1,720,967 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
The ECB's monetary analysis revisited
Monetary aggregates continue to play an important role in the ECB's policy strategy. This paper revisits the case for money, surveying the ongoing theoretical and empirical debate. The key conclusion is that an exclusive focus on non-monetary factors alone may leave the ECB with an incomplete picture of the economy. However, treating monetary factors as a separate matter is a second-best solution. Instead, a general-equilibrium inspired analytical framework that merges the economic and monetary pillars of the ECB's policy strategy appears the most promising way forward. The role played by monetary aggregates in such unified framework may be rather limited. However, an integrated framework would facilitate the presentation of policy decisions by providing a clearer narrative of the relative role of money in the interaction with other economic and financial sector variables, including asset prices, and their impact on consumer prices. --ECB,monetary analysis,monetary pillar,New Keynesian model,DSGE model,P* model,Twopillar Phillips curve,VAR model,generalized dynamic factor model
Variations on the Author
“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
We 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
A Comparative Analysis of the Czech Republic and Hungary. Using small Continuous-Time Macroeconometric Models
In this paper we estimate a continuous-time macroeconometric model of the Hungarian economy and compare it with the Czech model described in Stavrev (1998). On the basis of the estimated models we provide simulations and compare the results between the two countries for i) anti-inflationary policy; ii) monetary and fiscal policies; iii) the effect of different wage indexation schemes; iv) the effect of nominal wage rigidities and v) the effect of price and nominal wage freeze.Lucas critique, Policy simulations, Macroeconometric model, Anti-inflationary policy, Effectiveness of monetary and fiscal policies
A Comparative Analysis of the Czech Republic and Hungary: Using Small Continuous-Time Macroeconometric Models
Abstract: In this paper we estimate a continuous-time macroeconometric model of the Hungarian economy and compare it with the Czech model described in Stavrev (1998). On the basis of the estimated models we provide simulations and compare the results between the two countries for i) anti-inflationary policy; ii) monetary and fiscal policies; iii) the effect of different wage indexation schemes; iv) the effect of nominal wage rigidities and v) the effect of price and nominal wage freeze.
A Small Continuous Time Macro-Econometric Model of the Czech Republic
Abstract: In this paper we estimate a continuous time macro-econometric model of the Czech economy. The model is built as a system of twelve non-linear differential equations. We illustrate how the model can be used to determine the nominal equilibrium exchange rate of the Czech koruna in a macro-economic framework. The paper also investigates the effectiveness of monetary and fiscal policies in the presence of a fixed exchange rate regime and massive capital inflows. The search for an equilibrium point is outlined and stability and sensitivity analyses are provided, along with in-sample static and dynamic predictions with the approximate discrete analogue.
Dispelling the Myths Behind First-author Citation Counts
We 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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