at Google ScholarTitle data
Kurz, Sascha:
Computing the Power Distribution in the IMF.
Bayreuth
,
2016
. - 19 p.
Abstract in another language
The International Monetary Fund is one of the largest international organizations using a weighted voting system. The weights of its 188 members are determined by a fixed amount of basic votes plus some extra votes for so-called Special Drawing Rights (SDR). On January 26, 2016, the conditions for the SDRs were increased at the 14th General
Quota Review, which drastically changed the corresponding voting weights. However, since the share of voting weights in general is not equal to the influence, of a committee member on the committees overall decision, so-called power indices were introduced. So far the power distribution of the IMF was only computed by either approximation procedures or smaller games than then entire Board of
Governors consisting of 188 members. We improve existing algorithms, based on dynamic programming, for the computation of power indices and provide the exact results for the IMF Board of Governors before and after the increase of voting weights. Tuned low-level details of the algorithms allow the repeated routine with sparse computational resources and can of course be applied to other large voting bodies. It turned out that the Banzhaf power shares are rather sensitive to changes of the quota.
Further data
| Item Type: | Preprint, postprint |
|---|---|
| Keywords: | power indices; weighted voting games; International Monetary Fund; Shapley-Shubik index; Banzhaf index; empirical game theory |
| Subject classification: | Mathematics Subject Classification Code: 91B12 91A12 |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics Profile Fields > Emerging Fields > Governance and Responsibility Faculties Profile Fields Profile Fields > Emerging Fields |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 320 Political science 500 Science > 510 Mathematics |
| Date Deposited: | 12 Mar 2016 22:00 |
| Last Modified: | 20 Mar 2019 11:26 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/31772 |