Urban or rural fragments: which soil use in forest surroundings induces greater litter deposition?

Urban Ecosystems - The soil use in surroundings of forest remnants, as well as, variations in seasonality and rainfall totals from each year might influence the composition, structure, and...     

Adjusted Likelihood Inference in an Elliptical Multivariate Errors-in-Variables Model

In this paper, we obtain an adjusted version of the likelihood ratio (LR) test for errors-in-variables multivariate linear regression models. The error terms are allowed to follow a multivariate distribution in the class of the elliptical distributions, which has the multivariate normal distribution as a special case. We derive a modified LR statistic that follows a chi-squared distribution with a high degree of accuracy. Our results generalize those in Melo and Ferrari (Advances in Statistical Analysis, 2010, 94, pp. 75–87) by allowing the parameter of interest to be vector-valued in the multivariate errors-in-variables model. We report a simulation study which shows that the proposed test displays superior finite sample behavior relative to the standard LR test.     

A modified signed likelihood ratio test in elliptical structural models

In this paper we deal with the issue of performing accurate testing inference on a scalar parameter of interest in structural errors-in-variables models. The error terms are allowed to follow a multivariate distribution in the class of the elliptical distributions, which has the multivariate normal distribution as special case. We derive a modified signed likelihood ratio statistic that follows a standard normal distribution with a high degree of accuracy. Our Monte Carlo results show that the modified test is much less size distorted than its unmodified counterpart. An application is presented.     

Effects of vibration exposure on professional drivers: a field test for quantifying visual and cognitive performance

Effects of whole-body vibration (WBV) exposure on professional drivers were predicted using a 45 subjects sample of healthy volunteers from both genders. These volunteers preformed a visual/motor accuracy evaluation test, the 'omega test', inside a vehicle (van) under three different WBV exposure conditions, van halted, van performing a circuit on asphalt, and on cobblestone. WBV levels of the stated conditions were statistically different and impairment upon subjects' performance was found. The statistical significant difference encountered between the subjects performance under the two whole-body vibration profiles (asphalt and cobblestone), seems to indicate that the vibration levels also represent a variable to be taken under consideration. No gender related difference was found.     

How leader humility helps teams to be humbler,psychologically stronger,and more effective: A moderated mediation model

We hypothesize that (a) the level of humility expressed by leaders predicts team performance through, serially, team humility and team PsyCap, and (b) the strength (i.e., consensus within the team) of the leader humility, team humility and team PsyCap moderates the paths of that hypothesized model. A sample comprising 82 teams (82 leaders; 332 team members) was collected. Team members reported leader humility, team humility and team PsyCap. Leaders reported team performance. To handle the risks of common method bias, each mediating path of the hypothesized model is based on data from two different subsamples within each team. Our model's most novel theoretical contribution is the (moderated mediated) connection between leader humility, collective humility, and team PsyCap, and this was consistently supported in our data. Our inconsistent findings dealing with the relationship between team PsyCap and performance is well established in the literature and our results in both sub-samples were in the theorized direction. The study contributes to understand why, how and when humble leaders are more effective.     

Long distance intimacy: class,gender and intergenerational relations between mothers and children in Filipino transnational families

Abstract In this article I address transnational intergenerational relations between Filipino migrant mothers and their young adult children and examine how families achieve intimacy across great distances. I do this by identifying and examining the transnational communication methods Filipino migrant families use to develop intimacy, in other words familiarity, across borders. In my analysis, I address how political economy and gender shape the dynamics of transnational communication. By showing how economic conditions and gender shape transnational family communication, I provide a socially thick lens through which to understand the formation of transnational intimacy and emphasize how larger systems of inequality shape the lives of the children left behind by the global migration of women.     

Computable general equilibrium models for trade policy analysis in developing countries: A survey

This paper surveys the contributions of computable general equilibrium (CGE) simulation models designed to quantify the implications of alternative trade policy scenarios in developing countries. The paper starts with a review of the basic structure of CGE models, using a one-sector model with product differentiation on the import and export side. The basic properties of CGE models are established and a series of applications to trade policy, internal-external balance and growth, and intertemporal issues are discussed.     

Money, real output, and deficit effects of coffee booms in Colombia

This paper develops a Vector Error Correction (VEC) model and uses the recently developed technique of ‘generalized’ impulse response analysis to test the empirical relationships in the Colombian economy between coffee revenues and a set of macro variables. We find that coffee price (revenue) shocks have exerted an important influence on money growth, inflation, and real exchange rates, and the direction of these effects are in line with some of the predictions of traditional Dutch Disease type models. The major difference between our results and the results of Dutch Disease type models arise in the effects of coffee booms on real output. We find that in the time horizon of 5 years after the boom, real output has increased in response to the effects of the coffee boom. The finding that coffee booms can result in positive long-run output effects is an important finding since it contradicts the traditional conclusion of Dutch Disease type models which envision an adverse long-run effect on output. We also find that the long-run effect of coffee booms is to reduce both current account and government deficits. These results illustrate strikingly that the term “Dutch Disease” is an unfortunately pejorative term that obscures the fact that coffee booms need not be viewed as a “disease” but as an extraordinary opportunity to strengthen internal and external balances.     

PROMETHEE IV through kernel density estimation

ABSTRACT

This paper presents a new version of PROMETHEE IV, which considers the empirical distribution of the criteria through kernel density estimation to evaluate alternatives. The developed method has the ability to treat criteria according to their distribution. The classic PROMETHEE IV can produce divergent integrals, and this could be the cause for its insufficient exploration in literature. The proposed method overcomes this situation since large values have little weight compared to values near the mean.