21 resultados para Auctions Econometrics


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With the reformation of spectrum policy and the development of cognitive radio, secondary users will be allowed to access spectrums licensed to primary users. Spectrum auctions can facilitate this secondary spectrum access in a market-driven way. To design an efficient auction framework, we first study the supply and demand pressures and the competitive equilibrium of the secondary spectrum market, considering the spectrum reusability. In well-designed auctions, competition among participants should lead to the competitive equilibrium according to the traditional economic point of view. Then, a discriminatory price spectrum double auction framework is proposed for this market. In this framework, rational participants compete with each other by using bidding prices, and their profits are guaranteed to be non-negative. A near-optimal heuristic algorithm is also proposed to solve the auction clearing problem of the proposed framework efficiently. Experimental results verify the efficiency of the proposed auction clearing algorithm and demonstrate that competition among secondary users and primary users can lead to the competitive equilibrium during auction iterations using the proposed auction framework. Copyright © 2011 John Wiley & Sons, Ltd.

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Making sense of auction sales, in terms of English contract law, is no easy task. Despite the common perception of hammers hitting blocks, signifying the creation of the basic sale contract,1 a typical auction sale necessarily involves the making of several forms of contract other than the obvious primary sale agreement. The purpose of this article, therefore, is threefold, namely, to (1) examine these various forms of contractual relationship2 which may come into existence as a result of a traditional (face to face) auction sale; (2) consider specifically the selling of land at public auction with a view to advocating a change in the law requiring the formality of writing for sales contracts of land for both private and public auctions, and (3) compare briefly the contractual elements of an online ascending model of auction sale typified by the eBay phenomenon.

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Understanding the process of economic growth has been called the ultimate objective of economics. It has also been likened to an elusive quest – like the Holy Grail or the Elixir of Life (Easterly 2001). Taking on such a quest requires ingenuity and perseverance. Even small insights along the way can have major benefits to millions of people; small mistakes can do the reverse. Economies which achieve large increases in output over extended periods of time, not only enable rapid increases in standards of living, but also have dramatic changes in the economic, political and social landscape. For example, the USA is estimated to produce approximately 30 times as much in 1999 as it did in 1899. This sustained economic growth means that in 1999 the USA had an average income per capita of US$34 100. In contrast, sub-Saharan Africa had an average income of $490. Understanding these vast income differences, produced over many decades, is the elusive quest. The aim of this survey is to explain how economists try to understand the process of economic growth. To make the task manageable, the focus is on major issues and current debates. Models and conceptual frameworks are discussed in section III. Section IV summarises empirical studies, with a particular focus on econometric studies of groups of countries. This is not to say that case studies of single countries are not valuable, but space precludes covering everything. The following section sets out some facts about economic growth and, hopefully, motivates the further effort needed to tackle the theory and econometrics.

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In this paper we present increased adaptivity and robustness in distributed object tracking by multi-camera networks using a socio-economic mechanism for learning the vision graph. To build-up the vision graph autonomously within a distributed smart-camera network, we use an ant-colony inspired mechanism, which exchanges responsibility for tracking objects using Vickrey auctions. Employing the learnt vision graph allows the system to optimise its communication continuously. Since distributed smart camera networks are prone to uncertainties in individual cameras, such as failures or changes in extrinsic parameters, the vision graph should be sufficiently robust and adaptable during runtime to enable seamless tracking and optimised communication. To better reflect real smart-camera platforms and networks, we consider that communication and handover are not instantaneous, and that cameras may be added, removed or their properties changed during runtime. Using our dynamic socio-economic approach, the network is able to continue tracking objects well, despite all these uncertainties, and in some cases even with improved performance. This demonstrates the adaptivity and robustness of our approach.

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Cravo T. A., Becker B. and Gourlay A. Regional growth and SMEs in Brazil: a spatial panel approach, Regional Studies. This paper examines economic growth for a panel of 508 Brazilian micro-regions for the period 1980-2004, using spatial econometrics and paying particular attention to the importance of small and medium-sized enterprises (SMEs). The findings indicate the presence of spatial dependence in the process of economic growth and the existence of two spatial regimes in Brazil. The human capital level of the whole population is an important growth determinant, but does not generate positive spillovers. Furthermore, human capital embodied in SMEs is more important than the size of this sector for regional growth and SME activity generates positive spatial spillovers. © 2014 © 2014 Regional Studies Association.