Economics 343 is currently being offered in Spring 2026 (first half).
Course Book (UPDATED 2025)
Equation Sheet {Added 2026)
Syllabus (8-week, Spring 2026)
Some review material:
Macroeconomics videos (ECON 215)
Macro Principles Notes
International Macroeconomics Notes
R code for the book examples:
This Excel file shows some formulas, summary statistics, and graphs.
Here is an outside course on traditional time series analysis.
There are four R examples (one on each theme), as well as a fifth that integrates the concepts:
Real Variables
Prices
Money
International
Oil Prices and Volatility
Here are three additional R tutorials (on some basic time-series concepts). The video links and .R files are below:
Introduction to Time Series in R
Lags, Differences, and Autocorrelation in R
Volatility Modeling: GARCH Processes in R
I made these videos for this course:
Macroeconomic Data Sources and Variables
Graphing Macroeconomic Data Using FRED
Finding and Downloading Macroeconomic Data
Macroeconomic Data Transformations (MacroDataExample.R) (Excel file)
Basic Summary Statistics in Excel (Excel file)
Writing a Macroeconomic Report
Graphics and Text in a Macroeconomic Report
Making a Time–Series Graph in Excel (Data)
Making a (Regression) Table in Excel
These involve some more advanced topics: (.R files are included)
Downloading Free Software: RStudio and gretl
Introduction to Time Series in R (343_Lab1_R.R)
Application: Testing PPP in R (GitHub Page)
Creating Annual Averages from Monthly Data Using an R Loop (SubsetAnnual.R)
Deseasonalizing Time Series in R (Deseas_CPI.R)
Extracting Business Cycles and Calculating Cross-Correlations in R (R_Cycles.R)
Lags, Differences, and Autocorrelation in R (Autoregressions_R.R)
Volatility Modeling: GARCH Processes in R (GARCH_JPY.R)
Vector Autoregressions and Macroeconomic Analysis in R (CAVAR.R)