The Past's Long Shadow: A Systematic Review and Network Analysis of Economic History

Galofré-Vilà, Gregori

doi:10.1108/s0363-326820200000036003

Cited by 7 publications

(7 citation statements)

References 8 publications

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“…While most author‐level network analyses focus on coauthorship and productivity, citation networks have been studied at the paper level (e.g., by Seabrooke et al ., 2015), institution level (Önder and Terviö, 2015), or journal level (e.g., Cronin, 2008; Baccini et al ., 2020). Author‐level studies, as attempted in what follows, may provide unique information for their ability to consider correlates of citations at the individual scientist level, but so far in economics, they have involved small samples only or selected communities of economists, such as economic historians (Galofré‐Vilà, 2020) or the Chicago School (Henriksen et al ., 2017).…”

Section: The Literature On Citations Networkmentioning

confidence: 99%

“Many‐citedness”: Citations Measure More Than Just Scientific Quality

D’Ippoliti

2021

Journal of Economic Surveys

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Citation counts are increasingly used to create rankings of scholars or institutions: while social scientists are often skeptical of the resulting indexes, economists have mostly been supporters of this approach. Yet, citation metrics have raised two debates in the literature: empirical, regarding their technical use, and theoretical, regarding their meaning and, more generally, the meaning of “scientific quality.” I review this literature highlighting the consequences for the use of citations for research assessment. As an application, I further study the network of citations of publications indexed in Web of Science, authored by all Italian academic economists between 2011 and 2015. I find that the probability of a citation between any two authors depends on similarity in their methods and topics but also, significantly, on various measures of social community and even of ideological proximity. The influence of social relations does not cancel out in the aggregate, as total citations to an individual depend on their network centrality. In the case of economics, citations cannot be interpreted as unbiased proxies of scientific quality.

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Section: The Literature On Citations Networkmentioning

confidence: 99%

“Many‐citedness”: Citations Measure More Than Just Scientific Quality

D’Ippoliti

2021

Journal of Economic Surveys

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“…Since then, a growing literature illustrates the influence of or merging of economics with other social sciences and empirical methodologies (Boldizzoni 2011; Greasley and Oxley 2010; Jones et al 2012;Lamoreaux 2015;Lyons et al 2007;Margo 2018;McCloskey 1976;Mitchener 2015;Reckendrees 2017;Romer 1994;Temin 2013;Waldenström 2005). Among the most prolific authors in this area are Diebolt, Haupert, and colleagues (Diebolt and Demeulemeester 2007;Diebolt and Haupert 2016, 2020, 2021Haupert 2017). According to them, economic history scholars must view simultaneously the two directions that can be taken: Let economic history become a dead discipline or a growing discipline through economics (Diebolt and Haupert 2021).…”

Section: Introductionmentioning

confidence: 99%

“…According to them, economic history scholars must view simultaneously the two directions that can be taken: Let economic history become a dead discipline or a growing discipline through economics (Diebolt and Haupert 2021). Galofré-Vilà 2020;Hamermesh 2018;Ojala et al 2017;Seltzer 2018;Seltzer and Hamermesh 2018;Stigler et al 1995;Whaples 1991Whaples , 2002. For example, Collins analyses coauthorship in economic history and economics from 1963 to 2011, and specifically pinpoints that 'co-authorships in economic history are more likely to be formed of individuals of different seniority as compared to economics generally' (Seltzer and Hamermesh 2018).…”

Section: Introductionmentioning

confidence: 99%

Recent trends in publications of economic historians in Europe and North America (1980–2019): an empirical analysis

2022

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This article analyses the integration of economic history into economics using a unique dataset containing 11,143 articles written by 919 economic historians and published between 1980 and 2019 in leading journals; we also analyzed the authors’ biographical information. Using a probit regression, we find that since 1980, economic historians have increased their likelihood of publishing in Economics or Finance Journals (EFJs) by 12 points. This integration is more marked in North America than in Europe because North American economic historians are more likely to be trained in the discipline of economics. In contrast, a significant share of scholars in Europe are trained in the discipline of economic history. Network visualizations confirm these regional differences: citations to EFJs are much more central in North American scholars’ work. Our findings support Robert Margo’s claim that economic history is currently integrated into economics more often in publications in North America than in Europe.

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“…Subsequent works have developed mostly into two streams of literature: Some works used network analysis to identify and describe communities of influential academics and/or specific issues or schools of thought; others considered the relevance of network connections to explain individual economists' performance, for example, in terms of productivity or citations. Within the first mentioned stream, Galofré‐Vilà (2020) analyses the community of economic historians, Georg and Rose (2016) financial economists, Glötzl and Aigner (2018) the economists based at the Universities of Vienna and Helgadóttir (2016) the ‘Bocconi boys’. In several cases, citation networks in this stream of literature have been analysed not among individual economists but rather at the journal level (e.g., by Cronin, 2008; or Baccini et al, 2020), institution level (Önder & Terviö, 2015) or paper level (e.g., by Seabrooke et al, 2015).…”

Section: The Literature On Citation Networkmentioning

confidence: 99%

Social determinants of citations: An empirical analysis of UK economists

D'Ippoliti,

Gobbi,

Mongeau Ospina

et al. 2023

Kyklos

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We investigate to what extent personal proximity and similarity in professional and political attributes, besides scientific factors, help explaining citations between economists. We do so by using a unique dataset of all academic economists based in the United Kingdom, created specifically for this study by merging RePEc data on works published in the past four decades with information collected by manually processing their curriculum vitae (CVs). We investigate directed citations within each pair of authors active in a same year, finding that social factors play an important role as predictors of citations. An author is systematically more likely to cite another economist not only if they work on similar topics, but most relevantly if they have been co‐authors, faculty colleagues, alumni of the same Alma Mater, and even if they express similar political views. The implication is that citations do not signal the intrinsic quality of research outputs only, but they also capture social and professional connections. When citation counts are used to reward academics, economists have an incentive to join many and large professional communities as doing so would increase their predicted citations.

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The Past's Long Shadow: A Systematic Review and Network Analysis of Economic History

Cited by 7 publications

References 8 publications

“Many‐citedness”: Citations Measure More Than Just Scientific Quality

“Many‐citedness”: Citations Measure More Than Just Scientific Quality

Recent trends in publications of economic historians in Europe and North America (1980–2019): an empirical analysis

Social determinants of citations: An empirical analysis of UK economists

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