1,720,960 research outputs found

    Labor Market Dynamics and Geographical Reallocation

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    We study how local labor demand shocks affect internal migration using the universe of labor market flows for Italy. First, we document two novel facts: i) large and systematic differences between gross and net job and internal migration flows arise both across space and over time; ii) each gross flow is an important driver of the net growth rates. We estimate the causal impact of different-sign labor demand shocks on internal migration flows using as instrumental variable plausibly exogenous large mass hire and layoffs events. Our estimates reveal that job creation has a strong effect on the in-migration rate, whereas job destruction has a much milder effect on the out-migration rate. Crucially, we document that the large responsiveness of in-migration does not work through an increase in the number of relocating workers, but rather through changes in their chosen destination alternatives. We also find that the effects of job creation on in-migration flows have a much larger geographical reach than those of job destruction, as out-migration flows are locally concentrated

    The network of injustice: a novel approach to inequality of opportunity

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    Restoring the theoretical foundation of John Roemer’s conceptualization of inequality of opportunity (IOp), we introduce an innovative empirical approach to measure unfair inequalities through Bayesian networks. This methodology enhances our understanding of income inequality through structural learning algorithms, generating an IOp index and, most importantly, shedding light on the underlying income formation process. We demonstrate how this proposal relates to established measurement methods through simulated data, and provide an application to five European countries to illustrate the potential of Bayesian networks in the context of measuring inequality of opportunity

    Labor market dynamics and geographical reallocation

    No full text
    We study how local labor demand shocks affect internal migration using the universe of labor market flows for Italy. First, we document two novel facts: i) large and systematic differences between gross and net job and internal migration flows arise both across space and over time; ii) each gross flow is an important driver of the net growth rates. We estimate the causal impact of different-sign labor demand shocks on internal migration flows using as instrumental variable plausibly exogenous large mass hire and layoffs events. Our estimates reveal that job creation has a strong effect on the in-migration rate, whereas job destruction has a much milder effect on the out-migration rate. Crucially, we document that the large responsiveness of in-migration does not work through an increase in the number of relocating workers, but rather through changes in their chosen destination alternatives. We also find that the effects of job creation on in-migration flows have a much larger geographical reach than those of job destruction, as out-migration flows are locally concentrated

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    And yet it moves? Insights into income and geographical mobility in Italy

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    This thesis stems from research work I carried out in various universities and institutions to provide new perspectives on the analysis of mobility in different research contexts. The first two chapters deal with earnings mobility and its association with inequality (Chapter 1) and polarization (Chapter 2), while the third chapter is concerned with geographical mobility in response to labour market shocks (Chapter 3). In all three cases, the focus of the analysis is on the Italian labour market. However, while the first and last works are applied in nature, the second one is a theoretical paper whose application is instrumental to understanding the theory and demonstrating its empirical relevance

    Variations on the Author

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    “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

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    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

    Wage Inequality: What Matters Most

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    La letteratura economica dimostra che le classiche caratteristiche demografiche e le variabili di capitale umano spiegano al massimo un terzo della disuguaglianza salariale nelle equazioni minceriane di reddito. Questo lavoro esplora la disuguaglianza non spiegata utilizzando dati italiani collegati tra datore di lavoro e dipendente dal 1998 al 2016. Fornisco evidenza che, dalla fine degli anni Novanta al 2016, il tipo di contratto è diventato sempre più importante nello spiegare la disuguaglianza salariale, soprattutto quella annuale e settimanale, ma circa il 70% della disuguaglianza nei redditi annuali e il 40% in quelli settimanali e orari rimangono non spiegati dalle caratteristiche osservabili. I risultati suggeriscono che parte della varianza non spiegata è dovuta alle differenze tra le aziende in cui i lavoratori sono impiegati, ma il contributo maggiore rimane l’eterogeneità non osservata dei lavoratori

    School-to-work transition, early career outcomes and income dynamics across cohorts in Italy. Does education pay?

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    Purpose: The work compares across cohorts and different levels of education the early-stage evolution of several labour market outcomes, with the aim of studying whether and to what extent education matters for the level, growth and stability of earnings. Design/methodology/approach: By using a rich longitudinal dataset developed from merging survey and administrative data, this article describes the evolution of the early career – five years following the education completion – in Italy comparing differently educated workers born between 1970 and 1984. Findings: The authors find evidence of an "education premium” during the first five years after education completion in terms of faster school-to-work transition, higher employability and higher earnings; moreover, education is associated with positive, faster and more volatile earnings growth, while for those experiencing a downward trend education does not appear to play any role. However, no clear-cut changes across cohorts in the association between the various outcomes and the level of education emerge, thus signalling that no continuous rise of skill premia in the first phase of the working career across cohorts characterises the Italian economy. Originality/value: The main originality consists in investigating the early career stage by cohort and by the level of education with a focus on many multi-year individual outcomes. Besides investigating the evolution of aggregate outcomes for differently educated individuals born in different cohorts, the authors also focus on individual earnings dynamics along the five years after the education completion
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