Showing 1 - 9 of 9
A ranking method assigns to every weighted directed graph a (weak) orderingof the nodes. In this paper we axiomatize the ranking method that ranksthe nodes according to their outflow using four independent axioms. This outflowranking method generalizes the ranking by outdegree for directed...
Persistent link: https://www.econbiz.de/10011255526
A ranking method assigns to every weighted directed graph a (weak) ordering
Persistent link: https://www.econbiz.de/10005144488
reduced game consistency in addition to other standard properties. …
Persistent link: https://www.econbiz.de/10011256159
Strong consistency of least squares estimators of the slope parameter in simple linear regression models is established …
Persistent link: https://www.econbiz.de/10011256174
consistency properties. We provide axiomatizations of this class of coalition structure share functions using these consistency …
Persistent link: https://www.econbiz.de/10005281774
In this paper we consider regression models with forecast feedback. Agents' expectations are formed via the recursive estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic approximation algorithms whose gain sequence is...
Persistent link: https://www.econbiz.de/10008484069
between the coalitions. We show that these coalition structure share functions satisfy certain consistency properties. We … provide axiomatizations of this class of coalition structure share functions using these consistency and multiplication …
Persistent link: https://www.econbiz.de/10011256541
We study the strong consistency and asymptotic normality of the maximum likelihood estimator for a class of time series … processes. We formulate primitive conditions for global identification, invertibility, strong consistency, asymptotic normality …
Persistent link: https://www.econbiz.de/10011256845
In this paper we consider regression models with forecast feedback. Agents' expectations are formed via the recursive estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic approximation algorithms whose gain sequence is...
Persistent link: https://www.econbiz.de/10011256878