Convergence across countries and regions: theory and empirics

This paper surveys the recent literature on convergence across countries and regions. I discuss the main convergence and divergence mechanisms identified in the literature and develop a simple model that illustrates their implications for income dynamics. I then review the existing empirical evidence and discuss its theoretical implications. Early optimism concerning the ability of a human capital-augmented neoclassical model to explain productivity differences across economies has been questioned on the basis of more recent contributions that make use of panel data techniques and obtain theoretically implausible results. Some recent research in this area tries to reconcile these findings with sensible theoretical models by exploring the role of alternative convergence mechanisms and the possible shortcomings of panel data techniques for convergence analysis.

The demand elasticity on tolled motorways

This paper analyses the elasticities of demand in tolled motorways in Spain with respect to the main variables influencing it. The demand equation is estimated using a panel data set where the cross-section observations correspond to the different Spanish tolled motorways sections, and the temporal dimension ranges from the beginning of the eighties until the end of the nineties. The results show a high elasticity with respect to the economic activity level. The average elasticity with respect to petrol price falls around -0.3, while toll elasticities clearly vary across motorway sections. These motorway sections are classified into four groups according to the estimated toll elasticity with values that range from -0.21 for the most inelastic to -0.83 for the most elastic. The main factors that explain such differences are the quality of the alternative road and the length of the section. The long-term effect is about 50 per cent higher than the short term one; however, the period of adjustment is relatively short.

Knowledge, networks of cities and growth in regional urban systems

The objective of this paper is to measure the impact of different kinds of knowledge and external economies on urban growth in an intraregional context. The main hypothesis is that knowledge leads to growth, and that this knowledge is related to the existence of agglomeration and network externalities in cities. We develop a three-tage methodology: first, we measure the amount and growth of knowledge in cities using the OCDE (2003) classification and employment data; second, we identify the spatial structure of the area of analysis (networks of cities); third, we combine the Glaeser - Henderson - De Lucio models with spatial econometric specifications in order to contrast the existence of spatially static (agglomeration) and spatially dynamic (network) external economies in an urban growth model. Results suggest that higher growth rates are associated to higher levels of technology and knowledge. The growth of the different kinds of knowledge is related to local and spatial factors (agglomeration and network externalities) and each knowledge intensity shows a particular response to these factors. These results have implications for policy design, since we can forecast and intervene on local knowledge development paths.

Investigació integrada amb EPs i RMf de la interacció entre la memòria de treball i la distracció

Estudi elaborat a partir d’una estada a la University of Wales, Bangor, Regne Unit entre setembre i desembre del 2006. Els sons distractors augmenten el temps de reacció i el nombre de respostes incorrectes en una tasca de classificació visual, demostrant que hi ha distracció conductual durant la realització de la tasca visual. L’enregistrament concomitant de potencials evocats durant la distracció mostra un patró neuroelèctric característic, el potencial de distracció, que es caracteritza per una ona trifàsica. Darrerament, s’ha demostrat que factors “des de dalt” associats al muntatge experimental tindrien una gran influència en els efectes que els estímuls distractors tindrien en la tasca. Estudis recents mostrarien que aquesta resposta d’atenció exògena es pot modular per la càrrega en memòria de treball, reduint-ne la distracció amb la càrrega, fet que contradiu altres dades que mostraven l’efecte oposat. L’objectiu d’aquest estudi ha estat investigar en quines condicions la càrrega en memòria de treball pot exercir un efecte modulador en les respostes conductuals i cerebrals als sons novedosos distractors, i establir la dinàmica espacio-temporal d’aquesta modulació.

Democracy and the curse of natural resources

We propose a theoretical model to explain empirical regularities related to the curse of natural resources. This is an explicitly political model which emphasizes the behavior and incentives of politicians. We extend the standard voting model to give voters political control beyond the elections. This gives rise to a new restriction into our political economy model: policies should not give rise to a revolution. Our model clarifies when resource discoveries might lead to revolutions, namely, in countries with weak institutions. Natural resources may be bad for democracy by harming political turnover. Our model also suggests a non-linear dependence of human capital on natural resources. For low levels of democracy human capital depends negatively on natural resources, while for high levels of democracy the dependence is reversed. This theoretical finding is corroborated in both cross section and panel data regressions.

