1,720,968 research outputs found
Trade integration and growth
Recent empirical evidence suggests a negative relationship between trade integration and income per capita convergence. We show that moderate reductions in trade posts can generate sizable increases in income per capita divergence in a neoclassical two-country model of trade and growth. The welfare of both countries, however, rises with trade integration due to changes in their consumption time paths. Our setup sheds light on the striking nonlinear growth in the trade share of output since World War II: a linear fall in trade costs over time produces an exponential increase in the trade share of GDP. Concerning the empirical relationship between openness and technological progress, we perform an exercise that cautions against the use of aggregate production functions to obtain Solow residuals: two countries that reduce their trade costs and experience no technological progress are measured to have positive TFP growth rates if an aggregate production function is used for that purpose
The generalized neoclassical growth model
We construct and numerically solve a dynamic Heckscher-Ohlin model which, depending
on the distribution of production factors in the world and parameter values, allows for
worldwide factor price equalization or complete specialization. We explore the dynamics
of the model under different parameter values, and relate our theoretical results to the
empirical literature that studies the determinants of countries’ income per capita growth
and levels. In general, the model is capable of generating predictions in accordance with
the most important Þndings in the empirical growth literature. At the same time, it
avoids some of the most serious problems of the (autarkic) neoclassical growth model
Tax cuts in open economies
A reduction in income tax rates generates substantial dynamic responses within the frame-
work of the standard neoclassical growth model. The short-run revenue loss after an in-
come tax cut is partly -- or, depending on parameter values, even completely -- offset
by growth in the long-run, due to the resulting incentives to further accumulate capital.
We study how the dynamic response of government revenue to a tax cut changes if we
allow a Ramsey economy to engage in international trade: the open economy's ability to
reallocate resources between labor-intensive and capital-intensive industries reduces the
negative effect of factor accumulation on factor returns, thus encouraging the economy to
accumulate more than it would do under autarky. We explore the quantitative implica-
tions of this intuition for the US in terms of two issues recently treated in the literature:
dynamic scoring and the Laffer curve. Our results demonstrate that international trade
enhances the response of government revenue to tax cuts by a relevant amount. In our
benchmark calibration, a reduction in the capital-income tax rate has virtually no effect
on government revenue in steady state
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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