In this article, Professor Giovanni Peri applies the synthetic control method to reexamine the labor market effects of the Mariel Boatlift, first studied by David Card (1990).  This method improves on previous studies by choosing a control group of cities that best matches Miami’s labor market trends pre-Boatlift and providing more reliable inference. Using a sample of non-Cuban high school dropouts they find no significant difference in the wages of workers in Miami relative to its control after 1980. They also show that by focusing on small subsamples and matching the control group on a short pre-1979 series, as done in Borjas (2017), one can find large wage differences between Miami and the control because of large measurement error.

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