European countries continue to differ considerably from one another economically, not only in economic growth assessed by GDP growth rates but also in their companies' population by Economic Activities. Nonetheless these regular differences, the occurrence of crisis and other economic events can promote economic turbulence conducing to different responses, conditioned by each country's specificities. The occurrence of the 2008 financial crisis, the subsequent economic and sovereign debt crisis introduced additional factors of turbulence in the business sustainability of the European (EU) companies. This research, supported by the COSTATIS method, analyses the co-structure and measures the discrepancy between the population of EU companies for each NACE and the GDP components in their dynamics from 2008 to 2014. The results detected greater discrepancies between the population of companies and the stability of economic growth for a subset of EU countries with particularities regarding their NACE and GDP components.

SUMMARYThe latest global economic and financial crisis has had adverse social consequences in many areas, including income and the social situation of households and their living conditions, especially when the housing phenomenon is addressed. The reality of this uncertainty has made the study of the housing phenomenon even more relevant, in particular from the perspective of an analysis of its evolution. In this context, we revisit EUROSTAT's databases. This analysis was done for twelve Euro Area countries over five years, using the HJ-BIPLOT method developed by Galindo (1986). This multidimensional approach identified and represented twelve Eurozone sample countries in latent constructs of reduced dimensionality related to the housing policy problem. The simultaneous factorial representation identified (a) the most relevant variables to characterize these countries, (b) their trajectories during the period in analysis, and (c) the relations between variables, between countries, and between variables and countries. This approach also identified the most significant factors contributing to the countries' performance. This methodological approach can be useful in housing research, when studying data of a multivariate nature, and is also, by its visual interpretation, a potential tool for producing richer information not only for academia but also for policy makers.

La tasa de crecimiento económico es diferente entre áreas o regiones, y estas divergencias generan un impacto potencial en la calidad de vida. La ocurrencia de la crisis financiera y económica de 2008, puede fortalecer estas brechas. El crecimiento económico en este análisis incluye seis niveles de tasas de crecimiento del producto interno bruto (PIBgr) y siete variables con implicaciones directas en la calidad de vida de las familias. Las observaciones son quince países de la UE, organizados en tres grupos: el norte, el centro y el sur. El método STATICO (Simier et al., 1999) utilizado en esta investigación es un análisis multivariante de tres vías apoyado en un análisis triádico parcial (PTA, Thioulose y Chessel, 1987) para encontrar la parte estable de la estructura de una serie de tablas del 2006 al 2014, sobre una estructura común resultante del análisis de co-inercia (Dolédec y Chessel, 1994) aplicado a cada par de tablas de crecimiento económico y tablas de calidad de vida. Con este método se pudo extraer la parte estable de las relaciones comunes de crecimiento económico-calidad de vida y analizar las influencias de la crisis financiera de 2008.