Course: ECO 312
Instructor: Bo Honore
F 2017

Description of Course Goals and Curriculum

We learned a lot about linear regressions as well as interaction variables, dummy variables, logistic regressions, panel data, instrumental variables and some time series analysis. The course was very well structured and organized. We also learned STATA for performing the regressions and basics of statistics including MLE, CLT, confidence intervals, hypothesis testing, F-tests etc.

Learning From Classroom Instruction

Two lectures per week – lectures were organized very well, with very detailed slides. We had a 5 minute break during the 80 minute lecture which was perfect for going to the bathroom, getting water, checking emails and taking a short break. Weekly precepts covered all the material as well as preparing us for exams and problem sets, and were very well presented.

Learning For and From Assignments

Assignments were great at reinforcing material learned during class and giving us a hands-on approach to performing regressions in STATA. Many pset problems were from previous exams, giving us a way to study and review for assessments, which were very fair and predictable.

External Resources

Mostly tutorials on STATA although that was already covered very well during lecture and precepts.

What Students Should Know About This Course For Purposes Of Course Selection

This course is probably the most important course at Princeton for many people – you learn so much and so much of this can be applied to anything. A solid knowledge of stats is absolutely essential for this course, but anyone who has taken a basic stats course should be good. This course is a must take for any COS, ORF, ECO, MAT major or anyone who wants a job in finance or tech, or are interested in graduate school. While many topics in the course can be considered ‘trivial’, it will introduce you to a lot of topics you will need to write your junior papers and to prepare you for Graduate Econometrics.
A Math Approach

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