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The trial of Juan Orlando Hernández, once the seemingly untouchable and authoritarian president of Honduras, is officially set to begin on February 12. The US government supported Hernández from the beginning of his first presidential term and backed him even as evidence of his criminal involvement grew.
The absence of fraud does not guarantee that the identifying “parallel trends” assumption holds. This causes Escobari and Hoover’s approach to mistakenly find fraud where none exists.
In this post, we demonstrate how Escobari and Hoover's “difference-in-difference” models mistakenly identify fraud when the difference in trends interacts with the counting bias — even when the resulting trends are linear.
In this blog post series, we examined assumptions and biases in Escobari and Gary A. Hoover's 2020 report, “Evo Morales and Electoral Fraud in Bolivia: A Natural Experiment and Discontinuity Evidence.” We looked at counting biases and observed that support for a given candidate need not be uniform over the count.
The absence of fraud does not guarantee that the identifying “parallel trends” assumption holds. This causes Escobari and Hoover’s approach to mistakenly find fraud where none exists.