Cartéis partidários e informação assimétrica em legislativos estaduais : os procedimentos de urgência no caso do Rio Grande do Sul (1999-2006)

O presente trabalho examina as razões dos procedimentos de urgência nos projetos do Executivo junto à Assembléia Legislativa do Estado do Rio Grande do Sul entre 1999-2006. Para tal, o texto discute os fundamentos e algumas implicações de teorias sobre a organização legislativa, especialmente as vertentes partidária e informacional, situando, primeiramente, o debate sobre a política regional gaúcha e as relações Executivo-Legislativo no âmbito subnacional brasileiro. O objetivo do estudo é analisar a rationale dos procedimentos de urgência utilizados pelo Governador, unilateralmente, e pelo próprio Legislativo, através de seu Colégio de Líderes, para acelerar a tramitação dos projetos do Executivo, retirando a matéria das Comissões permanentes antes da aprovação de parecer. Empiricamente, a pesquisa investiga se a presença de cartéis legislativos e a distância das preferências do Governo em relação às do mediano do Plenário da Assembléia têm efeitos sobre as chances de utilização de tais procedimentos. Assim, avalia a possibilidade de conjugação da teoria partidária com problemas informacionais para a análise do processo decisório legislativo no âmbito subnacional. O exame conclui que tanto a urgência governamental quanto o acordo de lideranças possuem padrões distintos apresentando resultados diversos que dependem do tamanho das forças políticas e da distribuição de preferências, figurando as instituições como fatores intervenientes, de modo que tais procedimentos obedecem a uma lógica partidária, mas colocada diante de problemas informacionais

Dois ensaios em economia da saúde

We test for asymmetric information in health insurance by means of a special survey conducted in 1998 in Brazil. The distinct features of the database are twofold. First, it displays information on individual morbidity-an issue still unexplored in the empiricalliterature on insurance. Second, unlike other countries studied in the literature, the coverage leveI offered by the Brazilian free public health service is much lower than its private counterpart-making informational problems more likely. We find evidence of information asymmetries associated with some diseases (e.g., hypertension and heart disease) but not with others (e.g., cancer and chronic renal disease).

Antidumping as Strategic Trade Policy Under Asymmetric Information

In the last two decades, trade liberalization under GATT/WTO has been partly offset by an increase in antidumping protection. Economists have argued convincingly that this is partly due to the inclusion of sales below cost in the definition of dumping during the GATT Tokyo Round. The introduction of the cost- based dumping definition gives regulating authorities a better opportunity to choose protection according to their liking. This paper investigates the domestic government's antidumping duty choice in an asymmetric information framework where the foreign firm's cost is observed by the domestic firm, but not by the government. To induce truthful revelation, the government can design a tariff schedule, contingent on firms' cost reports, accompanied by a threat to collect additional information for report verification (i.e., auditing) and, in case misreporting is detected, to set penalty duties. We show that depending on the concrete assumptions, the domestic government may not only be able to extract the true cost information, but also succeeds in implementing the full-information, governmental welfare-maximizing duty. In this case, the antidumping framework within GATT/WTO does not only offer the means to pursue strategic trade policy disguised as fair trade policy, but it also helps overcome the informational problems with regard to correctly determining the optimal strategic trade policy.

Unsupervised KDD to creatively support managers' decision making with fuzzy association rules:a distribution channel application

To be competitive in contemporary turbulent environments, firms must be capable of processing huge amounts of information, and effectively convert it into actionable knowledge. This is particularly the case in the marketing context, where problems are also usually highly complex, unstructured and ill-defined. In recent years, the development of marketing management support systems has paralleled this evolution in informational problems faced by managers, leading to a growth in the study (and use) of artificial intelligence and soft computing methodologies. Here, we present and implement a novel intelligent system that incorporates fuzzy logic and genetic algorithms to operate in an unsupervised manner. This approach allows the discovery of interesting association rules, which can be linguistically interpreted, in large scale databases (KDD or Knowledge Discovery in Databases.) We then demonstrate its application to a distribution channel problem. It is shown how the proposed system is able to return a number of novel and potentially-interesting associations among variables. Thus, it is argued that our method has significant potential to improve the analysis of marketing and business databases in practice, especially in non-programmed decisional scenarios, as well as to assist scholarly researchers in their exploratory analysis. © 2013 Elsevier Inc.

