Dynamic Inefficiency in an Overlapping Generation Economy with Pollution and Health Costs

Revised 2008-08.-- Published as an article in: Journal of Public Economic Theory (2008), 10(4), 563-594.

The Comovement between Monetary and Fiscal Policy Instruments during the Post-War Period in the U.S.

This paper empirically studies the dynamic relationship between monetary and fiscal policies by analyzing the comovements between the Fed funds rate and the primary deficit/output ratio. Simple economic thinking establishes that a negative correlation between Fed rate and deficit arises whenever the two policy authorities share a common stabilization objective. However, when budget balancing concerns lead to a drastic deficit reduction the Fed may reduce the Fed rate in order to smooth the impact of fiscal policy, which results in a positive correlation between these two policy instruments. The empirical results show (i) a significant negative comovement between Fed rate and deficit and (ii) that deficit and output gap Granger-cause the Fed funds rate during the post-Volcker era, but the opposite is not true.

Roaming in the Mobile Internet: when coverage sharing agreements call for regulation

Revised: 2006-06

Methodological keys for the acquisition and long-term use of photographic collections representing elements of Heritage

Contributed to: Fusion of Cultures. XXXVIII Annual Conference on Computer Applications and Quantitative Methods in Archaeology – CAA2010 (Granada, Spain, Apr 6-9, 2010)

Introducción: Variedad de temas y de tratamientos sobre la Innovación

[ES] Este artículo de introducción al número especial sobre innovación de la revista Cuadernos de Gestión consta de dos apartados bien diferenciados. En el primero, se recogen algunas ideas que pueden ser útiles para los lectores que se aproximan al tema de la innovación y observan una gran variedad conceptual. En concreto, se ha tratado de explicar de una manera más o menos exhaustiva el concepto de Open Innovation (OI). La OI surge del reconocimiento de que la empresa no puede innovar de manera aislada, y, por lo tanto, necesita siempre adquirir las ideas y los recursos del entorno exterior.

Yves Bonnefoy and Translation into English: when poets, linguists and translators think alike

Santamaría, José Miguel; Pajares, Eterio; Olsen, Vickie; Merino, Raquel; Eguíluz, Federico (eds.)

Problems when generating virtual models representing real objects: Hondarribia walls

[EN] This paper is based in the following project:

La sociedad ante los museos: públicos, usuarios y comunidades locales

Cap. 1. Públicos y museos: entre la democracia cultural y la mercantilización del patrimonio. Iñaki Arrieta Urtizberea. Cap. 2. Quelle place et quels rôles pour l’habitant dans son musée ? Hugues de Varine. Cap. 3. Museos comunitarios. Estrategias creativas para la formación de públicos en barrios patrimoniales. Mauricio Rojas Alcayaga. Cap. 4. Conociendo a todos los públicos: investigación y gestión en el Laboratorio Permanente de Público de Museos. Virginia Garde López. Cap. 5. Quand le visiteur du musée devient un acteur : la nécessaire contribution de l’évaluation. Lucie Daignault. Cap. 6. Evaluación implicativa: hacia una visión generativa y participativa en la gestión de audiencias. Mikel Asensio, Elena Asenjo, Yone Castro y Elena Pol. Cap. 7. Los estudios de visitantes en museos: conocer para gestionar. Cosmocaixa, un ejemplo de buenas prácticas. Antoni Laporte. Cap. 8. Los públicos de proximidad del Museu Blau (Museo de Ciencias Naturales de Barcelona). Lina Ubero Badia y Marta Ponseti Alonso.

Towards Application of One-Class Classification Methods to Medical Data

In the problem of one-class classification (OCC) one of the classes, the target class, has to be distinguished from all other possible objects, considered as nontargets. In many biomedical problems this situation arises, for example, in diagnosis, image based tumor recognition or analysis of electrocardiogram data. In this paper an approach to OCC based on a typicality test is experimentally compared with reference state-of-the-art OCC techniques-Gaussian, mixture of Gaussians, naive Parzen, Parzen, and support vector data description-using biomedical data sets. We evaluate the ability of the procedures using twelve experimental data sets with not necessarily continuous data. As there are few benchmark data sets for one-class classification, all data sets considered in the evaluation have multiple classes. Each class in turn is considered as the target class and the units in the other classes are considered as new units to be classified. The results of the comparison show the good performance of the typicality approach, which is available for high dimensional data; it is worth mentioning that it can be used for any kind of data (continuous, discrete, or nominal), whereas state-of-the-art approaches application is not straightforward when nominal variables are present.

Can environmental constraints determine random patterns of plant species co-occurrence?

Plant community ecologists use the null model approach to infer assembly processes from observed patterns of species co-occurrence. In about a third of published studies, the null hypothesis of random assembly cannot be rejected. When this occurs, plant ecologists interpret that the observed random pattern is not environmentally constrained - but probably generated by stochastic processes. The null model approach (using the C-score and the discrepancy index) was used to test for random assembly under two simulation algorithms. Logistic regression, distance-based redundancy analysis, and constrained ordination were used to test for environmental determinism (species segregation along environmental gradients or turnover and species aggregation). This article introduces an environmentally determined community of alpine hydrophytes that presents itself as randomly assembled. The pathway through which the random pattern arises in this community is suggested to be as follows: Two simultaneous environmental processes, one leading to species aggregation and the other leading to species segregation, concurrently generate the observed pattern, which results to be neither aggregated nor segregated - but random. A simulation study supports this suggestion. Although apparently simple, the null model approach seems to assume that a single ecological factor prevails or that if several factors decisively influence the community, then they all exert their influence in the same direction, generating either aggregation or segregation. As these assumptions are unlikely to hold in most cases and assembly processes cannot be inferred from random patterns, we would like to propose plant ecologists to investigate specifically the ecological processes responsible for observed random patterns, instead of trying to infer processes from patterns