Seminario 22/02 Javier Palarea-Albaladejo (U. Girona) – Advances in compositional data analysis with some recent scientific applications


Multivariate observations referring to parts of a whole, so-called compositions or compositional data in statistics, are common across varied scientific fields. This is for example the case when dealing with chemical concentrations, food nutritional contents, election vote shares, investment portfolios, time-use and behavioural patterns, relative abundances, amongst others. Their distinctive feature is that there is…

Seminario 22/1: Manuel Serrano (Bocconi University, Italia). The effect of Long-Term Care (LTC) benefits on healthcare use


Abstract:  This paper examines the role of LTC benefits on the use of primary and secondary care by exploring a detailed administrative database in Spain. We estimate the causal effect of receiving LTC benefits by exploiting exogenous variation in the leniency of the examiners who assess the claimants’ LTC needs. We find that a monthly LTC…

Seminario 21/24: Andrea Lluch (CONICET – Argentina). The Origins and Evolution of Management Education and Training in Argentina, 1940s–1960s


As recent studies have shown, the way that managers are educated and selected to top management positions is a complex phenomenon with variations both over time and in different national contexts. New findings show that the transference of American ideas for management education was not linear, that the post-war international scene was not a tabula…

Seminario 21/23: Josep Bernabeu (Universidad de Alicante). Cambios epidemiológicos y dinámicas de salud en perspectiva histórica: el modelo explicativo de las transiciones sanitarias

Seminario Historia

El descenso de la mortalidad se convirtió en uno de los elementos clave que hizo posible el proceso de modernización demográfica que experimentaron las poblaciones europeo- occidentales. El debate sobre las causas que estuvieron detrás del mismo se ha convertido en una de las cuestiones historiográficas que más polémica ha suscitado en las últimas décadas….

Seminario 21/22: Francisco Morillas (Universidad de Valencia): Un estudio de costes para el cambio de tecnología en el diagnóstico y tratamiento de enfermedades gastrointestinales


Este trabajo trata de determinar la conveniencia en el cambio de tecnología para la determinación de una enfermedad gastrointestinal. La determinación de la bacteria o virus que ataca al organismo puede ser determinante en las primeras horas, evitando posibles infecciones graves e incluso sepsis. Los dos procedimientos comparados son: (i) técnicas de cultivo estándar, utilizado…

Seminario 21/21: Gabriel Brida (Universidad de la República. Uruguay). Compositional data analysis to model tourist expenditure by categories


This study models the relative expenditure of tourists in terms of budget allocation as a function of a set of co-variables. The purpose is to model how the tourist distributes its budget among the different items, what are the characteristics of the tourist that infer a certain relative spending pattern and if this pattern has…

Seminario 21/20: Antonio Manuel Durán (Universidad de Córdoba): Time series data mining and its applications in real-world problems

Time series

Currently, information systems such as sensors produce a large amount of data, which is expected to experience exponential growth in the coming years. These data are often treated as time series, which are chronologically collected data representing a time-varying function. Time series appear in a wide range of scientific fields, such as hydrology, paleoclimatology or…

Seminario 21/19: Maria Chiara Pagliarella (INAPP of Rome and University of Cassino and Southern Lazio): Areal sampling strategies for estimating totals and averages on a grid of quadrats: applications to forest surveys


The Reduction of Emissions from Deforestation and forest Degradation (REDD) project was proposed and initiated in 2005. Monitoring of forest cover by statistical methodologies is a key pre-requisite. Forest cover is usually estimated at large scale by spatial sampling strategies, in which the study region is partitioned into polygons of equal size (e.g. quadrats). Then,…

Seminario 21/18: Maria Chiara Pagliarella (INAPP of Rome and University of Cassino and Southern Lazio): Small area estimation of poverty indicators under partitioned area-level time models


This paper deals with small area estimation of poverty indicators. Small area estimators of these quantities are derived from partitioned time-dependent area-level linear mixed models. The introduced models are useful for modelling the different behaviour of the target variable by sex or any other dichotomic characteristic. The mean squared errors are estimated by explicit formulas….

Seminario 21/17: Luis Orea (Universidad de Oviedo): Estimating a stochastic epidemic frontier model that controls for undocumented COVID-19 cases with an application to Spain


We use a stochastic frontier analysis (SFA) approach to model the propagation of the COVID-19 epidemic across geographical areas. The proposed models permit reported and undocumented cases to be estimated, which is important as case counts are overwhelmingly believed to be undercounted. The models can be estimated using only epidemic-type data but are flexible enough…