ECON 346, Northeastern Illinois University

Economics 346, “Applied Economic Statistics Using R,”will be offered during Fall 2023, TR 5:40-6:55, in-person in BBH 242.

Syllabus (Fall 2023)
Lecture notes

Suggested texts:
Venables and Smith
Grolemund and Wickham
Illowsky and Dean (Introductory statistics)

Tutorials

Basic R Operations
Basic Tools: Summary Statistics and Correlation
Distributions and Hypothesis Testing
Regression Analysis
Regression Coefficients
Heteroskedasticity

Lectures and Videos

The corresponding .R files (numbered by lecture) are posted as well. I may add some new ones as the term progresses.

1. A Very Basic Introduction to R and RStudio

2. Calculating Real GDP and Growth in R

3. Basic Summary Statistics in R   [.pdf: statistical formulas]

4. Calculating (Inflation) Correlations in R   [.pdf: understanding correlations]

5. Basic Data Visualization in R

6. Basic Data Visualization and Customization in R

7. Visualizing Statistical Distributions in R   [.pdf: Compendium of distributions]
   Generating a Chi-Square Distribution in R using a for() Loop
   Visualizing the Binomial Distribution Using R
   (NEW!) Using R to Visualize the Poisson Distribution
   (NEW!) Using R to Visualize the F-Distribution
   (NEW!) Using dnorm() to compare the Normal and T-distributions in R

8. Simple T-Tests in R    [.pdf: A concise summary of statistical concepts]

9. Regression Analysis in R
   Calculating a Simple (Nonparametric) Regression Slope Coefficient in R
   (NEW!) Regression Concepts Explained    [Excel file]
   (NEW!) Understanding Regression Coefficients     [.R File]

10. Regression Example: The Urban "Rank-Size-Rule" in R
    Evaluating the "Rank-Size Rule" for Different Sample Sizes in R

11. Time series materials are "shared" with my Econ 343 course.

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