The reliability of the REM as a predictor of key economic variables is evaluated 18 to 1 months before the publication of the final data. It is concluded that REM is not a reliable predictor beyond the 6-9 months prior to the month of publication, in general. This period, however, can be...

The importance of the working document is that it allows the analysis of information and cases associated with (SARS-CoV-2) COVID-19, based on the daily information generated by the Government of Mexico through the Secretariat of Health, responsible for the Epidemiological Surveillance System...

This work combines the tools of Radial Basis Function (RBF) and Multivariate Analysis to predict insufficient housing supply in the state of Merida, Venezuela. An alternative indicator to the commonly one used was built in order to evaluate this phenomenon. Data covering the number of families...

This paper offers an exhaustive analysis of the effectiveness of several models and methodologies that are commonly used to forecast financial failure: Linear, MDA, Logit, and artificial neural network. Our main aim is to evaluate their relative strengths and weaknesses, in terms of technical...

The context where the university admissions exams are performed is presented and the main concerns about this exams are outlined and discussed from a statistical point of view. The paper offers an illustration of the use of random coefficient models in the study of educational data. The...

The educational system in Spain is undergoing a reorganization. At present, high-school graduates who want to enroll at a public university must take a set of examinations Pruebas de Aptitud para el Acceso a la Universidad (PAAU). A "new formula" (components, weights, type of exam,...) for...

This work presents an application of the multilevel analysis techniques to the study of the abstention in the 2000 Spanish general election. The interest of the study is both, substantive and methodological. From the substantive point of view the article intends to explain the causes of...

This paper offers an exhaustive analysis of the effectiveness of several models and methodologies that are commonly used to forecast financial failure: Linear, MDA, Logit, and artificial neural network. Our main aim is to evaluate their relative strengths and weaknesses, in terms of technical...

The general objective of the study is to quantify the economic potential of 98 municipalities in the province of Seville in 2007 and 2012 from empirical research based on the application of the Rasch model. This will allow us to design a generic analytical framework or frame of reference for the...

In this article we analyse Twitter users’ perceptions on remote working. To do so, we use artificial intelligence techniques of natural language processing. Specifically, we run a Sentiment Analysis and Latent Dirichlet Allocation (LDA) on a sample of 12,986 tweets related to remote working...