Persona: Matilla García, Mariano
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0000-0002-6007-3522
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Matilla García
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Mariano
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Publicación Banks and financial discrimination: what can be learnt from the spanish experience?(Springer, 2019-04-15) Fernández Olit, Beatriz; Ruza Paz-Curbera, Cristina; Cuesta González, Marta María de la; Matilla García, MarianoThe paper analyses the phenomenon of financial discrimination that have been identified in many developed countries in the aftermath of the financial crisis. We would consider the process of quality worsening in the provision of banking products and services as part of the increasing problem of financial exclusion, which should consider not only the physical access to branches but also the difficulties of use of banking services and products. Our primary concern is focused on the collective of vulnerable customers, so we have carried out an analysis at a micro-scale (urban districts and municipalities) to identify the main determinants of the financial discrimination of territories according to their socioeconomic profile. This study constitutes a first attempt to analyse financial discrimination in the provision of banking products and services at an urban micro-scale. We have considered as good references the cases of Madrid and Barcelona in Spain, large urban territories with high level of social inequality. The methodology that had been applied is quantile regressions, useful technique for analysing the ‘extreme’ nature of the phenomenon of financial discrimination. Our results confirm that the more overloaded branches are settled in districts characterised by a lower socioeconomic profile, indicating a banking industry trend towards ‘low-cost’ retail banking to serve the group of less profitable – more vulnerable customers. Some recommendations are outlined for policymakers in line with the aims and scope of the Payment Accounts Directive of the European Union.Publicación A test for deterministic dynamics in spatial processes(2019-01-19) García-Córdoba, Jose A.; Matilla García, Mariano; Ruiz Marín, ManuelWe propose a statistical procedure to determine if a spatial structure that is observed in the data is generated by a deterministic (even chaotic) spatial process, rather than by a stochastic process. This procedure can be used as a specification test. It is robust against nonlinearity and nonstationarity and can complete the toolbox for testing diagnosis as well. The advantages of the presented methods are high power, simplicity, and ease and ample applicability for tests to be conducted, provided that weak conditions are required. Herein, we conduct several simulations to evaluate the performance of our procedure on well-known spatial processes and in situations where standard tests for spatial autocorrelation fail to detect spatial dependence. Guidelines for using the technique are also provided herein.Publicación Symbolic correlation integral(0747-4938; eISSN: 1532-4168, 2017-09-26) Caballero Pintado, María Victoria; Matilla-García, M; Ruís Marín, Manuel; Matilla García, MarianoThis paper aims to introduce the concept of symbolic correlation integral SC that is extensively used in many scientific fields. The new correlation integral SC avoids the noisy parameter 𝜀 of the classical correlation integral, defined by Grassberger and Procaccia (Citation1983) and extensively used for constructing correlation-integral-based statistics, as in the BDS test. Once the free parameter 𝜀 disappears, it is possible to construct a nonparametric powerful test for independence that can also be used as a diagnostic tool for model selection. The symbolic correlation integral is also extended to deal with multivariate models, and a test for causality is proposed as an example of the theoretical power of the new concept. With extensive Monte Carlo simulations, the paper shows the good size and power performance of symbolic correlation-integral-based tests.