Causal Inference
Panel data refers to a type of data that combines both cross-sectional and time-series data, allowing researchers to analyze multiple subjects over multiple time periods. This unique structure enables the examination of changes over time within the same subjects, providing richer insights into causal relationships. It is particularly valuable in causal inference as it helps control for unobserved heterogeneity, making it easier to draw conclusions about cause-and-effect relationships.
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