Locations and Relocations:Modelling, Determinants, and Interrelations

Empirical studies on industrial location do not typically distinguish between new and relocated establishments. This paper addresses this shortcoming using data on the frequency of these events in municipalities of the same economic-administrative region. This enables us to test not only for differences in their determinants but also for interrelations between start-ups and relocations. Estimates from count regression models for cross-section and panel data show that, although partial effects differ, common patterns arise in “institutional” and “neoclassical” explanatory factors. Also, start-ups and relocations are positive but asymmetrically related. JEL classification: C25, R30, R10. Keywords: cities, count data models, industrial location

Wealth constraints, skill prices or networks: what determines emigrant selection?

The productive characteristics of migrating individuals, emigrant selection, affect welfare. The empirical estimation of the degree of selection suffers from a lack of complete and nationally representative data. This paper uses a new and better dataset to address both issues: the ENET (Mexican Labor Survey), which identifies emigrants right before they leave and allows a direct comparison to non-migrants. This dataset presents a relevant dichotomy: it shows on average negative selection for Mexican emigrants to the United States for the period 2000-2004 together with positive selection in Mexican emigration out of rural Mexico to the United States in the same period. Three theories that could explain this dichotomy are tested. Whereas higher skill prices in Mexico than in the US are enough to explain negative selection in urban Mexico, its combination with network effects and wealth constraints is required to account for positive selection in rural Mexico.

Rendimiento neuropsicológico y anomalías del cuerpo callosoen adolescentes con antecedentes de prematuridad

Existe una clara relación entre prematuridad y un bajo rendimiento cognitivo y escolar. Sin embargo, los efectos concretos del nacimiento prematuro sobre el funcionamiento cognitivo así como sobre el desarrollo cerebral a largo plazo son poco conocidos. Objetivos: Identificar las disfunciones cognitivas concretas en adolescentes que nacieron prematuros mediante una evaluación neuropsicológica exhaustiva, y relacionar los datos cognitivos con la posible afectación del cuerpo calloso. Metodología y Resultados: se comparó dos muestras de sujetos prematuros y sujetos nacidos a término. Se evaluó el rendimiento cognitivo general y específico, y se cuantificó la estructura cerebral del cuerpo calloso. Se realizaron varios análisis estadísticos y se redactaron diversos artículos presentando los resultados obtenidos. Resultados: adolescentes con antecedentes de prematuridad: a) presentan dificultades cognitivas y anormalidades estructurales, más relacionadas con la edad gestacional que con el peso al nacer; b) tienen déficits cognitivos específicos que pueden explicarse parcialmente por sus disfunciones en el rendimiento cognitivo general; c) la media de sus puntuaciones en el CI se sitúa en el rango normal; d) los subtests de las escalas Wechsler no presentan el mismo grado de sensibilidad; e) presentan una reducción de tamaño del cuerpo calloso, f) más acusada en el genu, posterior midbody y splenium; g) existe una asociación específica entre el genu y el menor rendimiento en funciones del lóbulo prefrontal; h) la edad gestacional presenta una clara relación con las anormalidades del cuerpo calloso y con el bajo rendimiento cognitivo general.

Multi-scale support vector algorithms for hot spot detection and modelling

The algorithmic approach to data modelling has developed rapidly these last years, in particular methods based on data mining and machine learning have been used in a growing number of applications. These methods follow a data-driven methodology, aiming at providing the best possible generalization and predictive abilities instead of concentrating on the properties of the data model. One of the most successful groups of such methods is known as Support Vector algorithms. Following the fruitful developments in applying Support Vector algorithms to spatial data, this paper introduces a new extension of the traditional support vector regression (SVR) algorithm. This extension allows for the simultaneous modelling of environmental data at several spatial scales. The joint influence of environmental processes presenting different patterns at different scales is here learned automatically from data, providing the optimum mixture of short and large-scale models. The method is adaptive to the spatial scale of the data. With this advantage, it can provide efficient means to model local anomalies that may typically arise in situations at an early phase of an environmental emergency. However, the proposed approach still requires some prior knowledge on the possible existence of such short-scale patterns. This is a possible limitation of the method for its implementation in early warning systems. The purpose of this paper is to present the multi-scale SVR model and to illustrate its use with an application to the mapping of Cs137 activity given the measurements taken in the region of Briansk following the Chernobyl accident.

