1,720,994 research outputs found
Wealth inequality, systemic financial fragility and government intervention
Full text linkDoes wealth inequality make financial crises more likely? If so, how can a government
intervene, and how does this affect the distribution of resources in the economy? To
answer these questions, we study a banking model where strategic complementarities
among wealth-heterogeneous depositors trigger systemic self-fulfilling runs. In equilibrium, higher wealth inequality increases directly the incentives to run of the poor,
and indirectly those of the rich via higher bank liquidity insurance, thus increasing the probability of a systemic self-fulfilling run overall. A government intervention on
illiquid but solvent banks redistributes resources towards the poor and makes systemic
self-fulfilling runs less likely
A theory of government bailouts in a heterogeneous banking system. In: Banco de Portugal working paper series.
No full textHow should a government bail out a heterogeneous banking system subject to systemic self-fulfilling runs? To answer this question, we develop a theory of banking with multiple groups of depositors of different size and wealth, where systemic self-fulfilling runs emerge as a consequence of a global game, and a government uses a public good to bailout banks through liquidity injections. In this framework, we characterize the endogenous probability of a systemic self-fulfilling run, and the conditions under which a full bailout cannot be part of the equilibrium. The optimal bailout strategy should target those banks whose bailout has the largest marginal impact on the probability of a systemic self-fulfilling run, and whose depositors are at the lower end of the wealth distribution
Revealing incentives for compatibility provision in vertically differentiated network industries
Full text linkWe determine the incentives for compatibility provision of firms that produce network goods with different intrinsic qualities when firms do not have veto power over compatibility. When
network effects are strong, there are multiple equilibria in pricing and consumer decisions. We show that in some equilibria, it is the high quality firm that invests in compatibility, whereas in others, the low quality firm triggers compatibility. The socially optimal compatibility degree is zero, except under very strong network effects, where one of the equilibria has all consumers buying the low quality good. In this case, a partial degree of compatibility is optimal
Technology adoption: hysteresis and absence of lock-in
No full textWe introduce a simple model of technology adoption with overlapping generations of players. Technologies generate network effects, and players are both backward- and forward-looking. We use results from the supermodular games literature to guarantee equilibrium existence and uniqueness. In line with the empirical literature, the equilibrium adoption path exhibits hysteresis and technologies cannot lock-in. We characterize the expected time of adoption, which can be seen as a measure of technology dominance
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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