Macroeconomía y medio ambiente: El PIB como medida de bienestar

Este Trabajo de Fin de Grado estudia el uso del Producto Interior Bruto (PIB) como medida de bienestar. Al tiempo que se realiza el análisis de la contabilidad nacional y, en mayor profundidad del PIB, se detallan algunas medidas alternativas. Éstas han surgido como consecuencia de la búsqueda de indicadores que incluyan en sus mediciones, no solo el crecimiento económico, sino también otra serie de variables que son relevantes y que el PIB no contempla (como los recursos naturales, la contaminación, la calidad de vida o la igualdad en la distribución de la renta de un país, por ejemplo). Así, surgen nuevos indicadores como el PIB ambientalmente ajustado, el Índice de Mejor Vida, el Índice de Progreso Genuino o la Huella Ecológica, entre otros. Como resultado de este análisis se concluye que la medida que mejor refleja el bienestar depende del objetivo específico que se busque investigar. En otras palabras, hoy en día ninguna medida es capaz de contestar todas las preguntas relacionadas con el bienestar de la población. Sin embargo, el PIB no está configurado –ni fue creado- como una medida de bienestar de un país. Por lo tanto, actualmente es preciso acompañar la información de este indicador con la de otros alternativos de tal manera que podamos tener una imagen más completa sobre el nivel de bienestar de un país.

More on Identification on Detailed Wage Decompositions

Revised: 2006-05.-- Published as an article in: The Review of Economics and Statistics, 2004, vol. 86, issue 4, pp. 1034-1036.

A Note on Risk Acceptance, Bankruptcy Avoidance and Riskiness Measures

In this work we clarify the relationships between riskiness, risk acceptance and bankruptcy avoidance. We distinguish between the restriction on the current wealth required to make a gamble acceptable to the decision maker and the restriction on the current wealth required to guarantee no bankruptcy if a gamble is accepted. We focus on the measure of riskiness proposed by Foster and Hart.

A detailed investigation of classification methods for vowel speech imagery recognition

Accurate and fast decoding of speech imagery from electroencephalographic (EEG) data could serve as a basis for a new generation of brain computer interfaces (BCIs), more portable and easier to use. However, decoding of speech imagery from EEG is a hard problem due to many factors. In this paper we focus on the analysis of the classification step of speech imagery decoding for a three-class vowel speech imagery recognition problem. We empirically show that different classification subtasks may require different classifiers for accurately decoding and obtain a classification accuracy that improves the best results previously published. We further investigate the relationship between the classifiers and different sets of features selected by the common spatial patterns method. Our results indicate that further improvement on BCIs based on speech imagery could be achieved by carefully selecting an appropriate combination of classifiers for the subtasks involved.

Determinants of self-reported smoking and misclassification during pregnancy, and analysis of optimal cut-off points for urinary cotinine: a cross-sectional study

10 p.

The Costs of Ecosystem Adaptation: Methodology and Estimates for Indian Forests

34 p.

Effectiveness of a Multi-Component Smoking Cessation Support Programme (McSCSP) for Patients with Severe Mental Disorders: Study Design

Only a few studies have examined the efficacy and safety of smoking cessation programmes in patients with mental disorders. The aim of this paper is to describe in detail the methodology used in the study as well as the Multi-component Smoking Cessation Support Programme in terms of pharmacological treatments and psychological interventions. An open-label 9-month follow-up study was conducted in Spain. A total of 82 clinically stable outpatients with schizophrenia, schizoaffective or bipolar disorder were enrolled. Treatment consisted of a programme specifically developed by the research team for individuals with severe mental disorders. The programme consisted of two phases: (1) weekly individual motivational therapy for 4-12 weeks, and (2) a 12-week active treatment phase. During this phase, at each study visit patients received a one- or two-week supply of medication (transdermal nicotine patches, varenicline or bupropion) with instructions on how to take it, in addition to group psychotherapy for smoking cessation. Evaluations were performed: (1) at the time of enrolment in the study, (2) during the 12-week active treatment phase of the study (weekly for the first 4 weeks and then biweekly), and (3) after the end of this phase (two follow-up assessments at weeks 12 and 24). Evaluations included: (1) smoking history, (2) substance use, (3) psychopathology, (4) adverse events, and (5) laboratory tests. The importance of this study lies in addressing a topical issue often ignored by psychiatrists: the unacceptably high rates of tobacco use in patients with severe mental disorders.