Refining the information function method: Instrument and application
Dan Qin
Czech Economic Review2014article
ABDC C
Weight
0.26
What the paper says
Information function method is a powerful tool for analyzing the information requirements of social welfare functions. However, the original information function provides only a coarse description of information structure. In this article, we propose a refinement of this method by changing the range of the information function. We also analyze the role of partially relevant information in preference aggregation through an application of the refined version of the information function method.
Evidence weight
0.26
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.00 × 0.4 = 0.00 |
| M · momentum | 0.20 × 0.15 = 0.03 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.