📚 Resources
Supplementary materials to use alongside this course. Everything here is freely available online or in the shared Dropbox folder.
Textbook
Wooldridge, J.M. — Introductory Econometrics: A Modern Approach
The primary reference for the modules. Chapter and page references may vary across editions; check examples against your copy. If you have access, look in the shared Dropbox folder under ECMT5001 - Principles of Econometrics/.
| Edition | Notes |
|---|---|
| 8th ed. | Current publisher edition; do not assume it is the unit’s prescribed text |
| 7th ed. | Reference edition used in these self-study notes; check your unit outline for prescribed texts |
| 5th–6th ed. | Useful for self-study, but chapter, example and page details can differ |
R Resources
This course uses R for applied examples. The wooldridge R package gives you all 115 textbook datasets ready to load in one line.
Install the package
install.packages("wooldridge")
library(wooldridge)
Key R resources
1. Introductory Econometrics Examples (vignette)
https://justinmshea.github.io/wooldridge/articles/Introductory-Econometrics-Examples.html
The official package vignette. Reproduces worked examples from Chapters 2–18 of Wooldridge using R. Covers simple OLS through IV/2SLS and time series. Start here if you are new to R and want to see the textbook examples in code.
- Ch 2: Simple regression — log wage equation (
wage1) - Ch 3–4: Multiple regression, inference (
gpa1,hprice1) - Ch 8: Heteroskedasticity (
hprice1,smoke) - Ch 10–12: Time series (
intdef,barium) - Ch 15: IV/2SLS (
mroz,card)
2. r-econometrics.com — Wooldridge Chapter Reproductions
https://www.r-econometrics.com/reproduction/wooldridge/wooldridgeintro/
Chapter-by-chapter R reproductions of every main-text example in Wooldridge (2013, 5th ed.), with additional commentary. Covers Ch 2–19. Useful as a second reference if the vignette examples are unclear.
3. wooldridge Package Reference Manual (CRAN)
https://cloud.r-project.org/web/packages/wooldridge/refman/wooldridge.html
Full documentation for all 115 datasets: variable names, descriptions, sources, and page references to the textbook. Use this to look up a dataset before loading it.
4. Heiss — Using R for Introductory Econometrics (2nd ed., 2020)
A free companion textbook that mirrors Wooldridge chapter-by-chapter and teaches R alongside the econometrics. Recommended if you want a more structured R introduction than the vignette alone provides.
Datasets
All 115 Wooldridge datasets are available in two ways:
- Via the R package —
data(wage1),data(hprice1), etc. - Dropbox folder — raw files in
ECMT5001 - Principles of Econometrics/(CSV and Stata.dtaformats)
Key datasets by module:
| Module | Dataset(s) | Topic |
|---|---|---|
| M01 | wage1, gpa1 |
Summary stats, distributions |
| M02 | wage1, ceosal1 |
Simple OLS, log-wage |
| M03 | gpa1, hprice1 |
Multiple regression |
| M04 | gpa2, meap93 |
t-tests, F-tests |
| M05 | hprice1, wage1, cps78_85 |
Log models, dummies |
| M06 | hprice1, smoke |
Heteroskedasticity tests, WLS |
| M07 | lawsch85, wage2 |
Proxy variables, measurement error |
| M08 | intdef, fertil3 |
Time series, FDL models |
| M09 | barium, nyse |
Serial correlation, Cochrane-Orcutt |
| M10 | mroz, card |
IV, 2SLS, DiD |
Publisher and package links
| Resource | Link |
|---|---|
| USYD ECMT5001 unit page | https://www.sydney.edu.au/units/ECMT5001 |
| Cengage Book Companion Site | https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041 |
| CRAN wooldridge package | https://cran.r-project.org/web/packages/wooldridge/ |
| Package source (GitHub) | https://github.com/JustinMShea/wooldridge |
Cengage materials
The Cengage companion site requires institutional access for instructor materials (solutions, test banks). Link to the public-facing companion only; do not reproduce Cengage-owned content.
USYD ECMT5001
This self-study course is intended to support USYD ECMT5001 Principles of Econometrics. The week-by-week mapping below is an indicative study plan, not a verified Semester 1 2027 unit outline; check the official outline when available.
| Course Module | ECMT5001 Lectures | Wooldridge Chapters |
|---|---|---|
| M01 | Wk 1 — Probability & Stats Review | Appendix B–C |
| M02 | Wk 2 — Simple Regression | Ch 2 |
| M03 | Wk 3 — Multiple Regression | Ch 3–4 |
| M04 | Wk 4 — Inference | Ch 4–5 |
| M05 | Wk 5 — Functional Forms | Ch 6–7 |
| M06 | Wk 6 — Heteroskedasticity | Ch 8 |
| M07 | Wk 7 — Specification | Ch 9 |
| M08 | Wk 8 — Time Series | Ch 10–11 |
| M09 | Wk 9 — Serial Correlation | Ch 12 |
| M10 | Wk 10 — IV & DiD | Ch 15 |