The intellectual influence of economic journals: quality versus quantity/ created by László Á. Kóczy and Alexandru Nichifor

By:

Kóczy, László Á [author]

Contributor(s):

Nichifo, Alexandru [co author]

Material type: Text

TextSeries: Economic theory ; Volume 52, number 3Berlin: Springer, 2013Content type:

text

Media type:

unmediated

Carrier type:

volume

ISSN:

09382259

Subject(s):

LOC classification:

HB119 ECO

Online resources:

Click here to access online

Abstract: The evaluation of scientific output has a key role in the allocation of research funds and academic positions. Decisions are often based on quality indicators for academic journals, and over the years, a handful of scoring methods have been proposed for this purpose. Discussing the most prominent methods (de facto standards) we show that they do not distinguish quality from quantity at article level. The systematic bias we find is analytically tractable and implies that the methods are manipulable. We introduce modified methods that correct for this bias, and use them to provide rankings of economic journals. Our methodology is transparent; our results are replicable.

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Holdings
Item type	Current library	Call number	Vol info	Copy number	Status	Notes	Date due	Barcode
Journal Article	Main Library - Special Collections	HB119 ECO (Browse shelf(Opens below))	vol. 52, no. 3 (pages 863-864)	SP21293	Not for loan	For In house Use
Journal Article	Main Library - Special Collections	HB119 ECO (Browse shelf(Opens below))	Vol. 52, no.3 (pages 863-864)	SP21293	Not for loan	For In house Use

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The evaluation of scientific output has a key role in the allocation of research funds and academic positions. Decisions are often based on quality indicators for academic journals, and over the years, a handful of scoring methods have been proposed for this purpose. Discussing the most prominent methods (de facto standards) we show that they do not distinguish quality from quantity at article level. The systematic bias we find is analytically tractable and implies that the methods are manipulable. We introduce modified methods that correct for this bias, and use them to provide rankings of economic journals. Our methodology is transparent; our results are replicable.

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