1,720,989 research outputs found
Are they worth it?: A counterfactual impact evaluation of a decade of investment subsidies to Italian firms
No full textIn this paper we investigate the impact on employment, payroll costs and labour productivity of investment subsidies awarded to industrial firms in Italy during 2000-2009, focusing on estimating heterogeneous impacts by economic values of the subsidy and by relevant firm characteristics. The analysis exploits desirable natural experiment conditions in terms of exogenous treatment exclusions and an unique availability of administrative microdata that cover the universe of Italian firms. Our impact estimates are obtained by means of two different matching estimators and a discontinuity approach, combined with a difference-in-difference scheme, and dynamically implemented in terms of separately considering each consecutive cohort of treated firms. The results of our analysis show that large non-repayable subsidies, particularly when given to large firms and in underdeveloped regions, are an ineffective way to stimulate additional private investments leading to employment growth and/or improvements in labour productivity. Small subsidies given to small firms, not in the context of severely distressed areas, are instead the programme interventions with the best cost-effectiveness
The Impact of Degree Duration on Higher Education Participation: Evidence from a Large-Scale Natural Experiment
Full text linkThis paper investigates the effects on enrollment, retention rate and on-time graduation of a nationwide Bologna-Process reform introduced in Italy to establish BAs with a duration of three years, followed by optional second-tier degrees of two years, in place of single-tier degrees of four or five years. The analysis exploits exogenous delay of treatment conditions and the unique availability of microdata that cover the universe of the departments. We estimate that the reform boosted first-year enrollments by 14.5-17.3 percentage points, compared to a counterfactual status of no reform. This enrollment shift was due to participation gains rather than substitution effects, and it is likely to have persisted in the longer term. Moreover, no trade-off between increased participation and deteriorated retention and on-time graduation emerge
La valutazione degli effetti della riforma del 3+2: alcune analisi empiriche sui dati dell’Ufficio Statistica del MIUR.
No full textNatural Disasters and Relief Assistance: Empirical Evidence on the Resilience of U.S. Counties using Dynamic Propensity Score Matching
No full textThis paper utilizes a novel dynamic propensity score matching approach for multiple cohorts of U.S. counties between 1989 and 1999 to examine local economy resilience to rare natural disasters. Affected counties are sorted based on disaster intensity and are carefully matched to similar counties that did not experience a disaster. A difference-in-difference estimator compares trends of affected counties’ post-disaster business establishments, employment, and payroll to counterfactual trends in the matched counties. All affected counties experienced short-run drops in economic activity that was particularly noticeable in higher-intensity disasters. In the longer-run, less distressed counties returned to their estimated counterfactual trends, but counties with lower pre-disaster socioeconomic conditions still lagged in growth, particularly in cases of lower-intensity disasters. Policymakers can use this information to better prepare responses to future disaster
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
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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