Matching on Gender and Sexual Orientation,

Abstract We study the mating patterns of non-heterosexual individuals, who represent a significant and increasing portion of the population, particularly among the youth. We estimate a multidimensional matching model of the marriage market where partner’s gender is endogenously chosen conditional on the agent’s sexual orientation, and is subject to trade-offs that depend on both the agents’ preferences and the pool of potential partners. We show that same-sex couples experience lower gains from live-in relationships, a “same-sex penalty”. Absent this penalty, the share of same-sex couples in the U.S. would increase by about 50% (from 1.36% to 2.04% of all couples).

Authors

Institutions

Publication Details

Journal
Journal of the European Economic Association
Published
2026-10-27
DOI
https://doi.org/10.1093/jeea/jvag071
Primary Topic
LGBTQ Health, Identity, and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Matching on Gender and Sexual Orientation,

Marion Goussé, Edoardo Ciscato
Journal of the European Economic Association
LGBTQ Health, Identity, and Policy
article

Matching on Gender and Sexual Orientation,

Marion Goussé, Edoardo Ciscato
article en

Abstract

Abstract We study the mating patterns of non-heterosexual individuals, who represent a significant and increasing portion of the population, particularly among the youth. We estimate a multidimensional matching model of the marriage market where partner’s gender is endogenously chosen conditional on the agent’s sexual orientation, and is subject to trade-offs that depend on both the agents’ preferences and the pool of potential partners. We show that same-sex couples experience lower gains from live-in relationships, a “same-sex penalty”. Absent this penalty, the share of same-sex couples in the U.S. would increase by about 50% (from 1.36% to 2.04% of all couples).

Journal of the European Economic Association
École Nationale de la Statistique et de l'Analyse de l'Information (FR), Centre de Recherche en Économie et Statistique (FR), KU Leuven (BE)
Openalex Percentile: Top 8%
LGBTQ Health, Identity, and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon