Dominance Statistics: A Simulation Study on the d Statistic

Quality &; Quantity - Cliff (1993) has proposed the use of a measure of effect size alternative to traditionalmean differences: δ {? = Pr(xi1 &;gt; xj2) - Pr(xi1 &;lt; xj2)}which,...     

Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies

This paper draws attention for the fact that traditional Data Envelopment Analysis (DEA) models do not provide the closest possible targets (or peers) to inefficient units, and presents a procedure to obtain such targets.It focuses on non-oriented efficiency measures (which assume that production units are able to control, and thus change, inputs and outputs simultaneously) both measured in relation to a Free Disposal Hull (FDH) technology and in relation to a convex technology. The approaches developed for finding close targets are applied to a sample of Portuguese bank branches.     

Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area

This paper tests the significance and the non-linearity of the Phillips trade-off in the aggregate Euro Area, in an unobserved components model of stochastic NAIRU and trend output featuring the Phillips equation and the Okun law as main identifying equations, with quarterly data for 1970:I-2002:III. The Phillips curve turns out to be linear and its trade-off statistically significant, while non-linearity shows up in the Okun relation. The results prove to be robust to alternative lag length structures of the model, and to alternative non-linear functional forms. The trend-cycle decompositions estimated with the model capture the main features of the Euro Area’s recent macroeconomic record.First version received: 1 September 2003 / Final version received: June 2004CEMPRE - Centro de Estudos Macroeconómicos e Previsão - is supported by the Fundação para a Ciência e a Tecnologia, Portugal, through the Programa Operacional Ciência, Tecnologia e Inovação (POCTI) of the Quadro Comunitário de Apoio III, which is financed by FEDER and Portuguese funds.We thank comments on earlier versions by Fabio Canova, Miguel St Aubyn, Alvaro Almeida, Pete Richardson, Kevin Ross, and two anonymous referees. We acknowledge James D. Hamilton’s help with the confidence bands. The usual disclaimer applies.     

Inequality and Income Distribution in Global Value Chains

Global value chains (GVCs), led by transnational corporations (TNCs), have reshaped the world division of labor over the past two decades. GVCs are pervasive in low technology manufacturing, such as textile and apparel, as well as in more advanced industries like automobiles, electronics, and machines. This hierarchical division of labor generates wild competition at the lower value-added stages of production, where low wages and low profit margins prevail for workers and contract manufacturers in developing countries. At the top of the hierarchy another kind of competition prevails, centered on the ability to monitor and control intellectual property rights related to innovation, finance, and marketing. We argue that GVCs have had crucial effects on income inequality and the appropriation of rents in modern capitalism.     

More on the role of switching costs in service markets: A research note

The present paper focuses on several important and under-researched issues related to switching costs (SC) as a defensive marketing tool in retaining customers with complaint handling. While most previous research analyzed the effects of SC on the behavioral intent of customers, our findings have focused on the actual behavior of bank customers; that is, staying with or leaving the bank to which they had complained previously. The findings show that, of the six potential facets of SC, only two significantly affect the actual behavior of complainants, one directly (i.e., Continuity Costs) and the other as a moderator (i.e., Learning Costs). Likewise, a customer's evaluation of the complaint handling affects behavior directly.     

Collaborative Decision-Making in Non-formal Planning Settings

Planning initiatives outside the formal planning system can constitute a favourable environment for implementing and analysing collaborative decision-making processes. The conceptualisation of the decision-making context in the light of the Policy Network analysis helps to better understand the underlining conditions, as well as their influence in the outcomes. In the case under analysis, were the decision-making conditions were of co-responsibility and power-sharing, the challenge has been to warrant the effectiveness of the decisions, which lies, as is argued, in the reliability of the framework for decision-making and in the ability to translate the collaborative participation outputs into actions at different time-frames. Moreover, as the case-study deals with strategic spatial planning, a future oriented approach is needed to warrant the flexibility and robustness of the plan in addressing the uncertainty associated with long term objectives. Those are the critical issues to be handled in the multi-criteria analysis (MCA) framework which sustains the analytical hierarchy process (AHP) that was used to support the decision-making process.     

Evidence of the impacts of public e-procurement: The Portuguese experience

This paper analyses public e-procurement implementation and emphasizes its main difficulties and impacts in relation to the type of public organizations. The primary impacts and changes in the Portuguese public sector are analyzed within the new legal framework, which adopts mandatory e-procurement for any open, restricted or negotiated procedure. In this sense, two surveys carried out in consecutive years were conducted to assess the implementation difficulties and impact of e-procurement in the Portuguese public sector.The major value of this research is that it presents and discusses, for the first time, evidences about difficulties and impacts on the mandatory adoption of public e-procurement, based on the case of Portugal. The results show that the entities’ administrative level influences the e-procurement implementation, which is influenced by the innovation adoption process.     

Affective predictors of the effectiveness of training moderated by the cognitive complexity of expected competencies

Research in training, development and education (TD&E) in organizations has produced important results in the last two decades. Evaluation of TD&E has been a special focus of this research, which has resulted in the production of relevant predictive models. The present study has the aim of testing a model of effectiveness of training on work, with the trainee's motivation and satisfaction with training as the antecedent variables and the type of training as a moderator variable. Data collection with 600 participants in a Brazilian bank was conducted with measurement scales before training, at its end and three months later. The data were analyzed through structural equation modeling. The results indicate that the motivation of the trainee and satisfaction with training are predictors of its effectiveness on work and that the type of training affects this predictive relationship. The key feature of the type of training was the cognitive complexity of expected competencies.     

Defaultable debt, interest rates and the current account

World capital markets have experienced large scale sovereign defaults on a number of occasions. In this paper we develop a quantitative model of debt and default in a small open economy. We use this model to match four empirical regularities regarding emerging markets: defaults occur in equilibrium, interest rates are countercyclical, net exports are countercyclical, and interest rates and the current account are positively correlated. We highlight the role of the stochastic trend in emerging markets, in an otherwise standard model with endogenous default, to match these facts.