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Econometrics I (ECON 325)

This section contains material to support UBC’s ECON 325 Introduction to Empirical Economics. This course is a first course in econometrics, and is designed to give students a general introduction to probability and statistics, in the econometric setting.

These modules in particular are designed to be used in 1 or 2 one-hour long lab environments, with TA or Instructor supervision
They can also be used for self-study, with some additional effort

These materials do not (currently) include a review of basic probability, which is slated for future development due to the overlap this has with AP and IB Statistics from high school.

1.0.0 - Beginner - Introduction to Statistics

This notebook introduces you to some fundamental statistics and basic probability concepts. It is designed to cover introductory statistics material taught in Foundations of…

1.0.1 - Beginner - Introduction to Statistics using R

This notebook is an introduction to basic statistics using Jupyter and R, and some fundamental data analysis. It is a high-level review of the most important applied tools…

1.1.1 - Beginner - Central Tendency

This notebook is an introduction to basic statistics using Jupyter and R, and some fundamental data analysis.

1.2 - Beginner - Dispersion and Dependence

In this notebook we explore how data is spread out, and what that means for its interpretation. This includes both how individual values may vary, and how values may…

1.3.2 - Beginner - Confidence Intervals

What does it mean to be confident in a statistical estimate? This notebook is an introduction to confidence, and confidence intervals - especially in the context of the…

1.4.2 - Beginner - Hypothesis Testing

What is a hypothesis? How do we test it? This notebook introduces hypothesis testing in two different ways, outlining the connection between them and how we can use this…

1.5.1 - Beginner - Introduction to Data Visualization I

How do we make visualizations of data? This notebook uses the ggplot packages to help create impactful data visualizations using R. We will also discuss the rationale…

1.5.2 - Beginner - Introduction to Data Visualization II

How do we make visualizations of data? This notebook uses the ggplot packages to help create impactful data visualizations using R. This builds on the first notebook…

1.6 - Beginner - Distributions

This notebook introduces the idea of a statistical distribution, including its properties and some commonly used functions associated with it. We also discuss the shape of…

1.8 - Beginner - Sampling Distributions

What is a sampling distribution? This notebook tackles, using a simulation-based approach, the most complex idea in this course. It is code-heavy, but most of it is in the…

2.1 - Intermediate - Introduction to Regression

An introduction to simple regression using Jupyter and R, with an emphasis on understanding what regression models are actually doing. Computation is using OLS.

Projects - Example Project for ECON 325

Let’s put it all together! This notebook is an example of what a “final project” might look like in ECON 325. It summarizes and uses all of the empirical skills and R…