1,721,010 research outputs found
UK QE reconsidered: the real economy effects of monetary policy in the UK, 1990-2012 – an empirical analysis
No full textEmpirical studies of so called ‘unconventional’ monetary policy – ‘Quantitative Easing’ or ‘Large Scale Asset Purchases’ - since the North Atlantic Financial Crisis of 2007-2009 in the United Kingdom and elsewhere have mainly focussed on the effect of policy on intermediate variables rather than the stated ultimate goal of such policies, boosting nominal demand and GDP growth. Secondly and relatedly they tend to focus on the crisis and post-crisis period, a time of extraordinary economic and financial dislocation, which creates counterfactual and attribution problems and fails to capture typical macroeconomic lag dynamics. Adopting the approach of Voutsinas and Werner (2010), and building on Lyonnet and Werner’s (2012) study of UK QE, this paper addresses these weaknesses by 1) examining the impact of various different monetary policy instruments (including Quantitative Easing) directly on UK nominal GDP growth; and 2) using a quarterly time series beginning in the first quarter of 1990 and up to the last quarter of 2012 (92 observations in total). We use the Hendry ‘general-to-specific’ econometric methodology to estimate a parsimonious model. The results show that disaggregated bank credit to the real economy (households and firms) has the most significant impact on nominal GDP growth. Changes to the central bank’s interest rate, central bank reserves, and total central bank asset ratios drop out of the model as insignificant. The policy implication it that, as private banks continue to shrink their balance sheets in the UK and Europe following the North Atlantic Crisis of 2008, central banks might wish to consider ‘unconventional’ monetary policies that more directly boost credit to the real economy and thus nominal GDP growt
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
Beyond voluntary disclosure: Why a ‘market-shaping’ approach to financial regulation is needed to meet the challenge of climate change
Full text linkClimate-related financial policy in a world of radical uncertainty: Towards a precautionary approach
Full text linkClimate-related financial risks (CRFR) are now recognised by central banks and supervisors as material to their financial stability mandates. But while CRFR are considered to have some unique characteristics, the emerging policy agenda for dealing with them has largely focused on conventional market-based solutions. Current policy emphasises information gaps that prevent the accurate assessment of market risk. The assumption is that these gaps can be remedied via disclosure, transparency, scenario analysis and stress testing, which will enable markets to self-correct. We argue this approach is misguided as CRFR are characterised by radical uncertainty and hence ‘efficient’ price discovery is not possible. Instead, a ‘precautionary’ policy approach is proposed. Since climate change poses a severe and potentially irreversible threat, lack of scientific certainty as to its exact nature or timing should not prevent regulatory action to mitigate its impact. Such an approach justifies fully integrating CRFR into financial policy, including both prudential and monetary policy frameworks. Central banks and financial supervisors can and should actively steer market actors in a clear direction — towards a managed transition — to ensure a scenario that minimises harm to the financial system and the wider economy in the future
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