Semiparametric Causality Tests Using the Policy Propensity Score
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Time series data are widely used to explore causal relationships, typically in a regression framework with lagged dependent variables. Regression-based causality tests rely on an array of functional form and distributional assumptions for valid causal inference. This paper develops a semi-parametric
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美国国家经济研究局创建时间：
2004-12-01
