Redistribution and entrepreneurship with Schumpeterian growth

We examine the effects of redistributive taxation on growth and inequality in a Schumpeterian model with risk-averse agents. There are skilled and unskilled workers, and the growth rate is determined by the occupational choice of skilled agents between entrepreneurship and employment. We show that redistribution provides insurance to entrepreneurs and increases the growth rate. The effects on inequality are such that low tax rates increase inequality relative to laissez-faire due to changes in wages, but higher tax rates can simultaneously raise growth and reduce inequality. We contrast the optimal linear income tax with alternative policies for promoting R&D and find that it is preferable on both equity and efficiency grounds.      

Comparing new Keynesian models in the Euro area: a Bayesian approach

This paper estimates and compares four versions of the sticky price New Keynesian model for the Euro area using a Bayesian approach. We find that the average duration of price contracts is between two and four quarters, while the average duration of wage contracts is estimated to be below two quarters. Both mechanisms of price and wage indexation are not important when autocorrelated price markup shocks are introduced in the model. These results are in stark contrast to Smets and Wouters (2003): when we use their priors, our estimated posterior distributions are similar to theirs, but the models’ fit to the data is worse. We are thankful to the Econometric Modelling Unit at the European Central Bank for providing us with the Euro area data. We also thank two anonymous referees for helpful suggestions. The views expressed in this paper are those of the authors and do not necessarily reflect the views of Caixa d’Estalvis i Pensions de Barcelona (“la Caixa”).     

Volatility and VaR forecasting in the Madrid Stock Exchange

This paper provides an empirical study to assess the forecasting performance of a wide range of models for predicting volatility and VaR in the Madrid Stock Exchange. The models performance was measured by using different loss functions and criteria. The results show that FIAPARCH processes capture and forecast more accurately the dynamics of IBEX-35 returns volatility. It is also observed that assuming a heavy-tailed distribution does not improve models ability for predicting volatility. However, when the aim is forecasting VaR, we find evidence of that the Student’s t FIAPARCH outperforms the models it nests the lower the target quantile.      

Trade in the enlarged European Union: a new approach on trade potential

This paper focuses on the trade potential of manufactured exports from countries belonging to the enlarged EU (EU25) to groups of countries of that economic area in 2002. We note that previous results on trade potential, based on the estimation of a gravity model, may be invalid. Thus, we propose a correct approach based on the Poisson Pseudo-Maximum Likelihood estimator and the calculation of confidence intervals with the Delta method. The gravity model includes fixed effects to capture bilateral trade specificities between country groupings. We conclude that CEEC as a group had apparently exhausted the possibilities for export expansion in the EU25, unless dynamic changes were to take place. However, several of the remaining EU25 countries had not yet reached their export potential to the EU25 markets, including to the CEEC as a group.     

Visualization of time-dependent dynamics of postglacial rebound

Postglacial rebound is a major geological process which plays an important role in many areas in the earth sciences. Up to now, most of the images derived from studies of the glacial isostatic adjustment phenomenon have been concerned with surface signatures, such as the uplift and gravity anomalies and not much attention has been paid on the dynamical responses in the mantle. We will make use of the 3D visualization package Amira to depict both the external and internal deformation histories of the transient viscoelastic flow inside the mantle induced by postglacial uplift. Of particularly great interest are the transient displacement fields and shear heating inside the mantle. This same visualization technology can be brought to bear in the future for visualizing tsunami waves in ocean basins excited by earthquakes, volcanic eruptions and InSAR images. We have also integrated the visualization results into the Google Earth virtual globe by combining this scheme with the Amira package to provide a better geographical and dynamical context.     

The tourism SMEs in the global value chains: the case of Andalusia

This paper examines the implications of the globalization of value chains for the role of small and medium-sized enterprises (SMEs) in the tourism industry. To begin with, the configuration of the global tourism value chain is analysed. Next, the participation of Andalusian SMEs in the global tourism value chains is investigated. A number of case studies have been developed in two relevant sectors, hotels and travel agencies, giving priority to the main tourist typologies existing in Andalusia: sun and sand, business and congress, cultural and rural. As a result, a SWOT analysis has been produced. Finally, from the key findings some policy recommendations supporting the role of tourism SMEs in global value chain are made.

