keresindex

Keresindex is a concept in the field of experimental economics that refers to a numerical measure of the difficulty of finding a mate in various social contexts. It is named after the Hungarian-American mathematician and computer scientist John von Neumann and the American computer scientist and game theorist Harold W. Kuhn's theory of stable matchings, and the numerical value of 0.8, which is approximately the ratio of the number of men to women who are at or above the mean rating of the opposite sex.

The keresindex, also known as the k-index, is a measure that is calculated by researchers in the laboratory experiments of mate choice to analyze the behavior of individuals in choosing their mates. It is based on the idea that people always want to marry someone with a better partner than themselves in some characteristics. The keresindex is derived by dividing the number of people in a given population who have made a choice that put them below the mean by the total number of people in the population.

The concept of keresindex was developed by researchers in the psychology and social sciences to study the dynamics of mate choice in the context of romantic relationships. It provides an objective measure to analyze how individuals in different social networks choose their mates, and has been applied in various studies to understand the factors that influence mate choice, including the importance of physical attractiveness, social status, and shared values.

In summary, keresindex is a measure of the difficulty of finding a mate in social contexts, which is derived from the ratio of individuals who are below the mean in a given characteristic. It provides a useful tool for researchers to analyze the dynamics of mate choice and the factors that influence it.