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Prospecting for Economic Returns to Research: Adding Informational Value at the Market Fringe
Author(s) -
Weiler Stephan,
Hoag Dana,
Fan Chuenmei
Publication year - 2006
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/j.0022-4146.2006.00442.x
Subject(s) - value (mathematics) , investment (military) , economics , perspective (graphical) , boundary (topology) , microeconomics , private sector , bayesian probability , industrial organization , computer science , economic growth , mathematics , mathematical analysis , machine learning , artificial intelligence , politics , political science , law
. Private markets constantly assess project investment opportunities across a spectrum of such possibilities. The market's perspective on the boundary of viable projects, however, may be more limited than socially optimal due to informational constraints. In the case of economic development projects in particular, this boundary could be extended by public researchers. This paper constructs a method to estimate the private and social value‐added of such research, providing a new means to understand and assess the public/private sector interface. The framework uses agents’ evolving subjective perceptions through Bayesian updating to value research information, along with methods to estimate functional forms and relative optima. Two case studies of regional development research on value‐added agriculture in Colorado highlight the utility of the approach.