Robust implementation under alternative information structures

In this paper we consider a model in which agents have complete information about their neighbors and, possibly, incomplete information about the rest of the environment. We consider two different informational frameworks. In the first, agents do not have priors about the relevant characteristics in the rest of the environment. In the second, agents are supposed to have priors about the unknown characteristics. We present a mechanism which implements any social choice correspondence satisfying monotonicity and no veto power in both informational settings for every possible prior thus requiring little knowledge from the point of view of the designer of the information possessed by agents about the environment. The authors wish to thank J. Canals, B. Chakravorty, P. Chander, C. Herrero, G. Orosel, D. Schmeidler, W. Thomson, W. Trockel, F. Vega, A. Villar, T. Yamato and two anonymous referees for helpful comments. The usual disclaimer applies. The first author acknowledges financial support from the Institució Valenciana d’Estudies i Investigació; L.V.I.E. and DGICYT under projects PB/88-0289 and PB/91-0756. The second author acknowledges financial support from DGICYT under project PB/90-0156. A previous version of the paper was written when authors visited (May 1991) the Institute of Mathematical Economics (Bielefeld) to which authors are grateful.     

Systemic risk measures: The simpler the better?

This paper estimates and compares two groups of high-frequency market-based systemic risk measures using European and US interbank rates, stock prices and credit derivatives data from 2004 to 2009. Measures belonging to the macro group gauge the overall tension in the financial sector and micro group measures rely on individual institution information to extract joint distress. We rank the measures using three criteria: (i) Granger causality tests, (ii) Gonzalo and Granger metric, and (iii) correlation with an index of systemic events and policy actions. We find that the best systemic measure in the macro group is the first principal component of a portfolio of Credit Default Swap (CDS) spreads whereas the best measure in the micro group is the multivariate densities computed from CDS spreads. These results suggest that the measures based on CDSs outperform measures based on interbank rates or stock market prices.     

A heuristic method for parameter selection in LS-SVM: Application to time series prediction

Least Squares Support Vector Machines (LS-SVM) are the state of the art in kernel methods for regression. These models have been successfully applied for time series modelling and prediction. A critical issue for the performance of these models is the choice of the kernel parameters and the hyperparameters which define the function to be minimized. In this paper a heuristic method for setting both the σ parameter of the Gaussian kernel and the regularization hyperparameter based on information extracted from the time series to be modelled is presented and evaluated.     

International entrepreneurship in SMEs: a study of influencing factors in the textile industry

International entrepreneurship is an incipient research area with a rapidly increasing body of knowledge and contributions. An important part of this literature has focused on the analysis of the contributing factors to IE development. From these studies, this work attempts to analyse and validate through an integrative model the effect on this construct in SME of some of the main factors proposed by the literature such as Skills and Competences, Attitude and Proactiveness, Creativity and Innovation, Networking, Employees and Activity. To proceed with this aim, we conducted an empirical research focused on 174 textile SME in Spain. The results obtained confirm a positive relationship between the studied factors and the IE development. In consequence, this work agrees with previous literature that point out the need to use multi-theoretical perspectives, combining multiple factors.     

Social entrepreneurs: making sense of tensions through the application of alternative strategies of hybrid organizations

Through the use of qualitative analysis, this paper examines the diverse tensions that social entrepreneurs have to deal with in their daily business activity. By using paradox theory and the hybrid organization model as a framework for analysis, we have found three principle causes of tension among social entrepreneurs: social vs economic sustainability; work vs family life; and resistance to change vs innovation. The results show the way in which social entrepreneurs in hybrid organizations resolve these conflicting tensions, usually through a selective coupling strategy, which is eventually complemented with alternative approaches such as compromising or decoupling. Social entrepreneurs tend to focus on one aspect of the tension and deal with it individually, which makes it more manageable. Change and innovation are the triggers for using strategies other than selective coupling, such as compromising or decoupling. When the level of tension rises further, compromising is then used. Decoupling is the last option chosen by social entrepreneurs, and is used only in cases where resolution is not possible with the other two strategies mentioned.

     

Unemployment duration and workers' wage aspirations in Spain

This paper examines unemployed workers' declared willingness to work for wages lower than the one adequate for their qualification. We analyze which personal and economic characteristics determine this willingness and how it changes along the individuals' unemployment spells. The main results are: (i) Young workers, less educated and those living in regions or times of high unemployment are more willing to accept reduced wages while married women with a working husband are much less willing to do so; (ii) Once the individual fixed effect is controlled for, the willingness to work for reduced wages increases with the duration of unemployment; (iii) Not having access to unemployment benefits increases the probability that initially unwilling workers become willing to accept reduced wages.     

Combining Probability Distributions by Multiplication in Metrology: A Viable Method?

In measurement science quite often the value of a so‐called ‘output quantity’ is inferred from information about ‘input quantities’ with the help of the ‘mathematical model of measurement’. The latter represents the functional relation through which outputs and inputs depend on one another. However, subsets of functionally independent quantities can always be so defined that they suffice to express the entire information available. Reporting information in terms of such a subset may in certain circumstances require aggregating probability distributions whose arguments are interrelated quantities. The option of aggregating by multiplication of distributions is shown to be susceptible of yielding inconsistent results when the roles of inputs and outputs are assigned differently to the quantities. Two alternatives to this practice that do not give rise to such discrepancies are discussed, namely (i) logarithmic pooling with weights summing to one and (ii) linear pooling, of which the former appears to be slightly more favourable for applications in metrology. An example illustrates the inconsistency of results obtained by distinct ways of multiplying distributions and the manner in which these results differ from a logarithmically pooled distribution.     

Measuring Corporate Social Responsibility in tourism: Development and validation of an efficient measurement scale in the hospitality industry

This article aims at developing an efficient measurement scale for corporate social responsibility in the tourism industry, given the contextual character that is recognized in the practice of this construct. Indicators were generated on the basis of a literature review and qualitative research. To assess the reliability and validity, first- and second-order confirmatory factor analysis were carried out. Results show a multidimensional structure of this construct—including economic, social, and environmental issues. This study contributes to the advancement of knowledge in the field of social responsibility through its practical application regarding concepts of sustainable development which have mainly been theoretical. The authors would like to thank the two anonymous reviewers for many helpful comments and suggestions. E-mail: shumookh333alghamdi@hotmail.comView all notes     

Testing Heterogeneous Image in Cultural/Non‐cultural Tourism Markets: a Latent Model Approach

We identify the latent variable ‘destination image’ to segment tourism demand based on the different types of behaviour generated by those images. We used simultaneous latent structure analysis, which also permits a comparison of the degree of homogeneity or heterogeneity of two or more tourist markets. After presenting the most significant methodological aspects of this technique, we describe its application to the data of a study of the behaviour of tourism demand of Andalusia to determine whether those tourists with a marked inclination for cultural tourism have a similar (homogeneous) image of this destination as do other tourists. Copyright © 2011 John Wiley & Sons, Ltd.     

The Robustness of the Conditional CAPM with Human Capital

An empirical evaluation is provided of the robustness of theconditional capital asset pricing model (CAPM) with human capitalto explain the cross-sectional variability of security returns.This model has been evaluated in the literature using the growthrate in per capita labor income. This article looks at richermeasures of human capital returns. It develops measures thatincorporate the costs and benefits of educational investment,skill premiums, worker experience, and other relevant featuresof human capital markets. It also considers variables that helpto forecast future human capital returns. We find that someof these richer measures help improve substantially the performanceof the model.