1,721,328 research outputs found
Data and Code for: Product Variety, the Cost of Living and Welfare Across Countries
No full textCavallo, A., Feenstra, R.C., & Inklaar, R.C., (2022). Product Variety, the Cost of Living and Welfare Across Countries. American Economic Journal: Macroeconomics, forthcomin
Data and Code for: Product Variety, the Cost of Living and Welfare Across Countries
No full textCavallo, A., Feenstra, R.C., & Inklaar, R.C., (2022). Product Variety, the Cost of Living and Welfare Across Countries. American Economic Journal: Macroeconomics, forthcomin
Data and Code for: Product Variety, the Cost of Living and Welfare Across Countries
No full textCavallo, A., Feenstra, R.C., & Inklaar, R.C., (2022). Product Variety, the Cost of Living and Welfare Across Countries. American Economic Journal: Macroeconomics, forthcoming</i
The Wage Effects of Offshoring: Evidence from Danish Matched Worker-Firm Data
Full text linkWe estimate how offshoring and exporting affect wages by skill type. Our data match the population of Danish workers to the universe of private-sector Danish firms, whose trade flows are broken down by product and origin and destination countries. Our data reveal new stylized facts about offshoring activities at the firm level, and allow us to both condition our identification on within-job-spell changes and construct instruments for offshoring and exporting that are time varying and uncorrelated with the wage setting of the firm. We find that within job spells, (1) offshoring tends to increase the high-skilled wage and decrease the low-skilled wage; (2) exporting tends to increase the wages of all skill types; (3) the net wage effect of trade varies substantially across workers of the same skill type; and (4) conditional on skill, the wage effect of offshoring exhibits additional variation depending on task characteristics. We then track the outcomes for workers after a job spell and find that those displaced from offshoring firms suffer greater earnings losses than other displaced workers, and that low-skilled workers suffer greater and more persistent earnings losses than high-skilled workers.
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
Import Diversion under European Antidumping Policy
Full text linkThis paper is the first to study empirically the effects of European antidumping actions on import diversion from importers 'named' in an antidumping investigation, and potentially subject to protectionist measures, to countries not named' in the investigation. For this purpose we use a unique data set at the 8-digit product level. The amount of import diversion can be regarded as an indication of the effectiveness of antidumping policy which is used to protect the home industry from foreign imports. We find that -- in contrast to the US -- trade diversion in the European Union caused by antidumping actions is rather limited. This result holds even after controlling for selection-bias in the antidumping investigation procedure. We offer a number of explanations for the difference between Europe and the US regarding trade diversion.
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
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