Tax reforms and inequality: theoretical and empirical implications

In this paper we examine the effect of tax policy on the relationship between inequality and growth in a two-sector non-scale model. With non-scale models, the longrun equilibrium growth rate is determined by technological parameters and it is independent of macroeconomic policy instruments. However, this fact does not imply that fiscal policy is unimportant for long-run economic performance. It indeed has important effects on the different levels of key economic variables such as per capita stock of capital and output. Hence, although the economy grows at the same rate across steady states, the bases for economic growth may be different.The model has three essential features. First, we explicitly model skill accumulation, second, we introduce government finance into the production function, and we introduce an income tax to mirror the fiscal events of the 1980¿s and 1990¿s in the US. The fact that the non-scale model is associated with higher order dynamics enables it to replicate the distinctly non-linear nature of inequality in the US with relative ease. The results derived in this paper attract attention to the fact that the non-scale growth model does not only fit the US data well for the long-run (Jones, 1995b) but also that it possesses unique abilities in explaining short term fluctuations of the economy. It is shown that during transition the response of the relative simulated wage to changes in the tax code is rather non-monotonic, quite in accordance to the US inequality pattern in the 1980¿s and early 1990¿s.More specifically, we have analyzed in detail the dynamics following the simulation of an isolated tax decrease and an isolated tax increase. So, after a tax decrease the skill premium follows a lower trajectory than the one it would follow without a tax decrease. Hence we are able to reduce inequality for several periods after the fiscal shock. On the contrary, following a tax increase, the evolution of the skill premium remains above the trajectory carried on by the skill premium under a situation with no tax increase. Consequently, a tax increase would imply a higher level of inequality in the economy

Decomposing Cross-Country Gaps in Obesity and Overweight: Does the Social Environment Matter?

[cat] Una qüestió clau sobre la producció de salut relativament poc explorada es refereix a la influència dels factors socioeconòmics i mediambientals sobre el pes i l’obesitat. Aquesta problemàtica adquireix particular rellevància quan es comparen dos països Mediterranis com Itàlia i Espanya. És interessant adonar-se que l’obesitat a Espanya és 5 punts percentual més elevada al 2003 mentre que a l’any 1990 era aproximadament la mateixa en ambdós països. Aquesta article presenta una descomposició no lineal dels gaps o diferencials en taxes de sobrepès (índex de massa corporal – IMC- entre 25 i 29.9 9 kg/m2), obesitat classe 1 (IMC≥30 kg/m2) i classe 2 (IMC≥35 kg/m2) entre Espanya i Itàlia per gènere i grups d’edat. En explicar aquests gaps entre països aïllem les influències dels estils de vida, els efectes socioeconòmics i els mediambientals. Els nostres resultats indiquen que quan no es controla pels efectes mediambientals (efectes de grup o ‘peer effects’) els hàbits alimentaris i el nivell educatiu són els principals predictors del gaps totals entre països (36-52%), si bé aquests dos factors exerceixen un impacte diferenciat segons gènere i edat. Un tant paradoxalment, quan controlem pels efectes de grup aquests predictors perden la seva capacitat explicativa i els efectes de grup passen a explicar entre el 46-76% dels gaps en sobrepès i obesitat i mostren un patró creixent amb l’edat.

Heterogeneity, selection and labor market disparities

We study the incentives to acquire skill in a model where heterogeneous firmsand workers interact in a labor market characterized by matching frictions and costlyscreening. When effort in acquiring skill raises both the mean and the variance of theresulting ability distribution, multiple equilibria may arise. In the high-effort equilibrium, heterogeneity in ability is sufficiently large to induce firms to select the bestworkers, thereby confirming the belief that effort is important for finding good jobs.In the low-effort equilibrium, ability is not sufficiently dispersed to justify screening,thereby confirming the belief that effort is not so important. The model has implications for wage inequality, the distribution of firm characteristics, sorting patternsbetween firms and workers, and unemployment rates that can help explaining observedcross-country variation in socio-economic and labor market outcomes.

How the West "invented" fertility restriction

We analyze the rise of the first socio-economic institution in history that limited fertility ? long before theDemographic Transition. The "European Marriage Pattern" (EMP) raised the marriage age of women andensured that many remained celibate, thereby reducing childbirths by up to one third between the 14thand 18th century. To explain the rise of EMP we build a two-sector model of agricultural production ?grain and livestock. Women have a comparative advantage in the latter because plow agriculture requiresphysical strength. After the Black Death in 1348-50, land abundance triggered a shift towards the landintensivepastoral sector, improving female employment prospects. Because women working in animalhusbandry had to remain unmarried, more farm service spelled later marriages. The resulting reductionin fertility led to a new Malthusian steady state with lower population pressure and higher wages. Themodel can thus help to explain the divergence in income per capita between Europe and Asia long beforethe Industrial Revolution. Using detailed data from England after 1290, we provide strong evidence forour mechanism. Where pastoral agriculture dominated, more women worked as servants, and marriageoccurred markedly later. Overall, we estimate that pastoral farming raised female ages at first marriage bymore than 4 years.

