Monte Carlo exercises with Logit peer effects with missing outcomes

This dataset has all the codes that are used to create the Monte Carlo exercises described in: Madeira, C. (2022), "Partial identification of non-linear peer effects models with missing data", Swiss Journal of Economics and Statistics, forthcoming. The codes include a README file that explains each program and the estimator options.本数据集包含用于复现Madeira, C. (2022)在《瑞士经济与统计期刊》（Swiss Journal of Economics and Statistics，待刊）发表的论文《带有缺失数据的非线性同伴效应模型的部分识别（Partial identification of non-linear peer effects models with missing data）》中所述蒙特卡洛实验（Monte Carlo exercises）的全部代码。该代码包附带一份README文件，用于阐释各程序的功能与估计量的可选参数。