Maximizing the Value of Science: No News Can Be Good News
Author(s) -
Michael Mandler
Publication year - 2011
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.1554687
Subject(s) - news values , value (mathematics) , news analytics , news media , political science , advertising , computer science , mathematics , business , statistics , machine learning
When scientists choose research projects with the highest expected value an externality can appear; slight variations on existing work will be selected in preference to new lines of research that would ultimately generate more value. New research enjoys two advantages: it is riskier and hence more likely to lead to high-value spin-o¤ projects and it can generate more spin-o¤ projects. Less communication among scientists can mitigate the externality, as can the presence of scientists who are risk-takers and secretive. When scientists maximize citations rather than expected value, the externality can but need not be alleviated. JEL codes: D62, D83, H41, Z19
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