Visual Heuristics for Marginal Effects Plots

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Authors Thomas B. Pepinsky
Journal/Conference Name RESEARCH & POLITICS
Paper Category
Paper Abstract Common visual heuristics used to interpret marginal effects plots are susceptible to Type-1 error. This susceptibility varies as a function of (a) sample size, (b) stochastic error in the true data...
Date of publication 2018
Code Programming Language R

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