Logistic regression model for readmission with additional parameter.

As a proxy for reoffense, we use a dichotomous outcome variable indicating whether or not an individual discharged during a given calendar year was readmitted in the same calendar year. The model includes five parameters: an intercept; an indicator fixed effect for release during the week of March 23—29; an indicator fixed effect for release during 2020; an interaction effect for release specifically during March 23—29, 2020; and a fixed effect for incarceration duration. The model is similar to that of Table 1 but adds the duration fixed effect.