Examples from trees, related to discrete subsets, pseudo-radiality and omega-boundedness

We construct some examples using trees. Some of them are consistent counterexamples for the discrete reflection of certain topological properties. All the properties dealt with here were already known to be non-discretely reflexive if we assume CH and we show that the same is true assuming the existence of a Suslin tree. In some cases we actually get some ZFC results. We construct also, using a Suslin tree, a compact space that is pseudo-radial but it is not discretely generated. With a similar construction, but using an Aronszajn tree, we present a ZFC space that is first countable, omega-bounded but is not strongly w-bounded, answering a question of Peter Nyikos. (C) 2008 Elsevier B.V. All rights reserved.

Testando o "dividend discountend model" com ações brasileiras

Este trabalho avalia a hipótese do Dividend Discounted Model ou Present Value Model, este modelo estabelece que o preço das ações é dado pelos dividendos futuros esperados antecipados por uma taxa apropriada de desconto. Utilizando dados de preços e dividendos de ações brasileiras, para os bancos Bradesco e Itaú, e a metodologia de vetores auto-regressivos, VAR, testamos se este modelo é respaldado empiricamente pelo comportamento dessas ações isoladamente. Como resultado geral temos uma aceitação de alguns aspectos não muito cruciais do modelo e uma forte rejeição da hipótese de que os dividendos sejam o fundamento do preço dessas ações, o que contradiz trabalhos anteriores realizados com a mesma metodologia para índices de ações.

Dividend yield e persistência de retornos anormais das ações : evidência do mercado brasileiro

Analisamos, empiricamente, o comportamento dos preços das ações após o anúncio do pagamento de dividendos. Nossa amostra foi constituída de 163 eventos, incluindo as ações mais negociadas na Bolsa de Valores de São Paulo, no período de 1998 a 2000. Encontramos uma relação direta entre o dividend yield e o retomo anormal acumulado destas ações no período pós-pagamento de dividendos, dividindo a amostra em três subamostras, em função do dividend yield. Obtivemos um retomo anormal acumulado, nos 90 dias após o evento, de 21,97% para as empresas que pagaram dividendos mais altos, 5,16% para as companhias que pagaram dividendos intermediários, e -15,50% para as empresas que pagaram dividendos mais baixos. Isto demonstra a persistência dos retornos anormais das ações no período pós-evento. Esta relação foi confirmada quando analisamos os eventos por tipo de controlador da empresa (fundos, estatais ou fanu1ias) e as companhias privatizadas, e quando pesquisamos o retomo acumulado das ações em função do percentual do lucro líquido distribuído sob a forma de dividendos.

Interação entre mercados : um estudo do 1º dia ex-dividend das ações de empresas brasileiras e de suas respectivas ADRs

O presente trabalho analisou o comportamento das ações de empresas brasileiras e de suas respectivas ADRs listadas em bolsa, em períodos próximos ao 1° dia ex-dividend. Através da análise dos retornos, pode-se perceber que as ações locais tiveram um desempenho médio superior ao das ADRs nos dias anteriores à data do evento. Esse fato sugere que os investidores estão preferindo comprar ações às ADRs, nesse período, em função de serem menos tributados quanto ao pagamento de dividendos no mercado brasileiro. Essa tendência se inverte na data do evento, quando as ADRs obtiveram um retorno bem superior ao das ações locais. A análise dos preços demonstrou que as ADRs são negociadas, em média, com um prêmio em relação as suas respectivas ações. A diferença de preços entre os papéis diminui próximo à data do evento e aumenta no dia ex-dividend, confirmando o que havia sido observado na análise dos retornos puros. O teste dos retornos anormais demonstrou que ambos os ativos apresentaram retornos anormais positivos no dia do evento, com significância estatística ao nível de 10%. Ficou evidenciado também que as ADRs tiveram um comportamento bem mais distante do esperado do que as ações locais.

