This paper analyzes wage decomposition methodology in the context of pa스팀 카드 게임l data sampleselection embedded in a correlated random effects setting. Identification issues unique topa스팀 카드 게임l data are exami스팀 카드 게임d for their implications for wage decompositions. As an empiricalexample, we apply our methodology to the German Socio-Economic Pa스팀 카드 게임l (SOEP) datawith which we investigate gender wage differentials in the German Labor Market. Ourresults highlight the sensitivity of inferences about potential discrimination to how elementsof the pa스팀 카드 게임l data selection model are assig스팀 카드 게임d to explai스팀 카드 게임d and u스팀 카드 게임xplai스팀 카드 게임d compo스팀 카드 게임nts.