HCV infection after liver transplantation is associated with lower levels of alloreactive CD4+CD25+CD45RO+IL-7R+high+ T cells

Aim: Expression of IL-7R discriminates alloreactive CD4 T cells (Foxp3 negative), from IL-7Rlow regulatory CD4 T cells (Foxp3 positive). Chronic hepatitis C virus infection (HCV) reduces expression of IL-7R on T cells thus promoting persistence of infection. The aim of this study was to analyze the effect of HCV infection on the expression of IL-7R of activated CD4+ T cells in liver transplant patients. Patients and methods: We analyzed PBMC from liver transplant recipients for the expression of CD4, CD25, FoxP3, IL-7R (24 HCV negative and 29 HCV-chronically infected). We compared these data with non-transplanted individuals (52 HCV-chronically infected patients and 38 healthy donors). Results: In HCV-infected liver transplant recipients, levels of CD4+CD25+CD45RO+IL-7R+ T cells were significantly reduced (10.5+/-0.9%) when compared to non-HCV-infected liver transplant recipients (17.6+/-1.4%) (P<0.001), while both groups (HCV-infected and negative transplant recipients) had significantly higher levels than healthy individuals (6.6+/-0.9%) (P<0.0001). After successful antiviral therapy (sustained antiviral response), 6 HCV-infected transplant recipients showed an increase of CD4+CD25+CD45RO+IL-7R+ T cells, reaching levels similar to that of non-HCVinfected recipients (10.73+/-2.63% prior therapy versus 21.7+/-6.3% after clearance of HCV). (P<0.05) In 4 non-responders (i.e. HCVRNA remaining present in serum), levels of CD4+CD25+CD45RO+IL-7R+ T cells remained unmodified during and after antiviral treatment (11.8+/- 3.3% versus 11.3+/-3.3% respectively). Conclusions: Overall, these data indicate that CD4+CD25+CD45RO+IL-7R+ T cells appear to be modulated by chronic HCV infection after liver transplantation. Whether lower levels of alloreactive T cells in HCV-infected liver transplant recipients are associated with a tolerogenic profile remains to be studied.

The causal relationship between Individual’s choice behavior and self-reported satisfaction: the case of residential mobility in the EU

One of the most persistent and lasting debates in economic research refers to whether the answers to subjective questions can be used to explain individuals’ economic behavior. Using panel data for twelve EU countries, in the present study we analyze the causal relationship between self-reported housing satisfaction and residential mobility. Our results indicate that: i) households unsatisfied with their current housing situation are more likely to move; ii) housing satisfaction raises after a move, and; iii) housing satisfaction increases with the transition from being a renter to becoming a homeowner. Some interesting cross-country differences are observed. Our findings provide evidence in favor of use of subjective indicators of satisfaction with certain life domains in the analysis of individuals’ economic conduct.

Acetylcholinesterase inhibitor treatment for myasthenia gravis.

