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.我们以二分结果变量作为再犯行为的代理变量，该变量用于判定某自然年度内获释的监禁人员是否在同一年度内再次被收监。该模型共包含5个参数：截距项；针对3月23日至29日当周释放的虚拟变量固定效应；针对2020年释放的虚拟变量固定效应；针对2020年3月23日至29日特定时段释放的交互效应；以及监禁时长固定效应。该模型与表1中的模型结构基本一致，仅额外添加了监禁时长固定效应。