1,721,004 research outputs found
Can aggregation explain the persistence of inflation?
No full textAn aggregation exercise is proposed that aims at investigating whether the fast average adjustments of the disaggregate inflation series of the euro area CPI is coherent with the slow adjustment of euro area aggregate inflation. Estimating a dynamic factor model for 404 inflation sub-indices of the euro area CPI allows to decompose the dynamics of inflation sub-indices into a part due to a common macroeconomic shock and to sector specific idiosyncratic shocks. Although idiosyncratic shocks dominate the variance of sectoral prices, one common factor appears to be the main driver of aggregate dynamics. In addition, the heterogenous propagation of this common shock across sectoral inflation rates, and in particular its slow propagation to inflation rates Of Services, generates the persistence of aggregate inflation. We conclude that the aggregation mechanism explains a significant amount of aggregate inflation persistence. (C) 2008 Elsevier B.V. All rights reserved
Inflation persistence and price-setting behaviour in the euro area – a summary of the IPN evidence
Full text linkThis paper provides a summary of current knowledge on inflation persistence and price stickiness in the euro area, based on research findings that have been produced in the context of the Inflation Persistence Network. The main findings are - i) Under the current monetary policy regime, the estimated degree of inflation persistence in the euro area is moderate; ii) Retail prices in the euro area are more sticky than in the US; iii) There is significant sectoral heterogeneity in the degree of price stickiness; iv) Price decreases are not uncommon. The paper also investigates some of the policy implications of these findings. JEL Classification: E31, E42, E52.Price setting, inflation persistence, monetary policy, EMU.
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
New Eurocoin: Tracking Economic Growth in Real Time
No full textRemoval of short-run dynamics from a stationary time series to isolate the medium- to long-run component can be obtained by a bandpass filter. However, bandpass filters are infinite moving averages and can therefore deteriorate at the end of the sample. This is a well-known result in the literature isolating the business cycle in integrated series. We show that the same problem arises with our application to stationary time series. In this paper, we develop a method to obtain smoothing of a stationary time series by using only contemporaneous values of a large data set, so that no end-of-sample deterioration occurs. Our method is applied to the construction of New Eurocoin, an indicator of economic activity for the euro area, which is an estimate, in real time, of the medium- to long-run component of GDP growth. As our data set is monthly and most of the series are updated with a short delay, we are able to produce a monthly real-time indicator. As an estimate of the medium- to long-run GDP growth, Eurocoin performs better than the bandpass filter at the end of the sample in terms of both fitting and turning-point signaling. (c) 2010 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.
Change of Measure in Monte Carlo Integration via Gibbs Sampling with an application to Stochastic Volatility Models
No full textIn this article we focus on how to combine important sampling techniques within Markov chain Monte Carlo methods, particularly the Gibbs sampler. We propose a way for constructing a change of measure with respect to the intractable target joint distribution of the sampler by\ employing proper augmenting functions of the conditional distributions. The almost certain convergence of the estimates under the new measure will be proved, and it will be shown that, under the new measure, the variance of the Monte Carlo integration can be reduced. More interestingly, the change of measure induces a modification of the Markov chain generated by the sampler and, for a proper choice of the important sampling function, the new chain will show better mixing properties than the original. This is all illustrated in an application to the smoothing of the underlying conditional variance in a stochastic volatility model.
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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