Informational report: Bycatch reduction devices used in the Pink Shrimp trawl fishery

The California Fish and Game Commission (Commission) has the authority to require one or any combination of Bycatch Reduction Device (BRD) types in the trawl fishery within California waters for Pacific ocean shrimp (Pandalus jordani), most commonly referred to as pink shrimp. The purpose of this report is to provide the Commission with the best available information about the BRDs used in the pink shrimp trawl fishery. The mandatory requirement for BRDs occurred in California in 2002, and in Oregon and Washington in 2003, resulting from an effort to minimize bycatch of overfished and quota managed groundfish species. Three types of BRDs currently satisfy the requirement for this device in the California fishery: 1) the Nordmøre grate (rigid-grate excluder); 2) soft-panel excluder; and 3) fisheye excluder; however, the design, specifications, and efficacy differ by BRD type. Although no data has been collected on BRDs directly from the California pink shrimp fishery, extensive research on the efficacy and differences among BRD types has been conducted by the Oregon Department of Fish and Wildlife (ODFW) since the mid-1990s. Rigid-grate excluders are widely considered to be the most effective of the three BRD types at reducing groundfish bycatch. Over 90 percent of the Oregon pink shrimp fleet use rigid-grate excluders. The majority of the current California pink shrimp fleet also uses rigid-grate excluders, according to a telephone survey conducted by the California Department of Fish and Game (Department) in 2007-2008 of pink shrimp fishermen who have been active in the California fishery in recent years. Hinged rigid-grate excluders have been developed in recent years to reduce the bending of the BRD on vessels that employ net reels to stow and deploy their trawl nets, and they have been used successfully on both single- and double-rig vessels in Oregon. Soft-panel excluders have been demonstrated to be effective at reducing groundfish bycatch, although excessive shrimp loss and other problems have also been associated with this design. Fisheye excluders have been used in the California fishery in the past, but they were disapproved in Oregon and Washington in 2003 because they were found to be less effective at reducing groundfish bycatch than other designs. The reputation of the United States west coast pink shrimp fishery as one of the cleanest shrimp fisheries in the world is largely attributed to the effectiveness of BRDs at reducing groundfish bycatch. Nevertheless, BRD research and development is still a relatively new field and additional modifications and methods may further reduce bycatch rates in the pink shrimp fishery.(PDF contains 12 pages.)

Posting Incognito ... Males with Eating Problems: Online Emotional Expression and Support

Qualitative research in the area of eating disorders (eds) has predominantly focused on females,whilst the experiences of males’ remains poorly understood. due to the secretive nature of eating problems/eds it can be difficult to explore the experiences of males with these problems; however, online support groups/message boards, which are common and popular, provide a non-invasive
forum for researchers to conduct research. This study analyzed naturally occurring discussions on an internet message board dedicated to males and eating problems using content analysis. Two major overarching themes of emotional expression (sharing feelings of disturbed eating attitudes and emotions; being secretive) and support (informational and emotional) were identified. The message board provided a vital support system for this group, suggesting that online message boards may be an important avenue for health professionals to provide information, support, and advice.

The Informational Complexity of Learning from Examples

This thesis attempts to quantify the amount of information needed to learn certain tasks. The tasks chosen vary from learning functions in a Sobolev space using radial basis function networks to learning grammars in the principles and parameters framework of modern linguistic theory. These problems are analyzed from the perspective of computational learning theory and certain unifying perspectives emerge.

