Abstract: In some situations, theoreticians recommend a given predictive model for a series of financial time. However, some inappropriate behaviors in given series make such a model unsuitable. One of the reasons for this can be the non-linearity of those behaviors. A proposed model to treat these series is the TAR model (threshold autoregressive). TAR models are determined by a variable called threshold for which it mainly results to be a temporal nonlinear model. A TAR model expresses itself as a temporal series, with a lagged as a threshold variable, where d is an entire positive called retard threshold. In practice, the threshold variable is unknown, due to which an important question is how to determine it; an answer to this question is given in this paper. TAR models are illustrated by modeling Spain\\\\\\\\\\\\\\\'s Gross Domestic Product.
The dropout rate among Spanish university students is very high compared to the European mean, creating a pressing need for the introduction of policies and programmes aimed at increasing rates of persistence.
Propuesta metodologica para la desagregación espacio-temporal de los indicadores de demografía empresarial
A review of regional science applications of satellite remote sensing in urban settings
Python library with spatially constrained clustering algorithms
Interactive tool for visualizing the interindustry dynamics in Colombian economy.
Interactive tool for visualizing the spatial distribution of economic impacts in Colombian metropolitan areas.
RiSE-group was invited to the workshop "The Role of Cities In Creating Improved Economic Opportunities" in the UN-Habitat Governing Council... here are some pictures of the event, Link
The student of the Master in Economics from the University EAFIT, Oswaldo Zapata, was one of the awarded students by the Government of Antioquia
The thesis of economics student, Miguel Norena, has been published in the book Defining the Regional Spatial Scale in Modern Analysis.