Semiparametric Causality Tests Using the Policy Propensity Score
收藏NBER2004-12-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w10975
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资源简介：
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
提供机构：
美国国家经济研究局
创建时间：
2004-12-01
