1,721,239 research outputs found
Cebula Richard J. — The determinants of human migration
Courgeau Daniel. Cebula Richard J. — The determinants of human migration. In: Population, 36ᵉ année, n°4-5, 1981. p. 956
Quantitative easing, macroeconomic stability and economic policy effectiveness
Purpose – This study mathematically aims to evaluate the implications of a central bank’s adoption of a
policy . of quantitative easing (QE)/relative QE
Design/methodology/approach – It is shown, within an investment-savings (IS)-liquidity preferencemoney
supply (LM) framework, that this policy prerogative has, depending upon the aggressiveness which
QE is undertaken, demonstrable implications for the conditions under which macroeconomic stability exists.
Findings – Furthermore, it is shown here that the presence of QE increases the effectiveness of traditional
discretionary monetary and fiscal policies.
Originality/value – The study shows, within an IS-LM framework, that this policy prerogative has,
depending upon the aggressiveness which QE is undertaken, demonstrable implications for the conditions
under which macroeconomic stability exists
Stock market reactions to announcements of the board of directors: evidence from Italy
The board of directors plays an important role in corporate governance. It
is an internal mechanism that controls and monitors the actions of
managers and aligns the utility functions between corporate owners
and managers. The board of directors performs multiple functions that
concern, for example, the replacement of the managers, financial policy,
the preparation of strategic plans and other actions that affect the performance
of the company. The board plays an important role since on the
one hand it controls the actions of management and on the other it
advises the management regarding the strategies to be adopted. In this
study, 100 announcements regarding the appointment of the board of
directors of 100 Italian listed companies during the period 2012–2014
are investigated. The results show a positive reaction within 20 days
around the announcement date. In four of the six time windows, cumulative
abnormal returns (CARs) are positive and statistically significant.
The positive reaction of the market would appear, however, to be linked
more to the composition of the board of directors than to the size of the
board of director
Does the Board of Directors Affect the Extent of Corporate R&D? Evidence from Italian listed companies
Using a panel dataset for 369 firm-year observations during the period 2005-2013 in the Italian context, we investigate
the impact of certain characteristics of corporate boards on the magnitude of corporate Research and Development
(R&D). Our findings reveal a negative relationship between R&D and board size on the one hand and between R&D
and board ownership on the other hand. Moreover, we find strong evidence of a positive and statistically significant
relationship between R&D and independent corporate board directors. In addition, we also find a relationship between
R&D and board diversity effect, as measured by women and foreign members on the boardroom. Our study uses
multiple econometric models to address endogeneity issues
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
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
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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