Course

Stat Camp for Economics PhD Students Summer 2024

Ended Jul 19, 2024

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Full course description

n this course, we will equip students with the essential tools and knowledge in statistics that are vital to modern econometric theory. Since probability theory forms the foundation of statistics, we will develop the necessary probability tools as we progress. Thus, this course is designed to be self-contained. The students are expected not only to comprehend the tools but also to grasp the mathematical mechanisms behind them thoroughly. This will prepare them for future econometrics training and research.
   
   There are 4 modules covered in this course: Probability Theory, Random Variables, Multivariate Random Variables, and Large Sample Theory. These modules will be presented over 20 video lectures, each approximately 2 hours long. To assess attendance, pop-up questions will be incorporated during the lectures. For each module, there will be 1 problem set, and for each lecture, there will be 1 quiz. On average, you should allocate about 4 hours to review the material and complete the homework for each module. The course takes approximately 8 weeks to complete. Assignments will be graded by the instructor within a week of submission, and detailed feedback will be provided to help you improve your skills. At the end of the course, there will be a final exam. Students will coordinate the timing of their final exam with the instructor during the exam period (and all assignments should be completed by that date as well).
   
   The final course grade will be based on attendance (10%), quizzes (20%), homework (20%), and the exam (50%). Please make sure to contact the instructor, Jiewen Luo, at jl261@rice.edu, once you are enrolled in the course.

Please enter the amount of time allowed to complete this course, if applicable. (Please type n/a if there is no time limit.) 
   There will be 20 video lectures, each approximately 2 hours long. The course takes approximately 8 weeks to complete.

Please give a full course description including the room location, prerequisites, and materials needed for the course, as applicable. For self-paced courses, an idea of how much time will or should be spent can be helpful. If a brand new course is being requested, we must have a description along with an intended audience in order to approve the course even if you do not want this description shown to students.
   This online statistics camp, offered by Rice University, provides a great opportunity for individuals interested in developing the essential statistical tools required for advanced econometric theory. Once enrolled in the course, students will have complete access to all video lectures and course materials, enabling them to study asynchronously at their own pace. Upon successful completion of all coursework, students will receive a skill certificate.
   
   The course covers four modules: Probability Theory, Random Variables, Multivariate Random Variables, and Large Sample Theory. These modules consist of 20 video lectures, each approximately 2 hours long. To track attendance, pop-up questions will be included during the lectures. Each module includes one problem set, and each lecture is followed by a quiz. On average, students should allocate about 4 hours to review the material and complete the homework for each module.
   
   Video lectures are accessible throughout the course. As such, students can choose when to study the course content and complete the assignments. However, it's important to note that the course takes approximately 8 weeks to complete. Assignments will be graded by the instructor within a week of submission, with detailed feedback provided to help students improve their skills.
   
   At the end of the course, there will be a final exam. Students must schedule their final exam with the instructor during the final exam period. Consequently, all assignments should be completed by that date as well. The final course grade will be based on attendance (10%), quizzes (20%), homework (20%), and the exam (50%).
   
   Students are encouraged to engage in discussions, exchange ideas, and seek clarification by utilizing the Canvas Discussion Forum. This platform facilitates interaction between students and the instructor, fostering collaborative learning and addressing questions or concerns.
   
   Throughout the course, the instructor will hold weekly office hours and students can also make additional appointments if needed. This dedicated time offers an invaluable opportunity for personalized guidance and support tailored to meet the unique needs of each student.