Robustness checks are methods used to assess the reliability and stability of empirical results by testing them under various conditions or assumptions. These checks help ensure that findings are not sensitive to specific model specifications, sample selections, or estimation techniques, thus enhancing the credibility of the research. By conducting robustness checks, researchers can identify potential weaknesses in their analyses and provide more comprehensive evidence for their conclusions.
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