Econ 388 Final Review

A review of Introduction to Econometrics - BYU course ECON 388. Mostly comprehensive, weighted more towards the second half of the class.

TIMESTAMPS:
00:00 Intro
00:49 Review of Cross-Sectional Econometrics
04:30 Intro to Time Series
05:22 Finite Distributed Lag Model
07:07 Trends/Seasonality & Frisch-Waugh
08:48 Dependent Data
13:00 Panel Data
15:27 First-Differences and Fixed Effects
21:25 Difference-in-Differences
25:05 Nothing Important
28:07 DiD Example
31:00 Generalized DiD / 2WFE
33:40 Pizza
35:15 Instrumental Variables
39:13 Questions about test content
41:26 IVs and Matrices (JID vs OID)
42:50 2-Stage Least Squares
46:54 Hausman Test
59:04 Omnibus Overid (Sargan-Hansen) Test
1:03:02 Probit and Logit / MLE
1:09:38 Moving Average with Graph
1:12:32 FE vs. FD & the Within Transform
1:15:51 Autoregressive with Graph
1:20:00 Practice Exam (Winter 2025)

CORRECTIONS:
5:33 I accidentally described an Autoregressive process here (x depends on past x). The correct description of an FDL is that Zoey's makeup spending in prior months affects the demons she kills today (y depends on past x).
9:13 A Moving Average process refers to when x is dependent on the current error term AND some past error terms. (Also note that x here is a general variable, as AR and MA processes can apply to any variable.)
1:15:08 Note that you are subtracting off each individual-specific mean (ybar_i), not the grand mean. This is called the "within" transformation. Also note that the error term should also have the squiggle.

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Course Professor: Brigham Frandsen

Textbook reference:
- Introductory Econometrics: A Modern Approach (Jeffrey Wooldridge)
- Mostly Harmless Econometrics: An Empiricist's Companion (Joshua Angrist & Jorn-Steffen Pischke)

Видео Econ 388 Final Review канала Doggonomics