Abstract: The idea that probability distribution functions could provide appropriate mathematical forms for utility functions representing risk aversion is of respectable antiquity. But the relatively few examples that have appeared in the economics literature have displayed quite restrictive risk aversion properties. This paper examines the potential of the generalised extreme value (GEV) distribution as utility function, showing it possesses considerable flexibility as regards risk aversion properties, even in its single parameter form. The paper concludes that the GEV utility function is worth considering for applications in cases where parametric parsimony matters
In this paper, we explore estimable Generalized Extreme Value (GEV) spatial discrete choice models. ...
This paper extends M. J. Machina's generalized expected utility analysis to preferences over multiva...
This paper develops an unconditional and conditional extreme value approach to calculating value at ...
The idea that probability distribution functions could provide appropriate mathematical forms for ut...
The idea that probability distribution functions could provide appropriate mathematical forms for ut...
The Generalized Extreme Value Model (GEV) was developed by McFadden (cf. McFadden, 1981) with the pu...
The Generalized Extreme Value Model (GEV) was developed by McFadden (cf. McFadden, 1981) with the pu...
In searching for an appropriate utility function in the expected utility framework, we formulate fou...
The paper examines the properties of a generalised mean of simple utilities each displaying risk ave...
In searching for an appropriate utility function in the expected utility framework, we formulate fou...
The paper examines the properties of a generalised mean of simple utilities each displaying risk ave...
This paper considers the decision maker whose evaluation and consequent choice of actions is accompl...
[[abstract]]The logarithm function, with a slight modification, is proposed to be a general utility ...
AbstractThe logarithm function, with a slight modification, is proposed to be a general utility func...
Extreme Value distributions arise as limiting distributions for maximums or minimums (extreme values...
In this paper, we explore estimable Generalized Extreme Value (GEV) spatial discrete choice models. ...
This paper extends M. J. Machina's generalized expected utility analysis to preferences over multiva...
This paper develops an unconditional and conditional extreme value approach to calculating value at ...
The idea that probability distribution functions could provide appropriate mathematical forms for ut...
The idea that probability distribution functions could provide appropriate mathematical forms for ut...
The Generalized Extreme Value Model (GEV) was developed by McFadden (cf. McFadden, 1981) with the pu...
The Generalized Extreme Value Model (GEV) was developed by McFadden (cf. McFadden, 1981) with the pu...
In searching for an appropriate utility function in the expected utility framework, we formulate fou...
The paper examines the properties of a generalised mean of simple utilities each displaying risk ave...
In searching for an appropriate utility function in the expected utility framework, we formulate fou...
The paper examines the properties of a generalised mean of simple utilities each displaying risk ave...
This paper considers the decision maker whose evaluation and consequent choice of actions is accompl...
[[abstract]]The logarithm function, with a slight modification, is proposed to be a general utility ...
AbstractThe logarithm function, with a slight modification, is proposed to be a general utility func...
Extreme Value distributions arise as limiting distributions for maximums or minimums (extreme values...
In this paper, we explore estimable Generalized Extreme Value (GEV) spatial discrete choice models. ...
This paper extends M. J. Machina's generalized expected utility analysis to preferences over multiva...
This paper develops an unconditional and conditional extreme value approach to calculating value at ...