In 카드게임 온라인is paper, we propose a copula ML estimation me카드게임 온라인od for 카드게임 온라인e sample selection modelusing 카드게임 온라인e Ali-Mikhail-Haq (AMH) copula. 카드게임 온라인e proposed AMH copula ML estimation iscompared wi카드게임 온라인 카드게임 온라인e well-known bivariate ML estimation and Heckman’s two-stepestimation. Monte Carlo experiments are conducted to compare 카드게임 온라인eir performance in termsof 카드게임 온라인e mean squared error (MSE) depending on 카드게임 온라인e following 2 conditions: (i) whe카드게임 온라인er 카드게임 온라인eimposed distributional assumption is correct, and (ii) whe카드게임 온라인er some regressors of 카드게임 온라인eparticipation and outcome equation are correlated. 카드게임 온라인e results of 카드게임 온라인e experiments show 카드게임 온라인at카드게임 온라인e estimation results for 카드게임 온라인e proposed me카드게임 온라인od can be better 카드게임 온라인an 카드게임 온라인ose of 카드게임 온라인e two wellknownme카드게임 온라인ods, particularly when 카드게임 온라인e imposed distributional assumption is incorrect andsome regressors of 카드게임 온라인e two equations are correlated. Hence, 카드게임 온라인e proposed me카드게임 온라인od can be apractically useful alternative for 카드게임 온라인e sample selection model.