2,526 research outputs found

    Improved asymptotic analysis of Gaussian QML estimators in spatial models

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    This paper presents a fundamentally improved statement on asymptotic behaviour of the well-known Gaussian QML estimator of parameters in high-order mixed regressive/autoregressive spatial model. We generalize the approach previously known in the econometric literature by considerably weakening assumptions on the spatial weight matrix, distribution of the residuals and the parameter space for the spatial autoregressive parameter. As an example application of our new asymptotic analysis we also give a statement on the large sample behaviour of a general fi xed effects design

    An Empirical Study Of Productivity Growth In EU28 - Spatial Panel Analysis

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    This paper investigates the spatial process of productivity growth in the European Union on the foundations of the theory of New Economic Geography. The proposed model is based on the study of NUTS 2 regions and takes into consideration a spatial weights matrix in order to better describe the structure of spatial dependence between EU regions. Furthermore, our paper attempts to investigate the applicability of some new approaches to spatial modelling including parameterization of the spatial weights matrix. Our study presents an application of the spatial panel model with fixed effects to Fingleton’s theoretical framework. We suggest that the applied approach constitutes an innovation to spatial econometric studies providing additional information hence, a deeper analysis of the investigated problem

    Constituent Gluon Content of the Static Quark-Antiquark State in Coulomb Gauge

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    Motivated by the gluon-chain model of flux tube formation, we compute and diagonalize the transfer matrix in lattice SU(2) gauge theory for states containing heavy static quark-antiquark sources, with separations up to one fermi. The elements of the transfer matrix are calculated by variational Monte Carlo methods, in a basis of states obtained by acting on the vacuum state with zero, one, and two-gluon operators in Coulomb gauge. The color Coulomb potential is obtained from the zero gluon to zero gluon element of the transfer matrix, and it is well-known that while this potential is asymptotically linear, it has a slope which is two to three times larger than the standard asymptotic string tension. We show that the addition of one and two gluon states results in a potential which is still linear, but the disagreement with the standard asymptotic string tension is reduced to 38% at the largest lattice coupling we have studied

    Regional effectiveness of innovation – leaders and followers of the EU NUTS 0 and NUTS 2 regions

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    Innovation constitutes an important factor for growth in all EU countries. Regions of the EU play a principle role in shaping new innovation trajectories and in bringing out the hidden potential for national growth. However, it is not only the level of innovation that diversifies regions, but also the innovative potential and the level of its realization. Therefore, the aim of this paper is to assess the realization of innovative potential, defined as effectiveness, in EU NUTS 0 and, if possible, NUTS 2 regions. To accomplish this goal a relative effectiveness method in used. The DEA (Data Envelopment Analysis) makes it possible to analyse the relative technical effectiveness based on regional inputs and outputs, without incorporating the legal and technological specifications of innovations, thus treating it like a production process. The inputs of the process are employment in technology and knowledge-intensive sectors and R&D expenditure, while the outputs include the number of patents and GDP. All variables are standardized by the size of the economically active population. DEA results divide regions in to two groups – effective, being the leaders; and ineffective, or followers. The DEA approach was combined and extended by ESDA (Exploratory Spatial Data Analysis) in order to pinpoint spatial patterns of innovation efficiency across NUTS 2 regions. Defining the best practices and implementing the learning-from-the-best policy is important in the process of regional development and specialization
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