermeria Medicoquirúrgica. Adult I del Departament d’Infermeria de la Universitat de Vic, va iniciar una experiència d’aprenentatge basat en la resolució de problemes, amb estudiants de 2on curs. Les professores responsables dels seminaris van realitzar una avaluació de l’experiència a través d’una enquesta. Aquesta es responia al cap d’un mes de la simulació al laboratori, quan es contrastaven els resultats obtinguts en aquesta entre professores i estudiants després de visualitzar la gravació feta durant el mateix. En el context del seminari de simulació de casos, es va introduir una pregunta/problema, a partir de la que els estudiants, en grup, havien de documentar-se amb el suport d’una guia. Per valorar l’actitud davant aquesta pregunta/problema es va dissenyar un qustionari tipus Likert. L’avaluació del grau de dificultat s’ha registrat a través d’unes escales de puntuació. Per a l’avaluació de la decisió presa, es van valorar les síntesis resum entregades en els treballs escrits pels diferents grups. Resultats: La realització de la simulació en el laboratori va ser avaluada per un alt percentatge d’estudiants (68,8%) amb puntuacions entre 6 i 8 mentre que un 26,6% la van situar en tre 9 i 10, només un 4,7 % la van puntuar amb 5. La integració del model d’infermeria va ser valorada pel 86% amb una puntuació entre 7 i 10. La valoració global de la simulació va ser qualificada pels estudiants amb una puntuació de 8 (34,4%) seguida d’un 28,1% amb una consideració de 7. Un 7,2% van puntuar entre 9 i 10. El 93,3% van assegurar que conèixer les fonts documentals els serviria per millorar l’assistència, el 86,7% esperen obtenir arguments sòlids respecte les seves desicions si la documentació consultada és de qualitat. Un 77,8% dels estudiants consideren estar més satisfets al saber incorporar la presa de decisions basada en evidències. Respecte el grau de dificultat en el procés de documentació la dificultat més gran la presenten en com buscar en les bases de dades de referències bibliogràfiques. Conclusions: L’aprenentatge dels estudiants a través de la simulació de casos és una estratègia vàlida que l’estudiant valora positivament al mateix temps que permet desenvolupar habilitats per a la pràctica professional. L’estratègia docent dissenyada per integrar les evidències en la presa de decisions es considera positiva, no obstant, després d’analitzar els resultats, s’han de modificar alguns aspectes per a la seva millora; tutoritzar per a millorar el procés de documentació i incidir més en la crítica i reflexió, de manera que les troballes de la investigació siguin canalitzades cap a la pràctica.
Resumo:
We studied the decision making process in the Dictator Game and showed that decisions are the result of a two-step process. In a first step, decision makers generate an automatic, intuitive proposal. Given sufficient motivation and cognitive resources, they adjust this in a second, more deliberated phase. In line with the social intuitionist model, we show that one s Social Value Orientation determines intuitive choice tendencies in the first step, and that this effect is mediated by the dictator s perceived interpersonal closeness with the receiver. Self-interested concerns subsequently leadto a reduction of donation size in step 2. Finally, we show that increasing interpersonal closeness can promote pro-social decision-making.
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This paper advances a highly tractable model with search theoretic foundations for money and neoclassical growth. In the model, manufacturingand commerce are distinct and separate activities. In manufacturing,goods are efficiently produced combining capital and labor. In commerce,goods are exchanged in bilateral meetings. The model is applied to studythe effects of inßation on capital accumulation and welfare. With realisticparameters, inflation has large negative effects on welfare even though itraises capital and output. In contrast, with cash-in-advance, a deviceinformally motivated with bilateral trading, inflation depresses capitaland output and has a negligible effect on welfare.
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This paper presents findings from a study investigating a firm s ethical practices along the value chain. In so doing we attempt to better understand potential relationships between a firm s ethical stance with its customers and those of its suppliers within a supply chain and identify particular sectoral and cultural influences that might impinge on this. Drawing upon a database comprising of 667 industrial firms from 27 different countries, we found that ethical practices begin with the firm s relationship with its customers, the characteristics of which then influence the ethical stance with the firm s suppliers within the supply chain. Importantly, market structure along with some key cultural characteristics were also found to exert significant influence on the implementation of ethical policies in these firms.
