Syllabus

Econometrics Instructor
Dr. Ryan Safner
118 Rosenstock
safner@hood.edu
@ryansafner
Office hours: MW 10:30–11:30AM

Course
TuTh
August 26–December 10, 2019
2:00–3:15 PM
119 Rosenstock
Slack


is the application of statistical tools to quantify and measure economic relationships in the real world. It uses real data to test economic hypotheses, quantitatively estimate causal relationships between economic variables, and to make forecasts of future events. The primary tool that economists use for empirical analysis is ordinary least squares (OLS) linear regression, so the majority of this course will focus on understanding, applying, and extending OLS regressions.

I assume you have some working knowledge of economics at the intermediate level and some basic statistical tools.The formal prerequisites for this course are ECON 205 and ECON 206; ECMG 212 or MATH 112; and ECON 305 or ECON 306

We will do some basic review of some necessary statistics and probability at the beginning until everyone is comfortable, before jumping right into regressions.

Course objectives

By the end of this course, you will:

  1. understand and evaluate statistical and empirical claims;
  2. understand research design and hypothesis testing;
  3. gain experience working with, interpreting, and communicating real data.

I am less concerned with forcing you to memorize and recite proofs of statistical estimator properties, and more concerned with the development of your intuitions and the ability to think critically as an empirical social scientist—although this will require you to demonstrate proficiency with some intermediate statistical and mathematical tools.

Given these objectives, this course fulfills three of the four learning outcomes for BYU’s Master of Public Administration (MPA) program:

Econometrics is hard. It will be one of the hardest economics courses that you will take, primarily due to the mathematical content. I will do my best to make this class intuitive and helpful, if not interesting. If at any point you find yourself struggling in this course for any reason, please come see me. Do not suffer in silence! Coming to see me for help does not diminish my view of you, in fact I will hold you in higher regard for understanding your own needs and taking charge of your own learning. There are also a some fantastic resources on campus, such as the Center for Academic Achievement and Retention (CAAR) and the Beneficial-Hodson Library.

Course materials

Most of the readings in this class are free.

Books

The following book is requiredYou are not obligated to buy it, I just strongly recommend it in the sense that you will still have access to all data and assignments without possessing the book. But this is a course where you really will want to understand the derivations or get additional context beyond just my slides…

and will be available from the campus bookstore.

You are welcome to purchase the book by other means (e.g. Amazon, half.com, etc). I have no financial stake in requiring you to purchase this book. The (cheaper) 1st edition is sufficient, but makes significantly less use of R (in favor of STATA).

Software

You are strongly recommended to download copies of R and R Studio on your own computers. These software packages are available on all computers in the trading room, and you will have access to them during the week to work on assignments.

We will also have a shared class workspace in RStudio.cloud that runs a full instance of R Studio in your web browser (so no need to install anything!) will let you access files and assignments.

Articles

Throughout the course, I will post both required and supplemental (non-required) readings that enrich your understanding for each topic on Blackboard. Check Blackboard frequently for announcements and updates to assignments, readings, and grades.

Online help and Slack

Economics can be difficult. Computer programming can be difficult. Computers are stupid and little errors in your code can cause hours of headache (even if you’ve been doing this stuff for years!).

Fortunately there are tons of online resources to help you with this. Two of the most important are StackOverflow (a Q&A site with hundreds of thousands of answers to all sorts of programming questions) and RStudio Community (a forum specifically designed for people using RStudio and the tidyverse (i.e. you)).

Searching for help with R on Google can be tricky because the program is, um, a single letter. Try searching for “rstats” instead. If you use Twitter, post R-related questions and content with #rstats.

Additionally, we have a class chatroom at Slack where anyone in the class can ask questions and anyone can answer. Ask questions about the readings or problem sets in the class Slack workspace. I will monitor Slack regularly, and you should also all do so as well. You’ll likely have similar questions as your peers, and you’ll likely be able to answer other peoples’ questions too.

Course policies

Be nice. Be honest. Don’t cheat.

We will also follow the full list of Marriott School and BYU classroom policies.

Counseling and Psychological Services (CAPS)

Life at BYU can be complicated and challenging. You might feel overwhelmed, experience anxiety or depression, or struggle with relationships or family responsibilities. Counseling and Psychological Services (CAPS) provides free, confidential support for students who are struggling with mental health and emotional challenges. The CAPS office is staffed by professional psychologists who are attuned to the needs of all types of college and professional students. Please do not hesitate to contact CAPS for assistance—getting help is a smart and courageous thing to do.

Assignments and grades

You can find descriptions for all the assignments on the assignments page.

knitr::kable(assignments)
Assignment Percent
1 Research Project 30%
n Problem sets (Average) 25%
1 Midterm 20%
1 Final 25%


Grade Range Grade Range
A 93–100% C 73–76%
A− 90–92% C− 70–72%
B+ 87–89% D+ 67–69%
B 83–86% D 63–66%
B− 80–82% D− 60–62%
C+ 77–79% F < 60%

Red pandas

Hungry red panda

Once you have read this entire syllabus and the assignments page, please click here and e-mail me a picture of a red panda. For real. Brownie points if it’s animated.