This paper consists of the application of the Hierarchical lineal model (multilevel methodology) which takes in consideration the interaction between individual and aggregated variables. It is intented to measure eterminants of student performance in their last year of school in three...

This study focus on the relationship between crime and business cycle in Argentina, at national and provincial level, using monthly time series for the period 1999-2008. For that end we examine the presence of common factors (interpreted as cyclical components) driving the dynamics of a set of...

This paper presents a collection of spatial econometrics tools to detect global and local spatial dependence. These tools are used to analyze the spatial structure of the unemployment rate in Argentina in Census 2001 and 2010. Detailed study enables identification and comparison of persistent...

The paper shows a new non-parametric test, based on symbolic entropy, which permits detect spatial causality in cross-section data. The test is robust to the functional form of the relation and has a good behaviour in samples of medium to large size. We illustrate the use of test with the case...

Spatial econometrics is a relatively young branch econometric but with a great growth in the last decades. The complexity of spatial analysis and the estimation of spatial models has been the major obstacle for applied studies. The aim of this paper is to contribute to the diffusion of spatial...

In spatial econometrics, it is customary to specify a weighting matrix, the so-called W matrix. The decision is important because the choice of W matrix determines the rest of the analysis. However, the procedure is not well defined and, usually, reflects the priors of the user. In the paper, we...

Testing the assumption of independence between variables is a crucial aspect of spatial data analysis. However, the literature is limited and somewhat confusing. To our knowledge, we can mention only the bivariate generalization of Moran’s statistic. This test suffers from several...

Testing for the assumption of independence between spatial variables is an important first step in spatial conometrics. Usually the researchers use the bivariate generalization of the Moran’s statistic, specifying a spatial matrix a priori. This test is applicable only to detect linear...

In this paper we show the capacity of a new nonparametric test based on entropy and symbolic dynamics to deal with the detection of spatial causality. The good performance of the new test in to detect causal relationships is considered by numerical experiments, and through an empirical...

In the present paper was to assess the performance of soybean cultivars different environments or planting dates. The variable of interest was performance dry matter per hectare of these cultivars with different maturity groups. We compare two statistical techniques often used for this data:...