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Differences-in-Differences

The Differences-in-Differences (DiD) methodology is a statistical technique used to evaluate the effect of a treatment or intervention by comparing the changes over time between a treatment group and a control group. The key assumption is that, in the absence of the treatment, the treatment group's outcomes would have followed the same trend as those of the control group. This approach helps to isolate the treatment effect from confounding factors and is widely used in policy evaluation and social sciences research.

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Differences-in-Differences

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    1. Differences-in-Differences

    2. Identifying Assumption Whatever happened to the control group over time is what would have happened to the treatment group in the absence of the program.

    3. Identifying Assumption Whatever happened to the control group over time is what would have happened to the treatment group in the absence of the program.

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