Empirical modeling of the impact factor distribution

Michał Brzeziński

No 2014-01, Working Papers from Faculty of Economic Sciences, University of Warsaw

Abstract: The distribution of impact factors has been modeled in the recent informetric literature using two-exponent law proposed by Mansilla et al. (2007). This paper shows that two distributions widely-used in economics, namely the Dagum and Singh-Maddala models, possess several advantages over the two-exponent model. Compared to the latter, the former give as good as or slightly better fit to data on impact factors in eight important scientific fields. In contrast to the two-exponent model, both proposed distributions have closed-from probability density functions and cumulative distribution functions, which facilitates fitting these distributions to data and deriving their statistical properties.

Keywords: impact factor; two-exponent law; Dagum model; Singh-Maddala model; maximum likelihood estimation; model selection (search for similar items in EconPapers)
JEL-codes: A12 C46 C52 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2014
New Economics Papers: this item is included in nep-ecm
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http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP118.pdf First version, 2014 (application/pdf)

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Journal Article: Empirical modeling of the impact factor distribution (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:war:wpaper:2014-01

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