1,721,008 research outputs found
Selection bias ed incentivi alle imprese nei programmi per lo sviluppo locale: una valutazione ex-post
No full textThis paper focuses on the evaluation of an aid scheme included in a larger local development
program realized in Italy during the 2000-2006 cycle of EU Structural Funds. It follows a
previous analysis (Cusimano, Mazzola, 2014) on the ex-post evaluation of the effects of
the aid schemes included in the so-called territorial integrated projects (tips) and aims
at identifying the possible presence of selection bias in measuring the effectiveness of the
policy. After running an empirical analysis based on several propensity score matching
(psm) methods, we show that, at least partially, the positive results previously obtained
may not be related to an effective success of the policy, but could indicate a distortive effect
of the selection process
Selection bias and incentives to firms in development programs: an ex-post evaluation of an aid scheme for Sicily
No full textThis paper focuses on the evaluation of an aid scheme included in a larger local development program framework implemented in Italy during the 2000-2006 cycle of EU Structural Funds. It follows a previous analysis (Cusimano & Mazzola, 2014) on the ex-post evaluation of the effectiveness of the resources allocated to aid schemes included in the Italian territorial integrated projects (TIPs) and aims at identifying the possible presence of selection bias in measuring the effectiveness of the policy. Previous results showed a partial effectiveness of the program, at least with reference to employment and sales. The objective of this work is to investigate the role of the selection process in influencing the positive effect of the incentive policy. We run an empirical analysis that uses several propensity score matching methods, in combination with a difference in differences approach, in order to check for robustness. With all methodologies we observe that, at least partially, the positive results previously obtained could not indicate an effective success of the policy, but they could be attributed to a distortive effect of the selection process
Selection bias ed incentivi alle imprese nei programmi per lo sviluppo locale: una valutazione ex-post di un programma di aiuti alle imprese per la Sicilia
No full textQuesto lavoro si concentra sulla valutazione di un programma di aiuti alle imprese facente parte di un più vasto programma per lo sviluppo locale realizzato in Italia durante il ciclo di programmazione comunitaria 2000-2006. In particolare, esso costituisce una valutazione ex-post dell’efficacia delle risorse destinate ai regimi di aiuto all’interno dei progetti integrati territoriali (PIT), e mira ad identificare l’eventuale presenza di distorsione da selezione (selection bias) nella quantificazione dell’efficacia della politica. L’obiettivo di questo lavoro è di esaminare il ruolo svolto dal processo di selezione nell’influenzare l’effetto positivo della politica di incentivi. L’analisi è stata effettuata utilizzando differenti metodologie basate sul propensity score matching, insieme ad un approccio difference-in-differences. I risultati sono altamente robusti a tutte le metodologie utilizzate e ci portano a concludere che risultati positivi precedentemente ottenuti potrebbero non indicare un effettivo successo della politica, ma potrebbero riflettere un effetto distorsivo del processo di selezione
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
Unʼanalisi controfattuale degli incentivi agli investimenti infrastrutturali per lo sviluppo locale : il caso dei PIT
No full textDispelling 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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