Disentangling the link between health and social capital: A comparison of immigrant and native-born populations in Spain

An increasing body of research has pointed to the relevance of social capital in studying a great variety of socio-economic phenomena, ranging from economics growth and development to educational attainment and public health. Conceptually, our paper is framed within the debates about the possible links between health and social capital, on one hand, and within the hypotheses regarding the importance of social and community networks in all stages of the dynamics of international migration, on the other hand. Our primary objective is to explore the ways social relations contribute to health differences between the immigrants and the native-born population of Spain. We also try to reveal differences in the nature of the social networks of foreign-born, as compared to that of the native-born persons. The empirical analysis is based on an individual-level data coming from the 2006 Spanish Health Survey, which contains a representative sample of the immigrant population. To assess the relationship between various health indicators (self-assessed health, chronic conditions and long-term illness) and social capital, controlling for other covariates, we estimate multilevel models separately for the two population groups of interest. In the estimates we distinguish between individual and community-level social capital. While the Health Survey contains information that allows us to define individual social capital measures, the collective indicators come from other official sources. In particular, for the subsample of immigrants, we proxy community-level networks and relationships by variables contained in the Spanish National Survey of Immigrants 2007. The results obtained so far point to the relevance of social capital as a covariate in the health equation, although, the significance varies according to the specific health indicator used. Additionally, and contrary to what is expected, immigrants’ social networks seem to be inferior to those of the native-born population in many aspects; and they also affect immigrant’s health to a lesser extent. Policy implications of the findings are discussed. Keywords: health status, social capital, immigration, Spain

Estudi de les aigües salines a la conca del riu Llobregat i Cardener : implicacions ambientals

L’increment de la salinitat a les aigües subterrànies a prop de la zones de les explotacions mineres salines representa un problema ambiental amb moltes implicacions socio-econòmiques. La part mitja de la conca del riu Llobregat i Cardener és un clar exemple d’aquesta problemàtica. En molts casos l’origen de la salinitat és dubtós, ja que pot provenir del contacte de l’aigua de l’aqüífer amb formacions geològiques salines naturals o per l’afectació de les escombreres produïdes per l’explotació minera de potasses que es troba en aquesta regió. L’objectiu d’aquest treball és demostrar que el Ra pot ser un bon traçador per determinar l’origen de la salinitat de les aigües i complementar les analítiques químiques elementals i dels isòtops del sofre i de l’oxigen del sulfat (δ34SSO4 i δ18OSO4). La presència dels diversos isòtops del Ra en les aigües subterrànies dependrà de la geologia i del temps de residència de l’aigua dins l’aqüífer. L’anàlisi de 12 mostres de la comarca indica que el 226Ra és el millor dels isòtops del Ra que permet diferenciar l’origen de les aigües subterrànies.

Exercici terapèutic cognitiu en lesions cerebrals

Estudi experimental basat amb el mètode Perfetti realitzat per avaluar l’eficàcia i l’eficiència del tractament envers a les diferents afectacions cerebrals que pot tenir un pacient quan ha patit un AVC (Accident Vascular Cerebral). Farem un estudi quantitatiu, tenint en compte unes variables específiques que ens indicaran d’una forma molt més acurada l’evolució del pacient des de l’ inici fins a la fi del tractament. Hem de tenir en compte que al ser un estudi experimental ens podem trobar amb certes limitacions, implícites com trobar la idoneïtat de la mostra de pacients o que totes les afectacions cerebrals d’estudi siguin compatibles. Sempre tindrem en compte que no es seguirà un protocol sinó que és un tractament individualitzat i totalment personalitzat. La població en el nostre país cada cop envelleix més, per això millorar la qualitat de vida és imprescindible. El que volem és intentar que el pacient millori la seva qualitat de vida minvant la seva dependència i/o discapacitat, després de l’AVC. En conseqüència i ja que l’actual situació socioeconòmica no és favorable podrem afavorir la reducció de l’actual despesa sanitària,en aquest tipus de patologies en el nostre país.

Estratègies educatives a través de l'expressió corporal per a la inclusió de l'alumnat amb risc d'exclusió social

Aquest document ens explica com afecta la crisi socioeconòmica del nostre país als infants que es troben en situació de risc social. En concret, la recerca es va centrar en una escola pública de Torelló on hi ha un predomini d’infants immigrants. La majoria d’aquests infants es troben en una situació precària i, a més, tenen dificultats per entendre la llengua del centre i per comunicar-se amb la mestra tutora de l’aula. Per concloure l’estudi es va elaborar un pla d’acció on es mostra que si es porten a terme estratègies educatives inclusives, com pot ser l’expressió corporal, dins l’aula ordinària els infants amb major risc social poden aprendre més amb la interacció.

On Automatic Diagnosis of Alzheimer's Disease based on Spontaneous Speech Analysis and Emotional Temperature

Alzheimer's disease is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. Therefore it is one of the most active research areas today. Alzheimer's is sometimes diagnosed by excluding other dementias, and definitive confirmation is only obtained through a post-mortem study of the brain tissue of the patient. The work presented here is part of a larger study that aims to identify novel technologies and biomarkers for early Alzheimer's disease detection, and it focuses on evaluating the suitability of a new approach for early diagnosis of Alzheimer’s disease by non-invasive methods. The purpose is to examine, in a pilot study, the potential of applying Machine Learning algorithms to speech features obtained from suspected Alzheimer sufferers in order help diagnose this disease and determine its degree of severity. Two human capabilities relevant in communication have been analyzed for feature selection: Spontaneous Speech and Emotional Response. The experimental results obtained were very satisfactory and promising for the early diagnosis and classification of Alzheimer’s disease patients.

Alzheimer disease diagnosis based on automatic spontaneous speech analysis

Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries, therefore is one of the most active research areas today. Its diagnosis is sometimes made by excluding other dementias, and definitive confirmation must be done trough a post-mortem study of the brain tissue of the patient. The purpose of this paper is to contribute to im-provement of early diagnosis of AD and its degree of severity, from an automatic analysis performed by non-invasive intelligent methods. The methods selected in this case are Automatic Spontaneous Speech Analysis (ASSA) and Emotional Temperature (ET), that have the great advantage of being non invasive, low cost and without any side effects.