3 resultados para Mobile networks

em Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom


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The Scottish National Party led Scottish Government has identified household poverty as a key focus for its anti-poverty strategy. The government’s ‘Solidarity Target’ seeks to both increase wealth and increase the share of total income gained by these three deciles. The ability to demonstrate the advantages of policy divergence within Scotland, relative to the other parts of the United Kingdom, is central to the Government’s aim of gaining support for increased powers for the devolved government. This paper seeks to provide evidence on one aspect of the government’s anti- poverty strategy; the degree to which Scotland differs from the rest of the UK over levels of entrenched poverty. The paper demonstrates that not only does Scotland have greater entrenched poverty but that the changes in mobility since the 1990s have impacted on Scotland to a lesser degree than the rest of the UK.

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While much of the literature on cross section dependence has focused mainly on estimation of the regression coefficients in the underlying model, estimation and inferences on the magnitude and strength of spill-overs and interactions has been largely ignored. At the same time, such inferences are important in many applications, not least because they have structural interpretations and provide useful interpretation and structural explanation for the strength of any interactions. In this paper we propose GMM methods designed to uncover underlying (hidden) interactions in social networks and committees. Special attention is paid to the interval censored regression model. Our methods are applied to a study of committee decision making within the Bank of England’s monetary policy committee.

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The Agglomeration Bonus (AB) is a mechanism to induce adjacent landowners to spatially coordinate their land use for the delivery of ecosystem services from farmland. This paper uses laboratory experiments to explore the performance of the AB in achieving the socially optimal land management configuration in a local network environment where the information available to subjects varies. The AB poses a coordination problem between two Nash equilibria: a Pareto dominant and a risk dominant equilibrium. The experiments indicate that if subjects are informed about both their direct and indirect neighbors’ actions, they are more likely to coordinate on the Pareto dominant equilibrium relative to the case where subjects have information about their direct neighbors’ action only. However, the extra information can only delay – and not prevent – the transition to the socially inferior risk dominant Nash equilibrium. In the long run, the AB mechanism may only be partially effective in enhancing delivery of ecosystem services on farming landscapes featuring local networks.