Stat Camp for Economics PhD Students Summer 2023

  In this course, we will equip students with the essential tools and knowledge in statistics that are essential to modern econometric theory. As probability theory lies in the very foundation of statistics, we will build the probability tools we need along the way. In this sense, this course is designed to be self-contained. The students are expected to not only understand
   the tools but also be able to have a rm understanding of the mathematical mechanisms behind them, in order to prepare for future econometrics training and research.
   
   There are four modules covered over twenty lectures of approximately two hours each. There is one problem set for each module and one quiz for each lecture. We will ask questions to be answered during the online lectures to measure your attendance. You should expect to study three hours on average for reviewing the material and doing the homework. There
   will be an exam at the end of the course. Assignment of course grades will be based on attendance (10%), quizzes (20%), homework (20%), and the exam (50%).
   
   Students are allowed to work in groups of up to two people (i.e., pairs) on the home-works (not quizzes or exams). For the
   first two weeks, there will be no punishment for late submissions. However, starting from Module 2, there will be a 25% deduction from the total points of that particular assignment for late submissions longer than 7 days unless students provide good excuses.