1,720,965 research outputs found
Mapping digital businesses with big data: Some early findings from the UK
Governments around the world want to develop their ICT industries. Researchers and policymakers thus need a clear picture of digital businesses, but conventional datasets and typologies tend to lag real-world change. We use innovative ‘big data’ resources to perform an alternative analysis for all active companies in the UK, focusing on ICT-producing firms. Exploiting a combination of observed and modelled variables, we develop a novel ‘sector-product’ approach and use text mining to provide further detail on key sector-product cells. We find that the ICT production space is around 42% larger than SIC-based estimates, with around 70,000 more companies. We also find ICT employment shares over double the conventional estimates, although this result is more speculative. Our findings are robust to various scope, selection and sample construction challenges. We use our experiences to reflect on the broader pros and cons of frontier data use
The Effect of Emigration from Poland on Polish Wages
In this paper, we analyse the effect of emigration from Poland on Polish wages. Focusing on the 1998-2007 period for Poland, we use a unique dataset that contains information about household members who are currently living abroad, which allows us to develop region-specific emigration rates and to estimate the effect of emigration on wages using within-region variation. Our findings show that emigration led to a slight increase in wages for high- and medium-skilled workers, which are the two groups with the largest relative outmigration rates. Workers at the low end of the skill distribution might have experienced wage decreases
TBTs, Firm Organization and Labour Structure
This paper investigates the effect of foreign shocks induced by the introduction of Technical Barriers
to Trade (TBTs) in importing countries on exporting firms’ occupational structure. We rely on Specific Trade Concern data to identify trade-restrictive TBT measures, combined with matched
employer-employee data for French exporters in the period 1995-2010, and with information on
product-destinations served by each exporter. Controlling for time-invariant firm/occupation effects
and for time-varying sector/occupation shocks, 2SLS estimates show that exporting firms respond
to the imposition of TBTs at destination by raising the share of managers at the expense of blue
collars, white collars and other professionals
In medio stat virtus? Effective communication and preferences for redistribution in hard times
This paper evaluates the effects of statistical information on allocation preferences
of scarce public resources. We refer to scarce resources in connection with the COVID19 emergency: allocation of the first round of vaccine and the allocation of financial resources provided by the Italian government to fight the economic emergency triggered by the pandemic. Randomly allocating the information through an online experiment, we show that treated respondents tend to prioritize the group targeted by the information and are more likely to do so if respondents are “in the middle” in terms of age, political preferences, distribution preferences and education
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
Emigrant Selection and Wages: the Case of Poland
In this paper, I use a unique individual-level pre-migration labour market dataset for Poland to examine emigrant selection in two major destination countries, the United Kingdom and Germany. I compare the pre-migration observable and unobservable characteristics of emigrants with those of non-emigrants in Poland. First, I find that Polish emigrants to the UK are more similarly educated to non-emigrants while being more negatively selected on residual wages. Second, emigrants to Germany are disproportionately more likely to fall in the middle of the education distribution but they are no different than non-emigrants in terms of unobservable skills. The familiar predictions of the ?) model allow me to partially undercover the mechanism driving the selection patterns of Polish emigrants. I contribute to the migrant selection literature by providing additional evidence on how migrants respond to differences in both labour markets and migration policies across countries
- …
