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    • Making Sense of Economic Data (ECON 226/227)
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  1. Econometrics I (ECON 325)
  • Learn by Class


  • Making Sense of Economic Data (ECON 226)
    • Introduction to Statistics I
    • Introduction to Statistics II
    • Central Tendency
    • Confidence Intervals
    • Hypothesis Testing

  • Econometrics I (ECON 325)
    • Introduction to Statistics I
    • Introduction to Statistics II
    • Central Tendency
    • Dispersion and Dependence
    • Confidence Intervals
    • Hypothesis Testing
    • Data Visualization I
    • Data Visualization II
    • Distributions
    • Simple Regression
    • Sampling Distributions
    • Example Project (325)

  • Econometrics II (ECON 326)
    • Review of Basic Statistics using R
    • Introduction to Regression
    • Multiple Regression
    • Issues in Regression
    • Interactions and Non-Linear Terms
    • Example Project (326)

  • Notebooks
    • Introduction to ANOVA
    • Regression Analysis
    • Chi-Squared Tests
    • t-Tests
Categories
All (12)
R (12)
asymptotics (1)
bar plot (1)
beginner (12)
bootstrapping (1)
cdf (1)
central limit theorem (1)
central tendency (2)
chi-square distribution (1)
confidence bands (1)
confidence intervals (1)
confidence level (1)
correlation (1)
covariance (1)
critical value (1)
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data visualization (1)
data wrangling (1)
descriptive statistics (4)
distribution (1)
distributions (2)
dummy variable (2)
econ 226 (2)
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econ 227. confidence intervals (1)
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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.

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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…
10 Aug 2023

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…
8 May 2023

1.1.1 - Beginner - Central Tendency
This notebook is an introduction to basic statistics using Jupyter and R, and some fundamental data analysis.
4 Jun 2023

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…
12 Jan 2023

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…
12 Jan 2023

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…
12 Jan 2023

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…
12 Jan 2023

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…
12 Jan 2023

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…
12 Jan 2023

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…
12 Jan 2023

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.
25 Jul 2024

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…
12 Jan 2023
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Dispersion and Dependence
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