GOV 2000 is designed for students who already have some background in statistics/mathematics/computing, or for beginners who are looking for a challenge. Students taking this section of the course will learn to be flexible data analysts, capable of tailoring standard methods to the unique specifications of each task. As such, these students will be asked in the problem sets to write/adjust the code necessary to replicate and critique results from the literature. This section of the course will be taught within the R statistical com- puting environment.
GOV 2000e is designed for students with a limited background in statistics/mathematics/computing. Students in this section of the course will focus on the analysis and critique portions of the assignments. This section of the course will be taught with the Stata statistical software, and the students will be provided with the additional code necessary to replicate and critique results from the literature.
GOV 1000 is intended for undergraduate students and will be taught with the Stata statistical software as the default option. Undergraduate students may choose to use R instead, but will be responsible for some additional questions on problem sets.
GOV E-2000 is designed for Harvard Extension School students. This section of the course will be taught with the R statistical computing environment as the default with the belief that concepts such as statistical simulation, which are heavily used in GOV E-2001, are important skills that students should take away from the course. However, we will consider accommodating requests to complete the problem sets using Stata statistical software.