Beyond Over-representation: The Problem of Bias in the Inclusion of Minority Group Students in Special Education Programs

The over-representation of ethnic and cultural minorities in Special Education Programs (SEPs) is a problem for education systems whenever objective features in each subject cannot explain this excess. In contrast to what is normally claimed, the problem lies not in over-representation of minorities, but in bias against these groups. In this article, bias is defined as the difference between the probability of being included in a SEP conditioned not only by belonging to an ethnic minority group, but also by the presence or absence of objectively-identifiable problems.The normal procedure for determining over-representation is based on an analysis of the remainder from a logistic model in which the dependent variable is given by an odds ratio. However, over-representation does not necessarily show the presence of bias. In this article, we argue that the presence of bias can be demonstrated using the density of minorities in each district as a predictor of over-representation.In order to determine the presence of bias, this article proposes three methodological changes to the normal procedure for the measurement of over-representation. First, a modification is suggested for the calculation of the traditional odds ratio, taking as the reference group the culturally dominant group, independent of its size in the given district. Second, the criteria for the determination of over-representation are the statistical significance of the difference in the proportion of minority students when compared to the reference group. Finally, the density of minorities is used as a predictor of statistically significant differential placement (SSDP).To illustrate the method, data from The Fall 1994 Elementary and Secondary School Civil Rights Compliance Report (U.S. Department of Education, 1994) is used. Using this data we will describe the pattern of Differential Placement (DP) of ethnic minority students in the disabled programs of Serious Learning Disabilities (SLD) and Serious Emotional Disturbance (SED) using the variable of minority density in the district.Results show ethnic minority membership implies a higher chance of being placed in the SEP mentioned below. However, as minority group density increases, this probability also increases to a maximum point. At this point, the probability of minority students being diverted towards a Disabled Program starts to decrease. This inflexion point in the distribution of placement changes according to ethnic minority group and SEP. The innovative feature of this work is the study of the density of minority groups as the main predictor of over-representation in SEPs.     

Encouraging organizational performance through the influence of technological distinctive competencies on components of corporate entrepreneurship

Firms’ technological distinctive competencies (TDCs) help CEOs to confront their reality based on technological knowledge to achieve and exploit competitive advantage by encouraging the different dimensions of corporate entrepreneurship (innovation, new business venturing, proactiveness and self-renewal). The main purpose of this paper is thus to highlight how companies that strive to improve technological competencies within the firm achieve higher organizational performance through different components of corporate entrepreneurship and their interrelationships. This study seeks to fill this research gap by analyzing theoretically and empirically how TDCs enhance innovation, new business venturing and proactiveness and their interrelationships to achieve self-renewal and thus improve firms’ organizational performance. The methodology used is LISREL analysis. We test the model with data from 201 Spanish organizations. Our research contributes theoretical and empirical arguments on the value of TDCs to the organization, arguments that are especially important because organizations sometimes fail to achieve sustainable competitive advantage due to their limited understanding of the relationships between these strategic variables.     

Technological innovation versus non-technological innovation: different conditions in different regional contexts?

This study identifies the conditions that, at a regional level, facilitate the emergence of technological and non-technological innovation. One of the most promising lines in the discussion of the processes of regional innovation lies in explaining the different conditions of the various forms innovation process can take. We use fsQCA methodology to test the model. QCA is a method based on set theory that assumes the influence of certain elements in a specific outcome that depend on the combination of those elements; not just on the levels of the individual elements, as in traditional methods. First, we found that the absence of a single condition appears limiting for both types of innovation, which calls for customized innovation policies tailored to the regional context. Second, we found that some sets of innovation characteristics are sufficient conditions for regions to innovate. Among the selected sets, we found that the combination of firm collaboration and public and private R&D are sufficient for both types of innovation, which should be informative for regional policy. The fsQCA also identified alternative pathways—different for both types of innovation. Collaboration seems to be relevant since it is present in all the configurations for sufficient conditions.     

Synergistic effects and the co-existence of networks in clusters

Abstract

Network systems like clusters are characterized by the coexistence of relational architectures with ties and nodes of different nature. While recent research has analysed how a set of structural features shape the dynamics and effects of one cluster network, the outstanding question is to what extent such features and outcomes are influenced by the concomitance of distinct content-related linkages. This paper integrates both network and evolutionary economic geography perspectives to develop and test a model that links innovation performance with the benefits that stem from technical and business relations. Data collected in a biotech cluster in the Valencia region (Spain) demonstrate the changing effect of brokerage and overlapping ties on innovation as a function of knowledge shared. Findings extend the theoretical understanding of how knowledge diffuses in clusters and provide valuable insights for both practitioners and policy makers.