matchingMarkets

Implements structural estimators to correct for the sample selection bias from observed outcomes in matching markets. This includes one-sided matching of agents into groups (Klein, 2015) as well as two-sided matching of students to schools (Aue et al., 2020) . The package also contains algorithms to find stable matchings in the three most common matching problems: the stable roommates problem (Irving, 1985) doi:10.1016/0196-6774(85)90033-1, the college admissions problem (Gale and Shapley, 1962) doi:10.2307/2312726, and the house allocation problem (Shapley and Scarf, 1974) doi:10.1016/0304-4068(74)90033-0.