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Accounting & ManagementÁrboles de clasificación como herramienta para predecir dificultades financieras en empresas Latinoamericanas a través de sus razones contablesClassification trees as a tool to predict financial difficulties in Latin American companies through its financial ratios

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This paper analyses the presence of complementarity and substitutability relations between innovation policies in the software sector from Argentina. Supermodularity and submodularity tests between obstacles to innovation were performed with technological data from 257 Argentinean software firms, for the period 2008-2010. This research adds empirical evidence on the complementarities and supplementarities of innovation policies in an emerging economy and in a Knowledge Intensive Business Services sector. This kind of analysis allows to evaluate the convenience to attack jointly or separately a set of obstacles or separately. The results show multiple feedback relations between diverse obstacles and consequently between policies, and the main finding is that, in this emerging economy, innovation policies aimed to encourage firms to become innovators serve as well as an incentive for innovative firms to increase and intensify its innovation performance.

In this paper, we compare the methods proposed by Peña and Prieto (2001), and Filzmoser, Maronna, and Werner (2008) to detect outliers in a set of Argentine companies that quote their shares in the Stock Exchange. A significant heterogeneity between observations can be a consequence of the presence of outliers. The detection of outliers is an important task for the statistical analysis since they distort descriptive measures and parameters estimators. There are different multivariate methods to detect outliers, such as distance-based methods and projection pursuit methods.