Essential equilibria of large generalized games

We characterize the essential stability of games with a continuum of players, where strategy profiles may affect objective functions and admissible strategies. Taking into account the perturbations defined by a continuous mapping from a complete metric space of parameters to the space of continuous games, we prove that essential stability is a generic property and every game has a stable subset of equilibria. These results are extended to discontinuous large generalized games assuming that only payoff functions are subject to perturbations. We apply our results in an electoral game with a continuum of Cournot-Nash equilibria, where the unique essential equilibrium is that only politically engaged players participate in the electoral process. In addition, employing our results for discontinuous games, we determine the stability properties of competitive prices in large economies.     

Making Chile Visible: Purposes,Operationalisation and Audiences from the Perspective of Nation Branding Practitioners

Chile has become the paradigm of nation branding in Latin America, employing branding initiatives to try to shake off the uncomfortable past of Augusto Pinochet’s dictatorship, as well as to create a ‘new’ image that fits into a globalised and neoliberal world. Whilst there has previously been some analysis of Chile’s branding efforts, the viewpoints of the local actors involved in these initiatives have largely been ignored. This article addresses this issue, examining the tensions faced by different individuals who have taken part in nation branding in the country. Drawing on interviews with some of these individuals, this article examines three areas of tension: (1) the conflicting purposes guiding the practice of nation branding, (2) the difficulties around the operationalisation of nation branding and (3) the controversies regarding the intended audiences for their efforts.     

Country Differences in Material Deprivation in Europe

This paper assesses to what extent differences in the characteristics of individuals (micro‐level perspective) and country‐specific factors (macro‐level perspective) can explain country differences with respect to material deprivation levels. Thus, our work aims to simultaneously consider the macro dimension and the predominantly individually‐oriented study field of material deprivation using multilevel techniques. We make use of the European Union Statistics on Income and Living Conditions. Our results show that country‐specific factors seem to be much more relevant than individual effects in explaining country differences in material deprivation. We estimate that the introduction of country‐specific factors reduces the proportion of total variance due to between‐country differences in deprivation by 72.7 percent, while individual‐level variables reduce this proportion by only 9.4 percent. We also show, through interaction variables, that the effect of sociodemographic characteristics can be shaped by institutional and structural factors, especially by the level of GDP.     

Information and Investor Behavior Surrounding Earnings Announcements

The goal of this paper is to analyze the impact of annual earnings announcements on the market through the order flow data in addition to the usual transaction data. In this respect, examining order flow data can potentially reveal valuable information that is not available from transaction data. In fact, the data allow us to test hypotheses about asymmetric information and investor behavior and to test if the behavior varies with investor sophistication. In addition, the paper tries to identify the determinants of the impact on a firm's value using assumptions about investor behavior.     

Medición y comprensión del comercio de tareas en el sector de los servicios

La revolución de las TIC ha generado un alto riesgo de deslocalización de las tareas más comercializables en el sector de los servicios. Se revisan aquí estudios que proponen indicadores de comerciabilidad de los servicios, exploran las implicaciones de su deslocalización y desarrollan modelos teóricos al respecto. Tanto el nivel de calificación requerido como la comerciabilidad podrían ser determinantes clave de los efectos sobre los salarios y el empleo. Sin embargo, la falta de definiciones consensuadas de comerciabilidad y de datos fiables sobre el comercio de servicios, junto con la dificultad de evaluar la competencia de las importaciones a niveles desagregados, obstaculizan el avance de los estudios empíricos y descubren áreas para futuras investigaciones.     

Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting

Factor models have been applied extensively for forecasting when high‐dimensional datasets are available. In this case, the number of variables can be very large. For instance, usual dynamic factor models in central banks handle over 100 variables. However, there is a growing body of literature indicating that more variables do not necessarily lead to estimated factors with lower uncertainty or better forecasting results. This paper investigates the usefulness of partial least squares techniques that take into account the variable to be forecast when reducing the dimension of the problem from a large number of variables to a smaller number of factors. We propose different approaches of dynamic sparse partial least squares as a means of improving forecast efficiency by simultaneously taking into account the variable forecast while forming an informative subset of predictors, instead of using all the available ones to extract the factors. We use the well‐known Stock and Watson database to check the forecasting performance of our approach. The proposed dynamic sparse models show good performance in improving efficiency compared to widely used factor methods in macroeconomic forecasting. Copyright © 2014 John Wiley & Sons, Ltd.