Intellectual Infl uence: Quality versus Quantity
To take development and budgeting decisions for research activi- ties the officials in charge need to constantly evaluate and assess the quality of research. Over the years a handful of scoring methods for academic journals have been proposed. Discussing the most prominent methods (de facto standards) we show that they cannot distinguish quality from quantity at article level and that they are inherently biased against journals publishing more articles. If we consider the length of a journal by the number of pages or characters, then all methods are biased against lengthier journals. The systematic bias we nd is analytically tractable and implies that the methods are ma- nipulable. We show that the strategies for successful manipulation are relatively easy to infer and implement. The implications of our ndings extend beyond the evaluation of academic research, to related settings like the ranking of web domains. Non-manipulable methods for measuring intellectual in uence exist.
|Date of creation:||2010|
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- Ignacio Palacios-Huerta & Oscar Volij, 2004.
"The Measurement of Intellectual Influence,"
Econometric Society, vol. 72(3), pages 963-977, 05.
- Ignacio Palacios-Huerta & Oscar Volij, 2002. "The Measurement of Intellectual Influence," Economic theory and game theory 015, Oscar Volij.
- Volij, Oscar & Palacios-Huerta, Ignacio, 2004. "The Measurment of Intellectual Influence," Staff General Research Papers Archive 10797, Iowa State University, Department of Economics.
- Shoham,Yoav & Leyton-Brown,Kevin, 2009. "Multiagent Systems," Cambridge Books, Cambridge University Press, number 9780521899437, December.
- repec:cup:cbooks:9780511474149 is not listed on IDEAS Full references (including those not matched with items on IDEAS)