Informational spillovers in the pre-1914 London sovereign debt market

We document a novel type of international financial contagion whose driving force is shared financial intermediation. In the London peripheral sovereign debt market during pre-1914 period financial intermediation played a major informational role to investors, most likely because of the absence of international monitoring agencies and the substantial agency costs. Using two events of financial distress – the Brazilian Funding Loan of 1898 and the Greek Funding Loan of 1893 – as quasi-natural experiments, we document that, following the crises, the bond prices of countries with no meaningful economic links to the distressed countries, but shared the same financial intermediary, suffered a reduction relative to the rest of the market. This result is true for the mean, median and the whole distribution of bond prices, and robust to an extensive sensitivity analysis. We interpret it as evidence that the identity of the financial intermediary was informative, i.e, investors extracted information about the soundness of a debtor based on the existence of financial relationships. This spillover, informational in essence, arises as the flip-side of the relational lending coin: contagion arises for the same reason why relational finance, in this case, underwriting, helps alleviate informational and incentive problems.

The informational turn in Philosophy: any novelty in the study of Mind?

The concept of information is analyzed starting from Adams' hypothesis in The Informational Turn in Philosophy, according to which there has been a far-reaching turn in Philosophy following the publication of Turing's article "Computing Machinery and Intelligence". Adams maintains that new guidelines are being indicated in philosophical research, having the concept of "information" as the basis for treatment of classical problems, such as the relationships between mind-body, perception-action, and the nature of knowledge, amongst others. Partially agreeing with Adams, we believe, however, that his hypothesis faces difficulties, the most fundamental of which concerns the different meanings given to the concept of information. We argue that even though the concept of information underlying the mechanicist proposal of Turing, according to which "to think is to compute", is indeed being employed in Philosophy, this is not because of its mechanistic nature, but mainly due to the representationist presupposition dominant in this area. From this point of view, the informational turn in philosophy would not provide any great novelty, given that since the earliest days philosophical approaches to the nature of mind have always been mainly representationist. The novelty would not lie specifically in the Turing thesis, but in reflections on the nature of information, especially ecological information, and its relation to action.

North Caucasus: the Russian Gordian knot. The key problems and conflicts in the region and the effect thereof on the future of Russia; Putin after re-election: The Kremlin's policy in Vladimir Putin's second term. OSW Study 16/2004

North Caucasus: North Caucasus is the most instable part of the Russian Federation: since the early 90's, there has been going on the military conflict in Chechnya, which is gradually spilling over into the other republics of the region, terrorism seems to have occupied its regular position in the political life of Caucasus, organized crime is flourishing, the tension persists there and military incidents and attacks are breaking out every now and again. During the recent year, the destabilization of the region, which affects many fields of Russian political and social life, has grown to an alarming size. Putin after re-election: Vladimir Putin's first term as President was a period of submitting political, regional and economic lobbies to the Kremlin. The actions Putin has taken since being re-elected are aimed at consolidating the Kremlin's control over the political, economic and social spheres. Further liquidation of political and informational pluralism, an increase of the ruling group's control over state and private property, and an intensification of state propaganda aimed at generating social support for the Kremlin's initiatives have all proceeded apace. These processes reinforce authoritarian tendencies and strengthen the emerging monocentric political system, with the President's strong domination over political, economic and social life.

Informational Barriers to Energy Efficiency - Theory and European Policies. Bruges European Economic Research (BEER) Papers 15/2009