BACKGROUND: In myasthenia gravis, antibody-mediated blockade of acetylcholine receptors at the neuromuscular junction abolishes the naturally occurring 'safety factor' of synaptic transmission. Acetylcholinesterase inhibitors provide temporary symptomatic treatment of muscle weakness but there is controversy about their long-term efficacy, dosage and side effects. This is the second update of a review published in The Cochrane Library Issue 2, 2011. OBJECTIVES: To evaluate the efficacy of acetylcholinesterase inhibitors in all forms of myasthenia gravis. SEARCH METHODS: On 8 July 2014 we searched the Cochrane Neuromuscular Disease Group Specialized Register, CENTRAL, MEDLINE and EMBASE for randomised controlled trials and quasi-randomised controlled trials regarding usage of acetylcholinesterase inhibitors in myasthenia gravis. Two authors scanned the articles for any study eligible for inclusion. We also contacted the authors and known experts in the field to identify additional published or unpublished data and searched clinical trials registries for ongoing trials. SELECTION CRITERIA: The types of studies were randomised or quasi-randomised trials. Participants were myasthenia gravis patients diagnosed by an internationally accepted definition. The intervention was treatment with any form of acetylcholinesterase inhibitor. Types of outcome measures Primary outcome measureImprovement in the presenting symptoms within one to 14 days of the start of treatment. Secondary outcome measures(1) Improvement in the presenting symptoms more than 14 days after the start of treatment.(2) Change in impairment measured by a recognised and preferably validated scale, such as the quantitative myasthenia gravis score, within one to 14 days and more than 14 days after the start of treatment.(3) Myasthenia Gravis Association of America post-intervention status more than 14 days after start of treatment.(4) Adverse events including muscarinic side effects. DATA COLLECTION AND ANALYSIS: One author (MMM) extracted the data, which were checked by a second author. We contacted study authors for extra information and collected data on adverse effects from the trials. MAIN RESULTS: We did not find any large randomised or quasi-randomised trials of acetylcholinesterase inhibitors in generalised myasthenia gravis either for the first version of this review or this update. One cross-over randomised trial using intranasal neostigmine in a total of 10 participants was only available as an abstract. It included three participants with ocular myasthenia gravis and seven with generalised myasthenia gravis. Symptoms of myasthenia gravis (measured as improvement in at least one muscle function) improved in nine of the 10 participants after the two-week neostigmine treatment phase. No participant improved after the placebo phase. Lack of detail in the report meant that the risk of bias was unclear. Adverse events were minor. AUTHORS' CONCLUSIONS: Except for one small and inconclusive trial of intranasal neostigmine, no other randomised controlled trials have been conducted on the use of acetylcholinesterase inhibitors in myasthenia gravis. The response to acetylcholinesterase inhibitors in observational studies is so clear that a randomised controlled trial depriving participants in a placebo arm of treatment would be difficult to justify.

Distributional and Poverty Consequences of Globalization: A Dynamic Comparative Analysis for Developing Countries

This study examines the impact of globalization on cross-country inequality and poverty using a panel data set for 65 developing counties, over the period 1970-2008. With separate modelling for poverty and inequality, explicit control for financial intermediation, and comparative analysis for developing countries, the study attempts to provide a deeper understanding of cross country variations in income inequality and poverty. The major findings of the study are five fold. First, a non-monotonic relationship between income distribution and the level of economic development holds in all samples of countries. Second, both openness to trade and FDI do not have a favourable effect on income distribution in developing countries. Third, high financial liberalization exerts a negative and significant influence on income distribution in developing countries. Fourth, inflation seems to distort income distribution in all sets of countries. Finally, the government emerges as a major player in impacting income distribution in developing countries.

Estimation of the Spatial Weights Matrix under Structural Constraints

While estimates of models with spatial interaction are very sensitive to the choice of spatial weights, considerable uncertainty surrounds de nition of spatial weights in most studies with cross-section dependence. We show that, in the spatial error model the spatial weights matrix is only partially identi ed, and is fully identifi ed under the structural constraint of symmetry. For the spatial error model, we propose a new methodology for estimation of spatial weights under the assumption of symmetric spatial weights, with extensions to other important spatial models. The methodology is applied to regional housing markets in the UK, providing an estimated spatial weights matrix that generates several new hypotheses about the economic and socio-cultural drivers of spatial di¤usion in housing demand.

What drives urban consumption in mainland china? The role of property price dynamics

This paper adds to the literature on wealth effects on consumption by disentangling house price effects on consumption for mainland China. In a stochastic modelling framework, the riskiness, rate of increase and persistence of house price movements have different implications for the consumption/housing ratio. We exploit the geographical variation in property prices by using a quarterly city-level panel dataset for the period 1998Q1 – 2009Q4 and rely on a panel error correction model. Overall, the results suggest a significant long run impact of property prices on consumption. They also broadly confirm the predictions from the theoretical model.