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CAUSAL MODELING FOR ESTIMATING OUTCOMES ASSOCIATED WITH DECISION ALTERNATIVES
CAUSAL MODELING FOR ESTIMATING OUTCOMES ASSOCIATED WITH DECISION ALTERNATIVES
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机译:因果模型,用于估计与决策替代方案相关的结果
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摘要
A method and system for estimating potential future outcomes resulting from decision alternatives is presented to enable lenders to make lending related decisions. The estimation is based on a propensity score variable that encompasses an effect of multiple covariates associated with one or more individuals for whom the estimation is being performed. For consistency with empirical testing, the estimation approach assumes conditions of unconfoundedness and localized common support. According to the unconfoundedness assumption, for a given variable, the potential outcomes are conditionally independent of the decision alternatives. According to the localized common support assumption, an overlap is ensured between individual accounts that are categorized together as potentially having the same future outcome. The outcomes and an effect (e.g. comparison) of the outcomes may be displayed graphically.
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