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We analyze the influence of the density dependence of the symmetry energy on the average excitation energy of the isoscalar giant monopole resonance (GMR) in stable and exotic neutron-rich nuclei by applying the relativistic extended Thomas-Fermi method in scaling and constrained calculations. For the effective nuclear interaction, we employ the relativistic mean field model supplemented by an isoscalar-isovector meson coupling that allows one to modify the density dependence of the symmetry energy without compromising the success of the model for binding energies and charge radii. The semiclassical estimates of the average energy of the GMR are known to be in good agreement with the results obtained in full RPA calculations. The present analysis is performed along the Pb and Zr isotopic chains. In the scaling calculations, the excitation energy is larger when the symmetry energy is softer. The same happens in the constrained calculations for nuclei with small and moderate neutron excess. However, for nuclei of large isospin the constrained excitation energy becomes smaller in models having a soft symmetry energy. This effect is mainly due to the presence of loosely-bound outer neutrons in these isotopes. A sharp increase of the estimated width of the resonance is found in largely neutron-rich isotopes, even for heavy nuclei, which is enhanced when the symmetry energy of the model is soft. The results indicate that at large neutron numbers the structure of the low-energy region of the GMR strength distribution changes considerably with the density dependence of the nuclear symmetry energy, which may be worthy of further characterization in RPA calculations of the response function.
Resumo:
A new aggregation method for decision making is presented by using induced aggregation operators and the index of maximum and minimum level. Its main advantage is that it can assess complex reordering processes in the aggregation that represent complex attitudinal characters of the decision maker such as psychological or personal factors. A wide range of properties and particular cases of this new approach are studied. A further generalization by using hybrid averages and immediate weights is also presented. The key issue in this approach against the previous model is that we can use the weighted average and the ordered weighted average in the same formulation. Thus, we are able to consider the subjective attitude and the degree of optimism of the decision maker in the decision process. The paper ends with an application in a decision making problem based on the use of the assignment theory.
Resumo:
Testing weather or not data belongs could been generated by a family of extreme value copulas is difficult. We generalize a test and we prove that it can be applied whatever the alternative hypothesis. We also study the effect of using different extreme value copulas in the context of risk estimation. To measure the risk we use a quantile. Our results have motivated by a bivariate sample of losses from a real database of auto insurance claims. Methods are implemented in R.
Resumo:
Despite the increasing understanding of the relationships between institutions and entrepreneurship, the influence of the quality of government institutions on entrepreneurship is less addressed. This paper focuses on this critical determinant of entrepreneurship in developing and developed countries. Drawing from institutional theory we hypothesize and empirically assess the role of the quality of institutions in entrepreneurial activity. We examine how the quality of government institutions influences the rate of necessity-based entrepreneurial activity across countries and over time by using a cross-sectional time-series approach on data from the Global Entrepreneurship Monitor (GEM) database covering the years 2001–2011. Our results suggest that higher economic development associated with better quality of institutions reduces the prevalence of necessity-based entrepreneurship. Our findings imply that developing countries must rationally organize their functions, and seek to remove unnecessary barriers, decrease political instability, and controls that hamper entrepreneurial activity
Resumo:
[eng] We propose two generalizations of the Banzhaf value for partition function form games. In both cases, our approach is based on probability distributions over the set of possible coalition structures that may arise for any given set of agents. First, we introduce a family of values, one for each collection of the latter probability distributions, defined as the Banzhaf value of an expected coalitional game. Then, we provide two characterization results for this new family of values within the framework of all partition function games. Both results rely on a property of neutrality with respect to amalgamation of players. Second, as this collusion transformation fails to be meaningful for simple games in partition function form, we propose another generalization of the Banzhaf value which also builds on probability distributions of the above type. This latter family is characterized by means of a neutrality property which uses an amalgamation transformation of players for which simple games are closed.
Resumo:
[eng] We propose two generalizations of the Banzhaf value for partition function form games. In both cases, our approach is based on probability distributions over the set of possible coalition structures that may arise for any given set of agents. First, we introduce a family of values, one for each collection of the latter probability distributions, defined as the Banzhaf value of an expected coalitional game. Then, we provide two characterization results for this new family of values within the framework of all partition function games. Both results rely on a property of neutrality with respect to amalgamation of players. Second, as this collusion transformation fails to be meaningful for simple games in partition function form, we propose another generalization of the Banzhaf value which also builds on probability distributions of the above type. This latter family is characterized by means of a neutrality property which uses an amalgamation transformation of players for which simple games are closed.
Resumo:
The decision to settle a motor insurance claim by either negotiation or trial is analysed. This decision may depend on how risk and confrontation adverse or pessimistic the claimant is. The extent to which these behavioural features of the claimant might influence the final compensation amount are examined. An empirical analysis, fitting a switching regression model to a Spanish database, is conducted in order to analyze whether the choice of the conflict resolution procedure is endogenous to the compensation outcomes. The results show that compensations awarded by courts are always higher, although 95% of cases are settled by negotiation. We show that this is because claimants are adverse to risk and confrontation, and are pessimistic about their chances at trial. By contrast, insurers are risk - confrontation neutral and more objective in relation to the expected trial compensation. During the negotiation insurers accept to pay the subjective compensation values of claimants, since these values are lower than their estimates of compensations at trial.