Текущая версия от 07:50, 17 сентября 2022

Data science for economists

One semester course, 2022-23 iteration will use python.

Class teacher: Nikita Toropov

Grade = 0.1 * HA1 + 0.1 * HA2 + 0.1 * HA3 + 0.1 * HA4 + 0.6 * Exam

Exam: offline, written form, no computers

HAs: offline, groups of two students are allowed

Week 1. Resampling methods

Naive bootstrap. Bootstrap of t-statistic.

Week 2. Resampling methods

Estimation of variance. Bootstrap in bootstrap.

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+=Data science for economists=
 ===General info===
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 Class teacher: Nikita Toropov
+[https://t.me/icef_dse_2022_23 Tg channel]
+[https://www.youtube.com/playlist?list=PLGpdGKp2JUvzdCI7DVy0vZP588Xk4iSIH Video lectures]
 ===Grades===
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 HAs: offline, groups of two students are allowed
+===Logs===
+'''Week 1'''. Resampling methods
+Naive bootstrap. Bootstrap of t-statistic.
+[http://web.cecs.pdx.edu/~cgshirl/Documents/Demonstrations/1983%20Efron%20Gong%20A%20Leisurely%20Look%20at%20the%20Bootstrap%20Jackknife%20CV%20CV_Boot_Jack2685844.pdf Efron, Leisurely Look at bootstrap, jackknife and cv]
+[https://arxiv.org/abs/1411.5279 Tim Hesterberg, What Teachers Should Know about the Bootstrap]
+'''Week 2'''. Resampling methods
+Estimation of variance. Bootstrap in bootstrap.
 ===Wisdom sources===