In this Master Thesis, we implement in the Spanish electricity market the X-Model proposed by Ziel and Steinert (2016), combining the insights of market structure models with econometric techniques. Instead of directly ...

The main goal of the present Master Thesis is to analyze the Spanish elec- tricity day-ahead market from the design perspective, which like most European countries follows a uniform auction. Indeed, the price is set by the ...

In this study, we estimate the tourism demand elasticities model by income and prices in the Dominican Republic from the top ten leading countries in tourism, from the first quarter of 2001 to the last quarter of 2021. The ...

The aim of this Master’s thesis is to analyze households’ healthcare deprivation and its determinants in Spain for the years 2014, 2017 and 2020. The analysis is divided in two main sections; the first one aims to determine ...

The relation between electricity and natural gas prices got increased attention recently, after their joint rise in many European countries. The present Master Thesis explains the theoretical relation between both markets ...

The energy transition is at the heart of the current energy debate and its social dimension is becoming more relevant in the latest policy developments. This Master Thesis aims to develop the research on one of the ...

In this master’s thesis we study the effect on the risk of intimate partner violence (IPV) for women of the emplyoment status of herself, her partner and income to- gether with a set of exogenous sociodemographic factors. ...

In recent business cycles, U.S. inflation has experienced a reduction in inflation volatility, inflation persistence and, a severe weakening of the correlation with nominal interest (Gibson's paradox). This project concludes ...

The purpose of this thesis is to explore the question of whether there exists any difference in the use of the Spanish healthcare services between privately and publicly insured individuals. The analysis is carried out ...

This thesis investigates the gender pay gap in Spain using Machine Learning (ML) techniques to provide insights and predictive models to understand and address this persistent problem. This study uses a large dataset that ...