This BEER addresses informational barriers to energy efficiency. It is a widely acknowledged result that an energy efficiency gap exists implying that the level of energy efficiency is at an inefficiently low level. Several barriers to energy efficiency create this gap and the presence of asymmetric information is likely to be one such barrier. In this article a theoretical framework is presented addressing the issues of moral hazard and adverse selection related to energy efficiency. Based on the theoretical framework, European policies on energy efficiency are evaluated. The article is divided into two main parts. The first part presents the theory on information asymmetries and its consequences on energy efficiency focusing on the problems of moral hazard and adverse selection. Having established a theoretical framework to understand the agency barriers to energy efficiency, the second part evaluates the policies of the European Union on energy efficiency. The BEER finds that problems of moral hazard and adverse selection indeed can help explain the seemingly low levels of energy. In both presented models the cost to the principal from implementing high energy efficiency outcome is increased with the informational asymmetries. The theory reveals two implications to policies on energy efficiency. First, the development of measures to enable contractual parties to base remuneration on energy performance must be enhanced, and second, the information on technologies and the education of consumers and installers on energy efficiency must be increased. This could be complemented with certification of installers and energy efficiency advisors to enable consumers to select good agents. Finally, it is found that the preferred EU policy instrument on energy efficiency, so far, seems to be the use of minimum requirements. Less used in EU legislation is the use of measuring and verification as well as the use of certifications. Therefore, it is concluded that the EU should consider an increased use of these instruments, and in particular focus on a further development of standards on measurability and verification as well as an increased focus on education of consumers as well as installers and advisors on energy efficiency.

Towards a model for exploring the relationship between managerial decision problems and decision support opportunities

The organisational decision making environment is complex, and decision makers must deal with uncertainty and ambiguity on a continuous basis. Managing and handling decision problems and implementing a solution, requires an understanding of the complexity of the decision domain to the point where the problem and its complexity, as well as the requirements for supporting decision makers, can be described. Research in the Decision Support Systems domain has been extensive over the last thirty years with an emphasis on the development of further technology and better applications on the one hand, and on the other hand, a social approach focusing on understanding what decision making is about and how developers and users should interact. This research project considers a combined approach that endeavours to understand the thinking behind managers’ decision making, as well as their informational and decisional guidance and decision support requirements. This research utilises a cognitive framework, developed in 1985 by Humphreys and Berkeley that juxtaposes the mental processes and ideas of decision problem definition and problem solution that are developed in tandem through cognitive refinement of the problem, based on the analysis and judgement of the decision maker. The framework facilitates the separation of what is essentially a continuous process, into five distinct levels of abstraction of manager’s thinking, and suggests a structure for the underlying cognitive activities. Alter (2004) argues that decision support provides a richer basis than decision support systems, in both practice and research. The constituent literature on decision support, especially in regard to modern high profile systems, including Business Intelligence and Business analytics, can give the impression that all ‘smart’ organisations utilise decision support and data analytics capabilities for all of their key decision making activities. However this empirical investigation indicates a very different reality.

The Informational Commons at Risk (Working Paper 8)

Conventional wisdom says that we are on the cusp of a Global Information Society, in which new technologies will provide citizens with unprecedented access to information. This is an appealing but flawed vision of the future. Governments are still reluctant to disclose information about core functions. At the same time, neoliberal reforms have caused a diffusion of power across sectors and borders, confounding efforts to promote governmental openness. Economic liberalization has also made it more difficult to enforce corporate disclosure requirements. Meanwhile, technological change has spurred efforts by businesses and citizens to strengthen their control over corporate and personal information. Efforts to defend the borders of the “informational commons” — the domain of publicly-accessible information — will be also be complicated by problems of policy design and political mobilization. Imposing transparency requirements was easier when authority was closely held by national and sub-national governments. The task is more difficult when power is widely diffused.

Change-point detection in environmental time series based on the informational approach

In this study, the Schwarz Information Criterion (SIC) is applied in order to detect change-points in the time series of surface water quality variables. The application of change-point analysis allowed detecting change-points in both the mean and the variance in series under study. Time variations in environmental data are complex and they can hinder the identification of the so-called change-points when traditional models are applied to this type of problems. The assumptions of normality and uncorrelation are not present in some time series, and so, a simulation study is carried out in order to evaluate the methodology’s performance when applied to non-normal data and/or with time correlation.