Randomization does not justify logistic regression

The logit model is often used to analyze experimental data. However, randomization does not justify the model, so the usual estimators can be inconsistent. A consistent estimator is proposed. Neyman's non-parametric setup is used as a benchmark. In this setup, each subject has two potential if treated and the other if untreated; only one of the two re-responses, can be observed. Beside the mathematics, there are simulation results, a brief review of the literature, and some recommendations for practice.