Value of Big Game from Markets for Hunting Leases: The Hedonic Approach

1983 ◽  
Vol 59 (3) ◽  
pp. 287 ◽  
Author(s):  
Kerry R. Livengood
1992 ◽  
pp. 67-76 ◽  
Author(s):  
Noboru HIDANO ◽  
Yasuhisa HAYASHIYAMA ◽  
Yoshiro YAMAMURA
Keyword(s):  

2016 ◽  
Vol 19 (58) ◽  
pp. 23 ◽  
Author(s):  
Julia M. Núñez Tabale ◽  
Francisco J. Rey Carmona ◽  
José Mª Caridad y Ocerin

The econometric approach to obtain the value of a property began with hedonic modelling, which were based on a set of property attributes, internal or external, associated to each particular dwelling. The final sale value can be estimated, and also the marginal prices of each exogenous explanatory variable. A good alternative to the hedonic approach is based on several Artificial Intelligence (AI) techniques, such as artificial neural networks (ANN), these tend to be more precise. Both methodologies are compared, and a case study is developed using data from Seville, the larger town in the South of Spain.


2021 ◽  
Vol 22 (2) ◽  
pp. 35-54
Author(s):  
Jonathan S. Masur

Abstract In a series of important papers published roughly twenty years ago, Professor Robert Cooter developed a comprehensive economic theory of moral norms. He explained the value of those norms, described the process by which norms are adopted, and offered a set of predictions regarding the circumstances under which an individual will choose to adopt a particular moral norm. This brief Article applies behavioral law and economics and hedonic psychology to expand upon Professor Cooter’s path-breaking theory. In particular, understanding welfare in hedonic terms — rather than preference-satisfaction terms — suggests a multitude of further situations in which individuals will justifiably seek to internalize moral norms. The hedonic approach to welfare then further suggests an enhanced role for the government to play in encouraging the adoption of welfare-enhancing norms. Cooter’s theory, combined with modern understandings of welfare and human behavior, thus offers powerful predictive and prescriptive possibilities.


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