The authors propose a multidisciplinary model of the predictors of reemployment and test its predictive validity for explaining reemployment success. Predictor variables from the fields of economics, sociology, and psychology are incorporated into the model. Reemployment success is conceptualized as a construct consisting of unemployment insurance exhaustion and reemployment speed, and for reemployed persons, job improvement, job-organization fit, and intention to leave the new job. Direct, mediated, and moderated relationships were hypothesized and tested, clarifying the role of the variables in the reemployment process and outcome. The authors' proposal and examination of a multidisciplinary model of reemployment success contributes to a literature that has not tended to adequately cross disciplinary boundaries.