u/unusualassets

Estimate of shadow price of individuals in US dating markets based on various attributes. While love is impossible to predict, at the aggregate level, we have a relatively good inference of the importance of height / income for men, and youth / attractiveness for women. For example, one paper found a 5'6 man would have to earn 175k more to equal an otherwise equal 6' man. Other papers have found that women's perceived attractiveness peaks at between 18-24, and declines monotonically with age. The model is derived via insights from these academic papers:

Hitsch, Hortaçsu, & Ariely (2010). "Matching and Sorting in Online Dating." American Economic Review. AER · SSRN

Bruch & Newman (2018). "Aspirational pursuit of mates in online dating markets." Science Advances. Science Advances

Buss & Schmitt (1993). "Sexual Strategies Theory: An Evolutionary Perspective on Human Mating." Psychological Review. PubMed

Hamermesh & Biddle (1994). "Beauty and the Labor Market." American Economic Review. NBER

Coded in visual studio with assistance creating and debugging with Claude. Since this is a model with estimates from multiple papers, there is no single data source, rather the results from multiple academic papers are synthesized into a model which I believe fits the general results from these papers. No individual paper covers all data points, and have different methods/sources, so to create this amalgamated model, no single source was used. Of course, love and attraction is tricky to quantify, so these "shadow prices" should be taken with a grain of salt.

Interactive chart/model showing how dating-market “net worth” changes by age, height, income, gender and perceived attractiveness. Informed by academic research. [OC]

Apple Watch Ultra 3 stats wrecked after 1 slow run with GF