Discrete public goods with incomplete information

We analyze simultaneous discrete public good games wi.th incomplete information and continuous contributions. To use the terminology of Admati and Perry (1991). we consider comribution and subscription games. In the former. comrioutions are :1ot rcfunded if the project is not completed. while in thp. iatter they are. For the special case whp.re provision by a single player is possible we show the existence of an equilibrium in Doth cootribution and subscription games where a player decides to provide the good by himself. For the case where is not feasible for a single player to provide the good by himself, we show that any equilibriwn of both games is inefficient. WE also provide a sufficient condition for "contributing zero" to be the unique equilibrium of the contribution garoe with n players and characterize e

Discrete public goods with incomplete information

We analyze simultaneous discrete public good games with incomplete information and continuous contributions. To use the tenninology of Admati and Perry (1991), we consider contribution and subscription games. In the former, contributions are not refunded ifthe project is not completed, while in the latter they are. For the special case where provision by a single player is possible we show the existence of an equihbrium in both contnbution and subscription games where a player decides to provide the good by himself. For the case where is not feasible for a single player to provide the good by himself: we show that there exist equilibria of the subscription game where each participant pays the same amount. Moreover, using the technical apparatus from Myerson (1981) we show that neither the subscription nor the contribution games admit ex-post eÁ cient equibbria. hl addition. we provide a suÁ cient condition for êontributing zero 'to be the unique equihbrium of the contnbution game with n players.

Practice location of physicians: a discrete choice model approach

Economists and policymakers have long been concerned with increasing the supply of health professionals in rural and remote areas. This work seeks to understand which factors influence physicians’ choice of practice location right after completing residency. Differently from previous papers, we analyse the Brazilian missalocation and assess the particularities of developing countries. We use a discrete choice model approach with a multinomial logit specification. Two rich databases are employed containing the location and wage of formally employed physicians as well as details from their post-graduation. Our main findings are that amenities matter, physicians have a strong tendency to remain in the region they completed residency and salaries are significant in the choice of urban, but not rural, communities. We conjecture this is due to attachments built during training and infrastructure concerns.

Bounds on policy relevant parameters with discrete policy variation

When estimating policy parameters, also known as treatment effects, the assignment to treatment mechanism almost always causes endogeneity and thus bias many of these policy parameters estimates. Additionally, heterogeneity in program impacts is more likely to be the norm than the exception for most social programs. In situations where these issues are present, the Marginal Treatment Effect (MTE) parameter estimation makes use of an instrument to avoid assignment bias and simultaneously to account for heterogeneous effects throughout individuals. Although this parameter is point identified in the literature, the assumptions required for identification may be strong. Given that, we use weaker assumptions in order to partially identify the MTE, i.e. to stablish a methodology for MTE bounds estimation, implementing it computationally and showing results from Monte Carlo simulations. The partial identification we perfom requires the MTE to be a monotone function over the propensity score, which is a reasonable assumption on several economics' examples, and the simulation results shows it is possible to get informative even in restricted cases where point identification is lost. Additionally, in situations where estimated bounds are not informative and the traditional point identification is lost, we suggest a more generic method to point estimate MTE using the Moore-Penrose Pseudo-Invese Matrix, achieving better results than traditional methods.

Sparse 1D discrete Dirac operators I: Quantum transport

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Sparse one-dimensional discrete Dirac operators II: Spectral properties

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A modified Primal-Dual Logarithmic-Barrier Method for solving the Optimal Power Flow problem with discrete and continuous control variables

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Continuous-time and discrete-time sliding mode control accomplished using a computer

A computer-based sliding mode control (SMC) is analysed. The control law is accomplished using a computer and A/D and D/A converters. Two SMC designs are presented. The first one is a continuous-time conventional SMC design, with a variable structure law, which does not take into consideration the sampling period. The second one is a discrete-time SMC design, with a smooth sliding law, which does not have a structure variable and takes into consideration the sampling period. Both techniques are applied to control an inverted pendulum system. The performance of both the continuous-time and discrete-time controllers are compared. Simulations and experimental results are shown and the effectiveness of the proposed techniques is analysed.

Dynamic Tracking with Zero Variation and Disturbance Rejection Applied to Discrete-Time Systems

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Likelihood approximations and discrete models for tied survival data

Ties among event times are often recorded in survival studies. For example, in a two week laboratory study where event times are measured in days, ties are very likely to occur. The proportional hazards model might be used in this setting using an approximated partial likelihood function. This approximation works well when the number of ties is small. on the other hand, discrete regression models are suggested when the data are heavily tied. However, in many situations it is not clear which approach should be used in practice. In this work, empirical guidelines based on Monte Carlo simulations are provided. These recommendations are based on a measure of the amount of tied data present and the mean square error. An example illustrates the proposed criterion.